Session Monitor Revocation for Active Directory Lateral Movement
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Solution Overview
Problem
Current systems lack a comprehensive preventative solution for protecting Active Directory from lateral movement attacks, failing to enforce the principle of 'least privilege' and leaving enterprise networks vulnerable to compromise.
Innovation Solution
A system using local session monitors and a directed computational graph module to monitor and log user sessions, detect illicit activities, and revoke credentials in real-time, creating a cyber-physical graph to map attack paths and remove compromised network components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If indirect approaches of securing access points and responding after attacks are used, then network security response capability is improved, but network security vulnerability remains high
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and logging user sessions and host relationships before attacks occur. It builds attack path maps and identifies high-risk hosts in advance, enabling preventive security measures rather than reactive responses. The session monitor validates authentication sessions against expected patterns proactively, revoking credentials before lateral movement can occur.
Solution Approach 2:
The system implements continuous feedback loops where session monitors validate authentication sessions, graph engines analyze attack paths, and the system dynamically adjusts security measures. Event logs are continuously generated and analyzed, creating a feedback mechanism that improves network security posture over time while enabling real-time detection and prevention of lateral movement attacks.
2Measurement precision
If comprehensive session monitoring and validation is implemented, then detection precision of illicit sessions is improved, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into specialized components: session monitors for collecting authentication data, graph engines for analyzing attack paths, and credential validation modules for comparing sessions against expected patterns. Each component has a specific function, reducing overall system complexity while maintaining high detection precision through specialized processing.
Solution Approach 2:
The system introduces intermediaries such as session monitors that act as mediators between authentication systems and security analysis tools. These intermediaries collect, validate, and normalize session data before passing it to graph engines for attack path analysis, simplifying the integration between different security components while maintaining comprehensive monitoring capability.
3Reliability
If real-time credential revocation is implemented, then network security is improved, but authentication session stability deteriorates
Solution Approach 1:
Credential revocation is applied locally and selectively rather than globally. The system revokes credentials only for specific sessions identified as illicit through pattern mismatch or high-risk host involvement, while maintaining stability of legitimate authentication sessions. This localized approach preserves overall session stability while achieving real-time security improvements.
Solution Approach 2:
The system implements dynamic credential validation where authentication session stability is maintained through continuous monitoring and adaptive response. Session monitors dynamically validate sessions against expected patterns, and credentials are revoked only when illicit activity is detected, creating a dynamic security system that adapts to threats while maintaining stability for legitimate users.
Data Source
AI summary
A system and method for the dynamic authentication revocation using privilege assurance of enterprise computer network environments using lateral movement detection and prevention. The system uses local session monitors to monitor logon sessions within a network, generating and verifying event logs and authentication records to ensure the legitimacy of authenticated user sessions and to revoke credentials when an illicit session is detected and further removing potentially compromised network components from the network, halting lateral movement in real-time.