Dynamic Security Policy Gap Detection for Enterprise Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Enterprise networks face challenges in maintaining granular security policies due to the dynamic nature of modern networks, where new applications and devices are frequently deployed, making it impractical for administrators to preemptively add resources to the security policy, leading to gaps that can expose enterprise data to unauthorized access.
Innovation Solution
A system that identifies resources not covered by the existing security policy and generates notifications for administrators to update permissions reactively, allowing known applications to access or disclose data only when explicitly permitted, and using trusted delivery mechanisms to determine access for unfamiliar applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators preemptively add all possible resources to security policy, then security coverage is improved, but policy complexity and administrative burden increase significantly
Solution Approach 1:
The system performs preliminary actions by proactively discovering new applications and resources before they are actively used, and pre-configuring security policies for them. This eliminates the need for administrators to manually preemptively add all possible resources, as the system automatically prepares security configurations in advance through automated discovery and policy generation.
Solution Approach 2:
The system enables self-service by automatically discovering new applications, resources, and network locations without administrator intervention. The security policy system autonomously identifies gaps, generates appropriate policies, and updates configurations, freeing administrators from the burden of manually managing complex security policies for every new resource.
2Reliability
If administrators manually update security policies frequently, then security policy currency is improved, but productivity and time consumption worsen
Solution Approach 1:
The system implements continuous feedback loops by monitoring application usage, resource access attempts, and security events in real-time. When new applications are detected or access patterns change, the system automatically feeds this information back into the policy management process, triggering automated policy updates without requiring administrator intervention, thus maintaining currency while preserving productivity.
Solution Approach 2:
The system performs preliminary policy updates automatically when new resources are discovered, rather than waiting for administrators to manually update policies. By proactively generating and applying security policies for new applications and resources before they become security risks, the system maintains policy currency without consuming administrator time.
3Measurement precision
If security policies are highly granular at individual device and application level, then security precision is improved, but policy management complexity increases
Solution Approach 1:
The system enables self-service by automatically generating granular security policies for individual applications and devices based on their specific characteristics and access requirements. Rather than requiring administrators to manually configure detailed policies for each resource, the system autonomously analyzes resource properties, determines appropriate permission levels, and configures granular policies automatically, maintaining security precision while reducing management complexity.
4Productivity
If new applications are deployed quickly without security policy updates, then deployment speed is improved, but security risk increases
Solution Approach 1:
The system performs preliminary security preparations by automatically discovering new applications as they are deployed and pre-configuring appropriate security policies before the applications access enterprise resources. This preliminary action ensures that deployment speed is maintained while security risks are eliminated, as security policies are already in place when new applications attempt to access data.
Solution Approach 2:
The system implements real-time feedback monitoring of application deployment and usage patterns. When new applications are detected through automated monitoring, the system immediately triggers policy generation and update processes, ensuring that security policies are current and appropriate without delaying deployment. The continuous feedback loop maintains security while enabling rapid deployment.
Data Source
AI summary
A system may identify resources such as applications or network locations that are not adequately covered by an enterprise's security policy to notify a network administrator of such deficiencies. An exemplary security policy may allow or deny access to individual functional resources (e.g. computing devices and/or applications) or groups of functional resources to individual data resources (e.g. enterprise network storage locations and/or enterprise data) or groups of data resources. The system may monitor enterprise network activity to identify when a security policy fails to define permissions corresponding to the use of particular resources. In response to identifying such gaps in the security policy, the system may enter policy enforcement event information into a policy learning log. The system may further generate a policy gap notification and transmit this notification to a policy management service to prompt a network administrator to take remedial action if appropriate.