Adaptive Policy Security System for Dynamic User Behavior
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Solution Overview
Problem
Current computer security systems are inadequate in dynamically adapting to user behavior, often resulting in either overly broad policies that block legitimate actions or failing to detect security threats in a timely manner.
Innovation Solution
An adaptive policy-based computer security method that monitors user behavior, triggers customized security policies based on specific actions, and adjusts policies by classifying actions as either security threats or false positives, implementing a tailored approach to block malicious activities while allowing legitimate ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If broad security policies are implemented to detect and prevent security violations, then security coverage is improved, but legitimate user actions are blocked
Solution Approach 1:
The patent segments broad security policies into multiple sub-policies, each addressing specific security concerns. Instead of applying a single broad policy that blocks all potentially suspicious actions, the system divides the policy space into targeted sub-policies that can be independently evaluated. This allows the system to maintain comprehensive security coverage while reducing false positives that block legitimate user actions.
Solution Approach 2:
The patent implements dynamic policy adaptation by monitoring user behavior over time and adjusting policy enforcement accordingly. The system transitions from static broad policies to dynamic sub-policies that adapt to individual user patterns. This dynamic approach allows the system to maintain high security coverage for malicious activities while automatically accommodating legitimate user behaviors that were previously blocked.
2Measurement precision
If monitoring and analysis of user behavior is performed to distinguish threats from false positives, then security precision is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex task of threat detection into multiple independent sub-policies, each focusing on specific behavioral patterns or security concerns. This segmentation allows the system to analyze user behavior through multiple specialized lenses rather than requiring a single complex analysis engine, thereby improving detection precision while managing system complexity through modular design.
Solution Approach 2:
The patent implements feedback mechanisms where user behavior is continuously monitored, analyzed, and used to refine policy enforcement decisions. The system collects data on user actions, evaluates them against sub-policies, and uses the results to improve future detection accuracy. This feedback loop enhances measurement precision by learning from actual user behavior patterns while maintaining manageable complexity through iterative refinement rather than requiring overly complex upfront analysis.
Data Source
AI summary
A method for implementing adaptive policy based computer security is described. In one embodiment, the method may include monitoring a behavior of a user on a computing device associated with the user, determining whether the user triggers one or more policy triggers associated with a broad policy or at least one sub-policy of the broad policy, or both, and upon determining the user triggers at least one policy trigger during the monitoring period, implementing a customized version of the broad policy on the computing device. In some cases, the method may include implementing the broad policy on the computing device upon determining the user does not trigger any of the one or more policy triggers. In other cases, the method may include triggering at least one of the policy triggers based at least in part on a requested action and determining whether the requested action includes a security threat.