Artificial intelligence information security monitoring method

Abstract

The invention relates to an artificial intelligence information security monitoring method, which belongs to the technical field of artificial intelligence, and comprises the following steps: S1, formulating a security policy: setting a clear security monitoring target and policy, determining a security responsibility subject and responsibility division, and formulating an emergency response plan and a recovery plan; s2, establishing a professional team: establishing an AI security team, establishing a team specially responsible for AI security work, and determining the responsibility of the team; according to the artificial intelligence information security monitoring method, through the AI technology, the content of the monitoring video can be analyzed in real time, the abnormal behavior can be automatically identified, and the alarm can be immediately triggered, so that the response speed and accuracy of the monitoring system are greatly improved, omission and false alarm of manual monitoring are reduced, accurate identification and tracking of the target object can be realized, and the user experience is improved. According to the technical scheme of the invention, the method can achieve the quick locking and continuous tracking of a human face, a vehicle or a specific object, provides powerful support for the subsequent safety investigation, and achieves the high monitoring efficiency and high monitoring accuracy.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an artificial intelligence information security monitoring method. Background Art

[0002] Artificial intelligence technology can use algorithms such as deep learning and machine learning to conduct in-depth mining and analysis of massive data, and automatically identify abnormal behavior and potential threats; through continuous learning and evolution, the AI ​​system can automatically adjust monitoring strategies, adapt to the ever-changing network environment, and improve the accuracy and effectiveness of monitoring; once a security threat is detected, the AI ​​system can immediately trigger an alarm and provide a detailed threat analysis report to help security personnel respond and handle it quickly.

[0003] Faced with massive amounts of network data, traditional manual analysis methods are unable to achieve comprehensive and timely monitoring, resulting in many potential security threats being ignored or delayed in processing; monitoring systems based on fixed rules are often unable to accurately identify new attack methods, resulting in frequent false alarms and increasing the burden on security personnel; with the continuous evolution of network attack technology, traditional monitoring systems are unable to quickly adapt to new security threats and cannot provide effective defense measures.

[0004] Traditional information security monitoring methods mainly rely on manual analysis, rule matching and other means, which have problems such as low efficiency, high false alarm rate, and difficulty in dealing with complex and changing security threats. Therefore, the introduction of artificial intelligence technology to improve the intelligence and automation level of information security monitoring has become an inevitable trend in the development of the industry.

[0005] Traditional information security monitoring methods can no longer meet the needs of the current complex and ever-changing network environment, and artificial intelligence technology, with its advantages of intelligence, adaptability, and efficient response, provides a new solution for information security monitoring. Therefore, developing an information security monitoring method based on artificial intelligence is of great significance for improving the security protection capabilities of cyberspace and ensuring the information security of individuals and enterprises. Summary of the invention

[0006] In view of the shortcomings of the existing technology, the present invention provides an artificial intelligence information security monitoring method, which has the advantages of high monitoring efficiency, high monitoring accuracy, strong analysis ability and strong security protection ability, and solves the problem that traditional information security monitoring methods can no longer meet the needs of the current complex and changeable network environment.

[0007] To achieve the above object, the present invention provides the following technical solution: an artificial intelligence information security monitoring method, comprising the following steps:

[0008] S1. Formulate security strategies: set clear security monitoring goals and policies, determine the security responsible parties and responsibilities, and formulate emergency response plans and recovery plans;

[0009] S2. Form a professional team: Establish an AI security team, form a team specifically responsible for AI security work, and clarify team responsibilities;

[0010] S3. Security awareness training: Regularly organize training and simulation drills for the AI ​​security team. Through simulated security incidents, employees can understand the emergency response process and improve their ability to respond to emergencies.

[0011] S4. Real-time monitoring and alarm: Select appropriate monitoring tools and technologies, set reasonable alarm thresholds, ensure that alarms are triggered in a timely manner when abnormal behaviors occur, provide a variety of alarm methods and channels, ensure that the security team can quickly receive alarm information, establish a feedback mechanism, allow users to participate in the alarm confirmation and processing process, and improve the accuracy and timeliness of alarms;

[0012] S5. Regular review and update: Check the effectiveness of monitoring tools and technologies, update security policies and operating procedures, improve existing security measures and introduce new protection measures;

[0013] S6. Use AI technology to improve monitoring capabilities: Use AI technology to conduct intelligent analysis of collected data to identify potential security threats and abnormal behaviors. When a security incident is detected, the AI ​​system can automatically trigger the emergency response process to reduce delays and errors in manual intervention. The AI ​​system can improve the accuracy and efficiency of monitoring by continuously learning and optimizing algorithms.

[0014] Furthermore, the security monitoring objectives in S1 include protecting data from illegal access, tampering or leakage, and ensuring the integrity and availability of the system.

[0015] Furthermore, the determination of the security responsible party and the division of responsibilities in S1 requires the clarification of the duties and authorities of each department and personnel in information security monitoring to ensure that responsibilities are assigned to individuals; the formulation of emergency response plans and recovery plans in S1 requires the formulation of detailed emergency response processes and recovery measures for possible security incidents to minimize losses.

[0016] Furthermore, the AI ​​security team in S2 should have rich security knowledge and practical experience; the clear team responsibilities in S2 include formulating and maintaining security policies, monitoring the security status of systems and networks, and assisting other departments in solving security problems.

[0017] Furthermore, the security awareness training in S3 needs to improve employees' awareness and attention to information security issues and enhance their security awareness and skills.

[0018] Furthermore, monitoring tools in S4 include intrusion detection system (IDS), intrusion prevention system (IPS) and security information and event management (SI EM), which collect and analyze system data in real time.

[0019] Furthermore, the alarm methods and channels in S4 include email, SMS and push notification.

[0020] Furthermore, the effectiveness of the inspection monitoring tools and techniques in S5 requires regular evaluation of the performance and effectiveness of the monitoring tools to ensure that they can meet the needs of security monitoring.

[0021] Furthermore, the updating of security policies and operating procedures in S5 requires regular updating of security policies and operating procedures to ensure that they are consistent with the actual situation.

[0022] Furthermore, the improvement of existing security measures and the introduction of new protection measures in S5 need to continuously improve existing security measures and introduce new protection technologies based on the results of security audits and vulnerability scans.

[0023] Compared with the prior art, the present invention provides an artificial intelligence information security monitoring method, which has the following beneficial effects:

[0024] 1. This artificial intelligence information security monitoring method can analyze the monitoring video content in real time, automatically identify abnormal behavior, and immediately trigger an alarm through AI technology, which greatly improves the response speed and accuracy of the monitoring system, reduces omissions and false alarms in manual monitoring, and can achieve accurate identification and tracking of target objects, whether it is a face, a vehicle or a specific object, and can achieve rapid locking and continuous tracking, providing strong support for subsequent security investigations, achieving the advantages of high monitoring efficiency and high monitoring accuracy.

[0025] 2. This artificial intelligence information security monitoring method, AI technology can efficiently process massive monitoring data, discover hidden patterns and associations through data mining and machine learning algorithms, provide a scientific basis for decision-making, and help security departments deploy in advance and take preventive measures by analyzing historical data and real-time monitoring information to effectively curb the occurrence of security accidents. It has the advantages of strong analytical ability and strong security protection ability, and solves the problem that traditional information security monitoring methods can no longer meet the needs of the current complex and changeable network environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 The present invention is a flowchart of an artificial intelligence information security monitoring method. DETAILED DESCRIPTION

[0027] The following will be combined with the embodiments of the present invention and the accompanying drawings to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] See also Figure 1 , an artificial intelligence information security monitoring method in this embodiment includes the following steps:

[0029] S1. Formulate security strategies: set clear security monitoring goals and policies, determine the security responsible parties and responsibilities, and formulate emergency response plans and recovery plans;

[0030] S2. Form a professional team: Establish an AI security team, form a team specifically responsible for AI security work, and clarify team responsibilities;

[0031] S3. Security awareness training: Regularly organize training and simulation drills for the AI ​​security team. Through simulated security incidents, employees can understand the emergency response process and improve their ability to respond to emergencies.

[0032] S4. Real-time monitoring and alarm: Select appropriate monitoring tools and technologies, set reasonable alarm thresholds, ensure that alarms are triggered in a timely manner when abnormal behaviors occur, provide a variety of alarm methods and channels, ensure that the security team can quickly receive alarm information, establish a feedback mechanism, allow users to participate in the alarm confirmation and processing process, and improve the accuracy and timeliness of alarms;

[0033] S5. Regular review and update: Check the effectiveness of monitoring tools and technologies, update security policies and operating procedures, improve existing security measures and introduce new protection measures;

[0034] S6. Use AI technology to improve monitoring capabilities: Use AI technology to conduct intelligent analysis of collected data to identify potential security threats and abnormal behaviors. When a security incident is detected, the AI ​​system can automatically trigger the emergency response process to reduce delays and errors in manual intervention. The AI ​​system can improve the accuracy and efficiency of monitoring by continuously learning and optimizing algorithms.

[0035] In this embodiment, AI technology can be used to analyze surveillance video content in real time, automatically identify abnormal behavior, and immediately trigger an alarm, greatly improving the response speed and accuracy of the monitoring system, reducing omissions and false alarms in manual monitoring, and can achieve accurate identification and tracking of target objects, whether faces, vehicles or specific objects, to achieve rapid locking and continuous tracking, providing strong support for subsequent security investigations. AI technology can efficiently process massive surveillance data, discover hidden patterns and associations through data mining and machine learning algorithms, provide a scientific basis for decision-making, and help security departments deploy in advance and take preventive measures by analyzing historical data and real-time monitoring information to effectively curb the occurrence of safety accidents.

[0036] Specifically, the security monitoring objectives in S1 include protecting data from illegal access, tampering or leakage, and ensuring the integrity and availability of the system.

[0037] Specifically, the AI ​​security team in S2 should have rich security knowledge and practical experience; the clear team responsibilities in S2 include formulating and maintaining security policies, monitoring the security status of systems and networks, and assisting other departments in solving security problems.

[0038] Specifically, the security awareness training in S3 needs to improve employees' understanding and attention to information security issues and enhance their security awareness and skills.

[0039] Specifically, the monitoring tools in S4 include intrusion detection system (IDS), intrusion prevention system (IPS) and security information and event management (SIEM). The monitoring tools collect and analyze system data in real time. The alarm methods and channels in S4 include email, SMS and push notification.

[0040] Specifically, the effectiveness of checking monitoring tools and technologies in S5 requires regular evaluation of the performance and effectiveness of monitoring tools to ensure that they can meet the needs of security monitoring. The updating of security policies and operating procedures in S5 requires regular updating of security policies and operating procedures to ensure that they are consistent with the actual situation. The improvement of existing security measures and the introduction of new protective measures in S5 require continuous improvement of existing security measures and introduction of new protective technologies based on the results of security audits and vulnerability scans.

[0041] The beneficial effects of the present invention are:

[0042] This artificial intelligence information security monitoring method, through AI technology, can analyze monitoring video content in real time, automatically identify abnormal behavior, and immediately trigger an alarm, greatly improving the response speed and accuracy of the monitoring system, reducing omissions and false alarms in manual monitoring, and can achieve accurate identification and tracking of target objects, whether it is a face, a vehicle or a specific object, it can achieve rapid locking and continuous tracking, providing strong support for subsequent security investigations, and achieving the advantages of high monitoring efficiency and high monitoring accuracy.

[0043] This artificial intelligence information security monitoring method, AI technology can efficiently process massive monitoring data, discover hidden patterns and associations through data mining and machine learning algorithms, provide a scientific basis for decision-making, and help security departments deploy in advance and take preventive measures by analyzing historical data and real-time monitoring information to effectively curb the occurrence of security accidents. It has the advantages of strong analytical capabilities and strong security protection capabilities, and solves the problem that traditional information security monitoring methods can no longer meet the needs of the current complex and changeable network environment.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An artificial intelligence information security monitoring method, characterized in that: The following steps are involved: S1. Formulate security strategies: set clear security monitoring goals and policies, determine the security responsible parties and responsibilities, and formulate emergency response plans and recovery plans; S2. Form a professional team: Establish an AI security team, form a team specifically responsible for AI security work, and clarify team responsibilities; S3. Security awareness training: Regularly organize training and simulation drills for the AI ​​security team. Through simulated security incidents, employees can understand the emergency response process and improve their ability to respond to emergencies. S4. Real-time monitoring and alarm: Select appropriate monitoring tools and technologies, set reasonable alarm thresholds, ensure that alarms are triggered in a timely manner when abnormal behaviors occur, provide a variety of alarm methods and channels, ensure that the security team can quickly receive alarm information, establish a feedback mechanism, allow users to participate in the alarm confirmation and processing process, and improve the accuracy and timeliness of alarms; S5. Regular review and update: Check the effectiveness of monitoring tools and technologies, update security policies and operating procedures, improve existing security measures and introduce new protection measures; S6. Use AI technology to improve monitoring capabilities: Use AI technology to conduct intelligent analysis of collected data to identify potential security threats and abnormal behaviors. When a security incident is detected, the AI ​​system can automatically trigger the emergency response process to reduce delays and errors in manual intervention. The AI ​​system can improve the accuracy and efficiency of monitoring by continuously learning and optimizing algorithms.

2. The information security monitoring method of artificial intelligence according to claim 1 is characterized by: The security monitoring objectives in S1 include protecting data from illegal access, tampering or leakage, and ensuring the integrity and availability of the system.

3. The information security monitoring method of artificial intelligence according to claim 1 is characterized in that: The determination of the security responsible party and the division of responsibilities in S1 requires clarifying the duties and authorities of each department and personnel in information security monitoring to ensure that responsibilities are assigned to individuals; the formulation of emergency response plans and recovery plans in S1 requires the formulation of detailed emergency response processes and recovery measures for possible security incidents to minimize losses.

4. The information security monitoring method of artificial intelligence according to claim 1 is characterized in that: The AI ​​security team in S2 should have rich security knowledge and practical experience; the clear team responsibilities in S2 include formulating and maintaining security policies, monitoring the security status of systems and networks, and assisting other departments in solving security problems.

5. The information security monitoring method of artificial intelligence according to claim 1 is characterized in that: The security awareness training in S3 needs to improve employees' awareness and attention to information security issues and enhance their security awareness and skills.

6. The information security monitoring method of artificial intelligence according to claim 1 is characterized in that: The monitoring tools in S4 include intrusion detection system (IDS), intrusion prevention system (IPS) and security information and event management (SIEM), which collect and analyze system data in real time.

7. The information security monitoring method of artificial intelligence according to claim 1 is characterized by: The alarm methods and channels in S4 include email, SMS and push notification.

8. The information security monitoring method of artificial intelligence according to claim 1 is characterized by: The effectiveness of the monitoring tools and techniques in S5 requires regular evaluation of the performance and effectiveness of the monitoring tools to ensure that they can meet the needs of security monitoring.

9. The information security monitoring method of artificial intelligence according to claim 1 is characterized in that: The updating of security policies and operating procedures in S5 requires regular updating of security policies and operating procedures to ensure that they are consistent with the actual situation.

10. The information security monitoring method of artificial intelligence according to claim 1 is characterized in that: The improvement of existing security measures and introduction of new protection measures in S5 need to continuously improve existing security measures and introduce new protection technologies based on the results of security audits and vulnerability scans.

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