Multi-Agent Security Policy Enforcement for Information Flow Control
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Solution Overview
Problem
Multi-agent systems face security challenges due to the difficulty in managing and monitoring the security status of multiple agents, leading to potential leaks of sensitive information when agents with different security levels interact.
Innovation Solution
A method, apparatus, and computer program that establish an execution plan for multi-agent systems, controlling access and input/output through a policy enforcement point, and determining security policies based on agent security levels to protect sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security techniques for single agents are applied to multi-agent systems, then implementation simplicity is maintained, but security management effectiveness deteriorates due to inability to address information flow and access control among multiple agents
Solution Approach 1:
The patent segments the multi-agent system into distinct components: policy decision points (PDP) that determine security policies, policy enforcement points (PEP) that execute security controls, and information flow paths between agents. This segmentation allows systematic security management by addressing each component's specific security requirements rather than treating the entire system as a monolith.
Solution Approach 2:
The patent introduces policy decision points and policy enforcement points as intermediary components between agents. These intermediaries mediate information flow and access control requests, evaluating security policies and enforcing appropriate controls. This intermediary layer enables centralized security management without requiring direct security handling by each agent.
2Adaptability or versatility
If agents with different security levels interact freely, then system functionality and adaptability are improved, but information leakage risk increases when sensitive information flows from high-security to low-security agents
Solution Approach 1:
The patent applies local quality by assigning different security levels to different agents and information flows. Security policies are customized according to the specific security requirements of each agent and each information flow path. The policy decision points evaluate security levels locally at each interaction point, allowing flexible agent interactions while maintaining appropriate security controls for each specific case.
Solution Approach 2:
The patent changes security parameters dynamically based on the security levels of interacting agents. When information flows from a high-security agent to a low-security agent, the system detects the parameter change in security level and applies corresponding security controls, such as filtering sensitive information or blocking the flow. This parameter-based approach maintains adaptability while preventing information leakage.
3Stability of the object's composition
If centralized policy management is implemented across multi-agent systems, then security policy consistency is improved, but system complexity and monitoring difficulty increase
Solution Approach 1:
The patent implements a universal policy management architecture where policy decision points and policy enforcement points serve multiple functions across different agents and information flows. The same PDP-PEP framework is applied universally to all security decisions in the system, providing consistent security policy enforcement while avoiding the need for separate management mechanisms for each agent or interaction type.
Data Source
AI summary
Proposed are a method, an apparatus, a system, and a computer program for security processing of a multi-agent system. More specifically, the present disclosure discloses a method for managing security for a multi-agent system by using a computing apparatus. The method includes establishing an execution plan comprising a plurality of agents to perform a request of a user on the basis of the request, executing one or more agents among the plurality of agents according to the execution plan, and providing a response to the request of the user on the basis of an execution result of the one or more agents among the plurality of agents, wherein access to or input/output of the one or more agents is controlled through a policy enforcement point that enforces a security policy for the one or more agents among the plurality of agents.