A security gateway management method for managing AI large language models

Abstract

The present invention discloses a method for managing a security gateway for an AI large language model, comprising the following steps: Step 1: Demand determination and planning: clarifying requirements and goals before starting to manage the security gateway for the AI ​​large language model; Step 2: Selecting a security gateway: selecting a security gateway that meets current requirements; Step 3: Configuration and integration: configuring according to the selected security gateway; Step 4: Security settings: configuring security policies for the security gateway; Step 5: Testing and verification: testing and verifying the security gateway before formal deployment; Step 6: Deployment and operation: deploying the security gateway to a production environment and monitoring its operating status; Step 7: Maintenance and update: regularly maintaining and updating the security gateway. The present invention can perform more comprehensive management of the AI ​​large language model security gateway and better the security of the AI ​​large language model security gateway.

Description

Technical Field

[0001] The present invention relates to the field of management methods, and in particular to a security gateway management method for managing an AI large language model. Background Art

[0002] The AI ​​Large Language Model Security Gateway is a security protection system designed specifically for AI large language models. It is located between the AI ​​large language model and the external network, and is designed to provide comprehensive security protection to ensure the confidentiality, integrity, and availability of model data.

[0003] In the process of AI large language model security gateway, the AI ​​large language model security gateway management method will be used.

[0004] The existing management methods cannot guarantee the security of AI large language models well and cannot meet the needs of users, which has a certain impact on the use of management methods. Therefore, a security gateway management method for managing AI large language models is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that the existing management method cannot well guarantee the security of the AI ​​large language model, cannot meet the user's usage requirements, and has a certain impact on the use of the management method. A management method for a security gateway for managing an AI large language model is provided.

[0006] The present invention solves the above technical problems through the following technical solutions, and the present invention comprises the following steps:

[0007] Step 1: Requirements determination and planning: Clarify requirements and goals before starting to manage the security gateway of AI large language models;

[0008] Step 2: Select a security gateway: Select a security gateway that meets your current needs;

[0009] Step 3: Configuration and integration: Configure according to the selected security gateway;

[0010] Step 4: Security settings: configure security policies for the security gateway;

[0011] Step 5: Testing and verification: Before formal deployment, test and verify the security gateway;

[0012] Step 6: Deployment and operation: Deploy the security gateway to the production environment and monitor its operation status;

[0013] Step 7: Maintenance and Update: Regularly maintain and update the security gateway to ensure that it always maintains the latest security performance and functions. This includes fixing known security vulnerabilities, updating security policies, etc.

[0014] Step 8: Optimization and expansion: Optimize and expand the security gateway according to actual needs and usage.

[0015] Furthermore, the specific process of demand determination and planning in step 1 is as follows:

[0016] Clarify business needs and security goals: Clarify the business needs of the enterprise or organization, and at the same time, clarify the security goals;

[0017] Assess existing resources and capabilities: Infrastructure assessment: Assess existing infrastructure, including computing resources, storage resources, and network connectivity capabilities;

[0018] Technical capability assessment: Assess the technical capabilities of the team, including whether they have the expertise and skills to develop and maintain large language models and security gateways;

[0019] Determine goals and application scenarios: Clear goals: clarify the application goals of the large language model, scenario planning: plan in which specific scenarios the large language model will be used;

[0020] Determine the requirements for the security gateway and interface requirements: determine the required API interface type;

[0021] Performance requirements: Determine the performance standards that the security gateway needs to meet based on business requirements and scenario planning;

[0022] Security requirements: Clarify the security functions that the security gateway needs to implement.

[0023] Furthermore, the specific process of selecting the security gateway is as follows:

[0024] Extract the computing resources, storage resources, and network connection capabilities of the enterprise, import the computing resources, storage resources, and network connection capabilities of the enterprise into the model library, and collect the functional requirements of the AI ​​large language model that is closest to the computing resources, storage resources, and network connection capabilities from the model building library as the preliminary selected model;

[0025] Then extract the technical capabilities of the standard team corresponding to the 2 preliminary selected models and compare them with the technical capabilities of the enterprise team to obtain the real-time similarity;

[0026] When the real-time similarity is less than the preset value, the preliminary selected model is reselected;

[0027] When the real-time similarity is less than the preset value, the preliminary selected model is exported as the secondary selected model;

[0028] Afterwards, the interface requirements, performance requirements, and security requirements of the secondary selected model are evaluated;

[0029] When the similarity between the evaluation of interface requirements, performance requirements and security requirements in the secondary selection model and the interface requirements, performance requirements and security requirements of the enterprise are greater than the preset value, the secondary selection model is exported as the final requirement;

[0030] When the similarity between the interface requirements, performance requirements and security requirements in the secondary selection model and any of the similarities between the interface requirements, performance requirements and security requirements of the enterprise is less than the preset value, the secondary selection model is re-performed until it meets the actual needs of the enterprise.

[0031] Furthermore, the configuration process in the configuration and integration process is as follows:

[0032] Basic settings: Set basic parameters according to the security gateway's documentation or guide. If the security gateway supports a specific configuration protocol, configure it as needed.

[0033] API interface settings: The security gateway usually needs to interact with the AI ​​large language model, so it is necessary to configure the corresponding API interface. According to the API documentation of the AI ​​large language model, set the correct request URL, request header, and request body on the security gateway; configure the API authentication method, including key and OAuth;

[0034] Key management: When the API interface uses key authentication, the key needs to be set and managed on the security gateway;

[0035] Access permission setting: Configure the access permission of the security gateway as needed to ensure that only authorized users or systems can access the AI ​​large language model;

[0036] Logging and monitoring: Configure the logging function of the security gateway to record all interaction information with the AI ​​large language model;

[0037] Set monitoring alarms to send warnings to the administrator's preset receiving terminal when abnormalities or errors occur.

[0038] The integration process in the configuration and integration process is as follows:

[0039] Demand analysis: clarify the data format, transmission method, and interaction frequency requirements for the integration of the security gateway and the AI ​​large language model;

[0040] Interface connection: Based on the results of demand analysis, the API interface of the security gateway is connected with the API interface of the AI ​​large language model to test the correctness and stability of the interface connection. If the test passes, the connection is allowed.

[0041] Data transmission: configure the relevant parameters of data transmission;

[0042] Error handling: During the integration process, it is necessary to consider possible error situations and configure corresponding error handling mechanisms. When an error occurs, the security gateway should be able to handle it correctly and give corresponding error prompts.

[0043] Furthermore, the specific process of testing the correctness and stability of the interface docking is as follows: performing x times of interface docking tests continuously in a short period of time, obtaining x times of interface docking results, and the docking results include correct docking and docking errors;

[0044] Extract the number of docking errors in the x-times interface docking results. When the number of docking errors is greater than the preset value, it means that the test fails.

[0045] At the same time, after the correct docking, stability needs to be tested. When the number of times the stability is less than the preset amplitude is greater than the preset value, it means that the test fails.

[0046] Furthermore, the specific process of the security setting is as follows:

[0047] Access Control IP Whitelist: Configure the security gateway to accept requests only from predefined IP addresses or IP address ranges;

[0048] User authentication: Implement user-level identity authentication and authorization to ensure that only authorized users can access the AI ​​large language model;

[0049] API Key: Assign a unique API key to each user or application and verify that key with every request;

[0050] Encrypted transmission HTTPS: Configure the security gateway to use the HTTPS protocol and protect the data transmission process through SSL / TLS encryption technology;

[0051] Certificate management: Use valid SSL certificates and regularly update and check the validity of certificates;

[0052] Log audit request log: records all requests passing through the security gateway, including the source IP address, timestamp, and request content of the request;

[0053] Response log: records the response of the AI ​​large language model to the request;

[0054] Log analysis: Regularly analyze logs to detect abnormal behavior or potential security threats;

[0055] Monitoring strategy:

[0056] Performance monitoring request processing time: monitor the time it takes for the security gateway to process requests to ensure that the time it takes for the security gateway to process requests is within the preset acceptable range;

[0057] Throughput: Monitors the security gateway's throughput, which is the number of requests processed per second.

[0058] Furthermore, the specific process of the test and verification is as follows: The test contents of the functional test are as follows:

[0059] Access control: Test whether access control mechanisms such as IP whitelist, user authentication and API keys are effective;

[0060] Encrypted transmission: Verify that HTTPS is configured correctly, that encrypted communication is successfully established, and that there are no security warnings or errors;

[0061] Log auditing: ensuring that request and response logs are recorded correctly and can be searched and analyzed;

[0062] Other specific functions: Test other specific functions or features according to the specific needs of the security gateway;

[0063] Performance test content:

[0064] Throughput: Test the throughput of the security gateway under different loads;

[0065] Latency: measures the delay time when a request passes through the security gateway;

[0066] Resource usage: monitor the usage of CPU, memory, and network bandwidth resources;

[0067] Concurrent connections: Tests the performance of the security gateway when handling a large number of concurrent connections at the same time.

[0068] Safety test content:

[0069] Penetration testing: simulating external attackers trying to invade the security gateway;

[0070] Vulnerability scanning: Use automated tools to scan security gateways to discover known security vulnerabilities;

[0071] Denial of service attack testing: Simulates a denial of service attack to verify the resilience and recovery capabilities of the security gateway;

[0072] Security policy verification: Verify whether the configured security policies such as access control, encrypted transmission and log auditing work as expected;

[0073] Compatibility test content:

[0074] Integration test with AI large language model: Verify whether the security gateway can be seamlessly integrated with the AI ​​large language model and correctly forward and process requests;

[0075] Integration test with other systems: If the security gateway needs to be integrated with other systems, test whether the communication and interaction are normal;

[0076] Reliability test contents:

[0077] Fault recovery test: simulate abnormal situations such as hardware failure and software crash to verify whether the security gateway can automatically recover or quickly restore services;

[0078] Redundancy test: When the security gateway is configured with redundant components or cluster deployment, test its redundant switching and load balancing capabilities.

[0079] Compared with the prior art, the present invention has the following advantages: the management method for managing the AI ​​large language model security gateway can better prevent network attacks: the security gateway can effectively prevent the insecurity factors of the external network from penetrating into the internal network of the enterprise or organization, thereby protecting the AI ​​large language model from potential network attacks, providing strong security protection for the AI ​​large language model, ensuring that the security gateway can operate efficiently and safely in the production environment, and providing reliable protection for the large language model, ensuring that the AI ​​large language model security gateway can correctly, safely and efficiently interact and communicate with the AI ​​large language model, configuring appropriate access control, encrypted transmission and log auditing and other security policies, and combining performance and security monitoring, can ensure the security of the AI ​​large language model security gateway during data transmission and storage. At the same time, regular security assessments and repairs of known vulnerabilities are also important measures to maintain system security. Through testing and verification steps, it can be ensured that the security gateway has been fully verified and prepared before formal deployment, thereby reducing potential risks and problems. At the same time, these tests can also provide valuable reference information for subsequent maintenance and optimization. Regular maintenance and updating of the security gateway can ensure that the network always maintains the latest security performance and functions to cope with ever-changing network threats, making the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 It is the overall structural diagram of the present invention. DETAILED DESCRIPTION

[0081] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0082] like Figure 1 As shown, this embodiment provides a technical solution: a method for managing an AI large language model security gateway, comprising the following steps:

[0083] Step 1: Requirements determination and planning: Clarify requirements and goals before starting to manage the security gateway of AI large language models;

[0084] The specific process of demand determination and planning is crucial in the management of AI large language model security gateways:

[0085] Clarify business needs and security goals

[0086] Business needs: First, the business needs of the enterprise or organization need to be clearly defined. This includes understanding what problems the enterprise hopes to solve using AI big language models and in what specific business scenarios these models will play a role.

[0087] Security goals: At the same time, security goals must be clearly defined. This includes determining what data needs to be protected and what level of security is required. For example, for sensitive data, a higher level of encryption and access control may need to be implemented.

[0088] Assess existing resources and capabilities

[0089] Infrastructure assessment: Evaluate the existing infrastructure, including computing resources (such as GPU models and numbers), storage resources, and network connectivity. These resources will directly affect the training quality and speed of large language models.

[0090] Technical capability assessment: Assess the technical capabilities of the team, including whether they have the expertise and skills to develop and maintain large language models and secure gateways.

[0091] Determine goals and application scenarios

[0092] Clear goals: Clarify the application goals of the large language model, such as improving writing efficiency, achieving automatic translation, and conducting sentiment analysis.

[0093] Scenario planning: Plan the specific scenarios in which the large language model will be used, such as text processing, machine translation, sentiment analysis, etc. This helps to more accurately select appropriate data, models, and evaluation indicators.

[0094] Determine your security gateway needs

[0095] Interface requirements: Determine which API interfaces need to be supported in order to communicate with different large language models.

[0096] Performance requirements: Based on business needs and scenario planning, determine the performance standards that the security gateway needs to meet, such as data transmission rate, concurrent processing capability, etc.

[0097] Security requirements: Clarify the security functions that the security gateway needs to implement, such as access control, encrypted transmission, log auditing, etc.

[0098] Develop plans and timetables

[0099] Project planning: Based on the above requirements, develop a detailed project plan, including development plan, test plan, deployment plan, etc.

[0100] Timeline Development: Set clear timelines for each phase and make sure team members understand and follow them.

[0101] Budget and resource allocation

[0102] Budget preparation: Develop a detailed budget plan based on project planning and schedule, including personnel costs, equipment costs, software costs, etc.

[0103] Resource allocation: According to the budget plan, rationally allocate human, material and financial resources to ensure the smooth progress of the project.

[0104] Through the above steps, we can ensure that in the demand determination and planning stage of AI large language model security gateway management, factors such as business needs, security goals, existing resources and capabilities, goals and application scenarios are fully considered, providing clear direction and guidance for subsequent integration work.

[0105] Step 2: Select a security gateway: Select a security gateway that meets your current needs;

[0106] The specific process of selecting a security gateway is as follows:

[0107] Extract the computing resources, storage resources, and network connection capabilities of the enterprise, import the computing resources, storage resources, and network connection capabilities of the enterprise into the model library, and collect the functional requirements of the AI ​​large language model that is closest to the computing resources, storage resources, and network connection capabilities from the model building library as the preliminary selected model;

[0108] Then extract the technical capabilities of the standard team corresponding to the 2 preliminary selected models and compare them with the technical capabilities of the enterprise team to obtain the real-time similarity;

[0109] When the real-time similarity is less than the preset value, the preliminary selected model is reselected;

[0110] When the real-time similarity is less than the preset value, the preliminary selected model is exported as the secondary selected model;

[0111] Afterwards, the interface requirements, performance requirements, and security requirements of the secondary selected model are evaluated;

[0112] When the similarity between the evaluation of interface requirements, performance requirements and security requirements in the secondary selection model and the interface requirements, performance requirements and security requirements of the enterprise are greater than the preset value, the secondary selection model is exported as the final requirement;

[0113] When the similarity between the interface requirements, performance requirements and security requirements in the secondary selection model and any of the similarities between the interface requirements, performance requirements and security requirements of the enterprise is less than the preset value, the secondary selection model is re-performed until it meets the actual needs of the enterprise.

[0114] Step 3: Configuration and integration: Configure according to the selected security gateway;

[0115] Configuration process: Basic settings: First, set basic parameters such as IP address, subnet mask, default gateway, etc. according to the security gateway's documentation or guide.

[0116] If the security gateway supports specific configuration protocols (such as SNMP, SSH, etc.), please configure them as needed.

[0117] API interface settings: Security gateways usually need to interact with AI large language models, so the corresponding API interfaces need to be configured.

[0118] According to the API documentation of the AI ​​large language model, set the correct request URL, request header, request body, etc. on the security gateway.

[0119] Configure API authentication methods, such as keys and OAuth, to ensure that communication between the security gateway and the AI ​​model is secure.

[0120] Key management: If the API interface uses key authentication, these keys need to be set up and managed on the security gateway.

[0121] The generation, storage, update and destruction of keys must comply with strict security regulations.

[0122] Access permission settings: Configure the access permissions of the security gateway as needed to ensure that only authorized users or systems can access the AI ​​large language model.

[0123] You can set up IP whitelists, user authentication, and other methods to implement access control.

[0124] Logging and monitoring: Configure the logging function of the security gateway to record all interaction information with the AI ​​large language model.

[0125] Set up monitoring alarms to promptly notify administrators when anomalies or errors occur.

[0126] Set monitoring alarms to send warnings to the administrator's preset receiving terminal when an abnormality or error occurs;

[0127] The integration process in the configuration and integration process is as follows:

[0128] Integration Process

[0129] Requirements analysis: Clarify the specific requirements for the integration of the security gateway and the AI ​​large language model, including data format, transmission method, interaction frequency, etc.

[0130] Interface docking: Based on the results of demand analysis, the API interface of the security gateway is docked with the API interface of the AI ​​large language model.

[0131] Test the correctness and stability of interface docking to ensure that data can flow smoothly between them.

[0132] Data transmission: Configure the relevant parameters of data transmission, such as transmission protocol, port number, data format, etc.

[0133] If encrypted transmission is required, the corresponding encryption algorithm and key must be configured.

[0134] Error handling: During the integration process, you need to consider possible error situations and configure corresponding error handling mechanisms.

[0135] When an error occurs, the security gateway should be able to handle it correctly and give corresponding error prompts.

[0136] Performance optimization: Based on the actual operating conditions, the integrated system is optimized to improve processing efficiency and stability.

[0137] You can consider using technologies such as caching and load balancing to improve the overall performance of the system.

[0138] Document writing: Write detailed integration documentation, including configuration steps, interface descriptions, error handling, etc.

[0139] The documentation should be clear and easy to understand, so that subsequent developers and maintenance personnel can consult and use it.

[0140] Through the above configuration and integration process, it can be ensured that the AI ​​large language model security gateway can correctly, securely and efficiently interact and communicate with the AI ​​large language model;

[0141] The specific process of testing the correctness and stability of interface docking is as follows: perform x consecutive interface docking tests in a short period of time and obtain x interface docking results, which include correct docking and docking errors;

[0142] Extract the number of docking errors in the x-times interface docking results. When the number of docking errors is greater than the preset value, it means that the test fails.

[0143] At the same time, after the connection is correct, stability needs to be tested. If the stability is less than the preset amplitude for more times than the preset value, it means that the test fails;

[0144] Step 4: Security settings: configure security policies for the security gateway;

[0145] Security Settings

[0146] Access Control IP Whitelist: Configure the security gateway to accept requests only from predefined IP addresses or IP address ranges.

[0147] User authentication: Implement user-level authentication and authorization to ensure that only authorized users can access the AI ​​large language model.

[0148] API Key: Assign a unique API key to each user or application and verify that key with every request.

[0149] Encrypted transmission HTTPS: Configure the security gateway to use the HTTPS protocol and use SSL / TLS encryption technology to ensure the confidentiality and integrity of data during transmission.

[0150] Certificate management: Use a valid SSL certificate and regularly renew and check the validity of the certificate.

[0151] Log audit request log: records all requests passing through the security gateway, including the source IP address, timestamp, request content, etc.

[0152] Response log: records the AI ​​large language model's response to requests, including response content, response time, etc.

[0153] Log analysis: Regularly analyze logs to detect abnormal behavior or potential security threats.

[0154] Monitoring strategy

[0155] Performance monitoring request processing time: Monitor the time it takes the security gateway to process requests to ensure it is within an acceptable range.

[0156] Throughput: Monitors the security gateway's throughput, which is the number of requests processed per second.

[0157] Resource usage: Monitor the CPU, memory and other resource usage of the security gateway to avoid performance degradation due to resource exhaustion.

[0158] Security monitoring abnormal behavior detection: Detect abnormal behavior through log analysis or other security tools, such as a large number of failed requests, requests from unknown IP addresses, etc.

[0159] Security incident notification: When a security incident is detected, the administrator is notified immediately so that timely measures can be taken.

[0160] Regular security assessments: Perform regular security assessments to check whether the security gateway has known vulnerabilities or security risks, and fix them in a timely manner.

[0161] By configuring appropriate security policies such as access control, encrypted transmission, and log auditing, combined with performance and security monitoring, the security of the AI ​​large language model security gateway during data transmission and storage can be ensured. At the same time, regular security assessments and repairs of known vulnerabilities are also important measures to maintain system security.

[0162] Step 5: Testing and verification: Before formal deployment, test and verify the security gateway;

[0163] Functional testing

[0164] Purpose: To verify that the security gateway performs all functions as expected.

[0165] Test content:

[0166] Access control: Test whether access control mechanisms such as IP whitelist, user authentication, and API keys are effective.

[0167] Encrypted transmission: Verify that HTTPS is configured correctly, that encrypted communication is successfully established, and that there are no security warnings or errors.

[0168] Log auditing: Ensure that request and response logs are recorded correctly and can be searched and analyzed.

[0169] Other specific functions: Test other specific functions or features based on the specific needs of the security gateway.

[0170] Performance Testing

[0171] Purpose: To verify the performance and capacity limitations of the security gateway when processing traffic.

[0172] Test content:

[0173] Throughput: Test the throughput of the security gateway under different loads to ensure that it can meet the expected processing capacity.

[0174] Latency: Measures the latency of requests as they pass through the security gateway to ensure that the impact on the user experience is within acceptable limits.

[0175] Resource usage: Monitor the usage of resources such as CPU, memory, and network bandwidth to identify potential performance bottlenecks or resource leaks.

[0176] Concurrent connections: Tests the performance of the security gateway when handling a large number of concurrent connections at the same time.

[0177] Safety Testing

[0178] Purpose: To verify whether the security gateway can resist potential security threats and attacks.

[0179] Test content:

[0180] Penetration testing: Simulates an external attacker's attempt to break into a security gateway to discover potential security holes or weaknesses.

[0181] Vulnerability scanning: Use automated tools to scan security gateways for known security vulnerabilities.

[0182] Denial of Service (DoS) attack testing: Simulates a denial of service attack to verify the resilience and recovery capabilities of the security gateway.

[0183] Security policy verification: Verify that configured security policies such as access control, encrypted transmission, and log auditing work as expected.

[0184] Compatibility Testing

[0185] Purpose: To verify the compatibility of the security gateway with existing systems and applications.

[0186] Test content:

[0187] Integration test with AI large language model: Verify whether the security gateway can seamlessly integrate with the AI ​​large language model and correctly forward and process requests.

[0188] Integration test with other systems: If the security gateway needs to be integrated with other systems (such as identity authentication system, monitoring system, etc.), test whether the communication and interaction between them are normal.

[0189] Reliability Test

[0190] Purpose: To verify the reliability and stability of the security gateway.

[0191] Test content:

[0192] Fault recovery test: simulate abnormal situations such as hardware failure and software crash to verify whether the security gateway can automatically recover or quickly restore service.

[0193] Redundancy test: If the security gateway is configured with redundant components or cluster deployment, test its redundant switching and load balancing capabilities.

[0194] Documentation and user support testing

[0195] Purpose: Ensure relevant documentation and user support resources are available and accurate.

[0196] Test content:

[0197] Verify that user manuals, installation guides, configuration documents, etc. are complete, accurate, and understandable.

[0198] Test the availability of user support channels (such as help desks, online forums, etc.) and verify their response times and quality of solutions.

[0199] By performing the above testing and verification steps, you can ensure that the security gateway has been fully verified and prepared before formal deployment, thereby reducing potential risks and problems. At the same time, these tests can also provide valuable reference information for subsequent maintenance and optimization;

[0200] Step 6: Deployment and operation: Deploy the security gateway to the production environment and monitor its operation status;

[0201] When deploying the security gateway to a production environment and monitoring its operation, you need to ensure that all large language models connected can be efficiently and securely called through the security gateway. The following is a clear overview of the deployment and operation steps:

[0202] Pre-deployment preparation

[0203] Confirm requirements: Identify the functional, performance, and security requirements that the security gateway needs to meet.

[0204] Environment preparation: Ensure that the production environment meets the hardware and software requirements for the operation of the security gateway, such as server, operating system, network, etc.

[0205] Backup strategy: Develop a data backup and recovery strategy just in case.

[0206] Deployment Process

[0207] Installation and configuration: Place the device at the appropriate location in the network according to the deployment plan of the security gateway.

[0208] Install the security gateway according to the installation guide and configure related network parameters, IP address, etc.

[0209] Configure security policies such as access control, encrypted transmission, and log auditing.

[0210] Integration and testing: Integrate the security gateway with the large language model to ensure smooth communication between them.

[0211] Perform functional testing, performance testing, and security testing to ensure that the security gateway works properly and meets all requirements.

[0212] Monitoring and operation

[0213] Monitoring strategy: Real-time monitoring of security gateway performance indicators such as throughput, latency, CPU and memory usage.

[0214] Monitor security events and logs to promptly detect and handle potential security threats.

[0215] Set up alerts and notifications so you can respond quickly when problems arise.

[0216] Optimization and adjustment: Based on monitoring data and analysis results, optimize and adjust the security gateway to improve its performance and security.

[0217] Update security policies regularly to address new security threats and vulnerabilities.

[0218] Backup and recovery: Regularly back up the configuration and data of the security gateway.

[0219] In the event of a failure or security incident, the operation of the security gateway can be quickly restored.

[0220] Safety assurance

[0221] Access control: Ensure that only authorized users and applications can access large language models.

[0222] Use mechanisms such as IP whitelisting, user authentication, and API keys for access control.

[0223] Encrypted transmission: Ensure that all communications with the large language model are encrypted via HTTPS.

[0224] Regularly check the validity of SSL / TLS certificates and renew expired certificates.

[0225] Log audit: Record all requests and responses passing through the security gateway.

[0226] Audit and analyze logs regularly to detect unusual behavior or potential security threats.

[0227] Maintenance and Updates

[0228] Regular maintenance: Regularly maintain and service the security gateway to ensure its stable operation.

[0229] Software Updates: Install software updates and patches for your security gateway promptly to fix potential security vulnerabilities and errors.

[0230] Precautions

[0231] Follow best security practices and standards during deployment and operation.

[0232] Regularly perform security assessments and vulnerability scans on security gateways.

[0233] Ensure that security gateway administrators have the appropriate security knowledge and skills.

[0234] By following the above steps and considerations, you can ensure that the security gateway operates efficiently and securely in a production environment and provides reliable protection for large language models.

[0235] Step 7: Maintenance and Update: Regularly maintain and update the security gateway to ensure that it always maintains the latest security performance and functions. This includes fixing known security vulnerabilities, updating security policies, etc.

[0236] Maintaining and updating security gateways is a key part of ensuring network security. It helps prevent potential security risks, improve performance, and respond to emerging network threats. Here are some suggestions on how to regularly maintain and update security gateways:

[0237] Establish a maintenance plan: Create a detailed maintenance plan that includes a schedule for regular inspections and updates.

[0238] Determine which team members will be involved in maintenance and update work, and assign responsibilities.

[0239] Back up the configuration files: Always back up the security gateway's configuration files before making any updates or modifications.

[0240] Make sure your backup files are stored safely so that they can be restored quickly if problems arise.

[0241] Update security policies: Regularly review and update security policies to reflect the latest threats and best practices.

[0242] Adjust access control lists, firewall rules, etc. based on business needs and security risk assessment.

[0243] Fix known security vulnerabilities: Regularly check security bulletins and vulnerability fix information released by security gateway vendors.

[0244] Apply patches and fixes promptly to prevent potential security vulnerabilities from being exploited.

[0245] Upgrade software versions: Pay attention to new versions and updates released by security gateway vendors.

[0246] Evaluate the functionality, performance, and security of new versions and decide whether to upgrade.

[0247] Before upgrading, make sure you understand the changes and potential impacts of the new version and test it in a non-production environment.

[0248] Monitoring and Log Analysis: Enables the monitoring and logging capabilities of the security gateway.

[0249] Regularly analyze log data to identify potential security incidents, unusual behavior, or configuration issues.

[0250] Use log analysis tools to automate the analysis and reporting process.

[0251] Performance optimization: Monitor security gateway performance metrics such as throughput, latency, and CPU / memory usage.

[0252] Adjust configuration parameters or hardware resources as needed to improve performance.

[0253] Use load balancing and redundancy techniques to improve system availability and reliability.

[0254] Training and knowledge update: Regular training is provided to team members responsible for maintaining and updating the security gateway.

[0255] Providing information and updates on emerging threats, best practices, and new technology trends.

[0256] Emergency Response Plan: Develop an emergency response plan to deal with possible security incidents and failures.

[0257] Determine emergency response procedures, responsible personnel and contact information.

[0258] Conduct emergency response drills regularly to ensure your team can respond to security incidents quickly and effectively.

[0259] Compliance Checking: Ensure that the configuration and operation of the security gateway meet compliance requirements based on industry standards and regulatory requirements.

[0260] Conduct regular compliance checks and take steps to address any non-compliance issues.

[0261] By regularly maintaining and updating your security gateway, you can ensure that your network always has the latest security features and capabilities to address evolving cyber threats.

[0262] Step 8: Optimization and expansion: Optimize and expand the security gateway according to actual needs and usage;

[0263] The optimization contents include:

[0264] Add more API interfaces

[0265] Define new API requirements: First, clarify business scenarios and user needs, and determine which API interfaces need to be added.

[0266] Design API interface: Design RESTful or SOAP style API interface, define clear request and response formats, parameters, error codes, etc.

[0267] Implement API interfaces: According to the design documents, implement the logical processing of these API interfaces at the gateway layer.

[0268] Testing and verification: fully test the newly implemented API interface to ensure its correct functionality, stable performance and high security.

[0269] Documentation: Write usage documentation for the API interface to facilitate developers and partners to quickly understand and use it.

[0270] Improve data processing capabilities

[0271] Hardware upgrade: Based on the load of the gateway, consider upgrading the server hardware, such as increasing the number of CPU cores, memory capacity, disk space, and network bandwidth.

[0272] Load balancing: Deploy multiple gateway instances and distribute requests to different instances through a load balancer to improve overall processing capabilities.

[0273] Asynchronous processing: For time-consuming data processing tasks, asynchronous processing can be used to avoid blocking the main thread and improve the system's response speed.

[0274] Optimize algorithm: Optimize data processing algorithms to reduce unnecessary calculations and resource consumption.

[0275] Use cache: For data that is frequently accessed and does not change much, you can use cache technology (such as Redis, Memcached, etc.) to reduce the number of database accesses and increase data processing speed.

[0276] Other possible optimization and expansion directions

[0277] Security enhancement: Strengthen the security protection capabilities of the gateway, such as adding firewall rules, intrusion detection and prevention system (IDS / IPS), Web application firewall (WAF), etc.

[0278] Log and monitoring: Improve the log recording and monitoring system, monitor the running status of the gateway in real time, and promptly discover and handle potential problems.

[0279] High availability: Improve the high availability of the gateway through active-standby switching, disaster recovery backup, etc., to ensure that services can be quickly restored when a system failure occurs.

[0280] Scalability: Well-designed architecture and module division facilitate subsequent expansion and upgrade of the gateway.

[0281] Multi-tenant support: Supports multi-tenancy, allowing different users or organizations to share resources while maintaining data isolation and security.

[0282] Custom rules: Allow users to customize access control rules, traffic restriction rules, etc. according to actual needs to meet the needs of different business scenarios.

[0283] Integrate third-party services: Integrate other security-related third-party services (such as anti-DDoS attack services, verification code services, etc.) to enhance the overall security capabilities of the gateway.

[0284] Support multiple protocols: In addition to HTTP / HTTPS protocols, it can also support other commonly used protocols (such as TCP, UDP, etc.) to meet different business needs.

[0285] Performance tuning: Regularly perform performance tuning on the gateway, including database query optimization, memory management optimization, thread pool configuration optimization, etc., to improve the overall performance of the system.

[0286] Continuous Integration and Continuous Deployment (CI / CD): Introduce automated testing and continuous integration tools (such as Jenkins) to automate code building, testing, and deployment, improving development efficiency and quality.

[0287] The present invention can better prevent network attacks: the security gateway can effectively prevent the insecurity factors of the external network from penetrating into the internal network of the enterprise or organization, thereby protecting the AI ​​large language model from potential network attacks, providing strong security protection for the AI ​​large language model, ensuring that the security gateway can operate efficiently and safely in the production environment, and providing reliable protection for the large language model, ensuring that the AI ​​large language model security gateway can correctly, safely and efficiently interact and communicate with the AI ​​large language model, configuring appropriate access control, encrypted transmission and log auditing and other security policies, and combining performance and security monitoring, can ensure the security of the AI ​​large language model security gateway during data transmission and storage. At the same time, regular security assessments and repairs of known vulnerabilities are also important measures to maintain system security. Through testing and verification steps, it can be ensured that the security gateway has been fully verified and prepared before formal deployment, thereby reducing potential risks and problems. At the same time, these tests can also provide valuable reference information for subsequent maintenance and optimization. By regularly maintaining and updating the security gateway, you can ensure that the network always maintains the latest security performance and functions to cope with ever-changing network threats, making the system more worthy of promotion and use.

[0288] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0289] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0290] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for managing a large AI language model security gateway, characterized in that: The following steps are involved: Step 1: Requirements determination and planning: Clarify requirements and goals before starting to manage the security gateway of AI large language models; Step 2: Select a security gateway: Select a security gateway that meets your current needs; Step 3: Configuration and integration: Configure according to the selected security gateway; Step 4: Security settings: configure security policies for the security gateway; Step 5: Testing and verification: Before formal deployment, test and verify the security gateway; Step 6: Deployment and operation: Deploy the security gateway to the production environment and monitor its operation status; Step 7: Maintenance and Update: Regularly maintain and update the security gateway; Step 8: Optimization and expansion: Optimize and expand the security gateway according to actual needs and usage; The specific process of selecting a security gateway is as follows: Extract the computing resources, storage resources, and network connection capabilities of the enterprise, import the computing resources, storage resources, and network connection capabilities of the enterprise into the model building library, and collect the functional requirements of the AI ​​large language model that is closest to the computing resources, storage resources, and network connection capabilities from the model building library as the preliminary selected model; Then, the technical capabilities of the standard team corresponding to the initially selected model are extracted and compared with the technical capabilities of the enterprise team to obtain the real-time similarity; When the real-time similarity is less than the preset value, the preliminary selected model is reselected; When the real-time similarity is greater than the preset value, the preliminary selected model is exported as the secondary selected model; Afterwards, the interface requirements, performance requirements, and security requirements of the secondary selected model are evaluated; When the similarity between the evaluation of interface requirements, performance requirements and security requirements in the secondary selection model and the evaluation of interface requirements, performance requirements and security requirements of the enterprise is greater than the preset value, the secondary selection model is exported as the final requirement; When the similarity between the interface requirements, performance requirements and security requirements in the secondary selection model and the interface requirements, performance requirements and security requirements of the enterprise is less than the preset value, the secondary selection model is re-performed until it meets the actual needs of the enterprise; The configuration process in the configuration and integration process is as follows: Basic settings: Set basic parameters according to the security gateway's documentation or guide. The security gateway supports specific configuration protocols. API interface settings: The security gateway needs to interact with the AI ​​large language model, so the corresponding API interface needs to be configured. According to the API documentation of the AI ​​large language model, the correct request URL, request header, and request body need to be set on the security gateway; Configure API authentication methods, including keys and OAuth; Key management: When the API interface uses key authentication, the key needs to be set and managed on the security gateway; Access permission setting: Configure the access permission of the security gateway as needed to ensure that only authorized users or systems can access the AI ​​large language model; Logging and monitoring: Configure the logging function of the security gateway to record all interaction information with the AI ​​large language model; Set monitoring alarms to send warnings to the administrator's preset receiving terminal when an abnormality or error occurs; The integration process in the configuration and integration process is as follows: Demand analysis: clarify the data format, transmission method, and interaction frequency requirements for the integration of the security gateway and the AI ​​large language model; Interface connection: Based on the results of demand analysis, the API interface of the security gateway is connected with the API interface of the AI ​​large language model to test the correctness and stability of the interface connection. If the test passes, the connection is allowed. Data transmission: configure the relevant parameters of data transmission; Error handling: During the integration process, it is necessary to consider the error situations that may occur and configure the corresponding error handling mechanism. When an error occurs, the security gateway can handle it correctly and give the corresponding error prompt.

2. According to claim 1, a method for managing a large AI language model security gateway is characterized in that: The specific process of demand determination and planning in step 1 is as follows: Clarify business needs and security goals: Clarify the business needs of the enterprise or organization, and at the same time, clarify the security goals; Assess existing resources and capabilities: Infrastructure assessment: Assess existing infrastructure, including computing resources, storage resources, and network connectivity capabilities; Technical capability assessment: Assess the technical capabilities of the team, including whether they have the expertise and skills to develop and maintain large language models and security gateways; Determine goals and application scenarios: Clear goals: clarify the application goals of the large language model, scenario planning: plan in which specific scenarios the large language model will be used; Determine the requirements for the security gateway and interface requirements: determine the required API interface type; Performance requirements: Determine the performance standards that the security gateway needs to meet based on business requirements and scenario planning; Security requirements: Clarify the security functions that the security gateway needs to implement.

3. According to claim 1, a method for managing a large AI language model security gateway is characterized in that: The specific process of testing the correctness and stability of interface docking is as follows: perform x consecutive interface docking tests in a short period of time and obtain x interface docking results, which include correct docking and docking errors; Extract the number of docking errors in the x-times interface docking results. When the number of docking errors is greater than the preset value, it means that the test fails. At the same time, after the correct docking, stability needs to be tested. When the number of times the stability is less than the preset amplitude is greater than the preset value, it means that the test fails.

4. According to claim 1, a method for managing a large AI language model security gateway is characterized in that: The specific process of the security setting is as follows: Access Control IP Whitelist: Configure the security gateway to accept requests only from predefined IP addresses or IP address ranges; User authentication: Implement user-level identity authentication and authorization to ensure that only authorized users can access the AI ​​large language model; API Key: Assign a unique API key to each user or application and verify that key with every request; Encrypted transmission HTTPS: Configure the security gateway to use the HTTPS protocol and protect the data transmission process through SSL / TLS encryption technology; Certificate management: Use valid SSL certificates and regularly update and check the validity of certificates; Log audit request log: records all requests passing through the security gateway, including the source IP address, timestamp, and request content of the request; Response log: records the response of the AI ​​large language model to the request; Log analysis: Regularly analyze logs to detect abnormal behavior or potential security threats; Monitoring strategy: Performance monitoring request processing time: monitor the time it takes for the security gateway to process requests to ensure that the time it takes for the security gateway to process requests is within the preset acceptable range; Throughput: Monitors the security gateway's throughput, which is the number of requests processed per second.

5. According to claim 1, a method for managing a large AI language model security gateway is characterized in that: The specific process of the test and verification is as follows: The test contents of the functional test are as follows: Access control: Test whether IP whitelist, user authentication and API key access control mechanisms are effective; Encrypted transmission: Verify that HTTPS is configured correctly, that encrypted communication is successfully established, and that there are no security warnings or errors; Log auditing: ensuring that request and response logs are recorded correctly and can be searched and analyzed; Performance test content: Throughput: Test the throughput of the security gateway under different loads; Latency: measures the delay time when a request passes through the security gateway; Resource usage: monitor the usage of CPU, memory, and network bandwidth resources; Concurrent connections: Test the performance of the security gateway when handling a large number of concurrent connections at the same time; Safety test content: Penetration testing: simulating external attackers trying to invade the security gateway; Vulnerability scanning: Use automated tools to scan security gateways to discover known security vulnerabilities; Denial of service attack testing: Simulates a denial of service attack to verify the resilience and recovery capabilities of the security gateway; Security policy verification: Verify that the configured access control, encrypted transmission, and log audit security policies work as expected; Compatibility test content: Integration test with AI large language model: Verify whether the security gateway can be seamlessly integrated with the AI ​​large language model and correctly forward and process requests; Integration test with other systems: The security gateway needs to be integrated with other systems to test whether the communication and interaction are normal; Reliability test contents: Fault recovery test: simulate hardware failure and software crash to verify whether the security gateway can automatically recover or quickly restore service; Redundancy test: When the security gateway is configured with redundant components or cluster deployment, test its redundant switching and load balancing capabilities.

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