An AI zero trust adaptive access control system suitable for sensitive data access

By constructing dynamic behavioral baselines and real-time trust scores, and dynamically adjusting access control thresholds in conjunction with threat intelligence and business importance, the AI-based zero-trust adaptive access control system solves the problem of static and fixed access control policies in existing technologies, achieving efficient security and business continuity for sensitive data access.

CN122247725APending Publication Date: 2026-06-19BEIJING XINDA WANGAN INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING XINDA WANGAN INFORMATION TECH CO LTD
Filing Date
2026-04-09
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In existing technologies, access control policies are static and fixed, lacking real-time risk assessment and dynamic adaptive adjustment capabilities, making it difficult to balance security and business continuity in sensitive data access scenarios.

Method used

The AI-based zero-trust adaptive access control system collects user access data through a data acquisition module, builds a dynamic behavior baseline through a user behavior analysis module, evaluates user credibility in real time through a trust score calculation module, adjusts thresholds based on threat intelligence and business importance through a dynamic threshold adjustment module, makes multi-level decisions through an access control decision module, and performs forward-looking defense and strategy optimization through an intelligent decision and adaptive response module, forming a closed-loop self-evolution mechanism.

Benefits of technology

Significantly reduces false alarm and false negative rates, improves the accuracy and adaptability of sensitive data access control, enables automated evolution of security policies, and effectively prevents internal threats and data breach risks.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the field of adaptive access control systems and discloses an AI zero-trust adaptive access control system suitable for sensitive data access, comprising a data acquisition module, a user behavior analysis module, a trust score calculation module, a dynamic threshold adjustment module, an access control decision module, an intelligent prediction and strategy optimization module, an adaptive response execution module, and an audit and feedback module. This AI zero-trust adaptive access control system for sensitive data access automatically generates and continuously optimizes access control strategies in shadow mode using reinforcement learning algorithms; finally, it feeds back to each AI model through end-to-end audit logs, forming a closed-loop self-evolution mechanism. Therefore, this invention can significantly reduce false alarm and false negative rates, improve the accuracy and adaptability of sensitive data access control, and achieve automated evolution of security strategies, effectively preventing internal threats and data leakage risks.
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