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AI agents autonomously enforce Zero Trust principles in new architecture

By PulseAugur Editorial · [1 sources] ·

A new research paper introduces Agentic-ZTA, a multi-agent AI architecture designed to autonomously enforce Zero Trust principles. This framework operationalizes the NIST SP 800-207 ZTA control loop by using coordinated AI agents to evaluate access requests based on context, policy constraints, and trust scores. The system achieved high accuracy, precision, and recall in testbed evaluations, demonstrating the feasibility of AI-driven zero trust enforcement. AI

IMPACT This architecture could enhance cybersecurity by enabling autonomous and adaptive enforcement of zero trust policies.

RANK_REASON The cluster contains a research paper detailing a novel AI architecture. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents autonomously enforce Zero Trust principles in new architecture

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The cluster contains a research paper detailing a novel AI architecture. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Bhavani Thuraisingham ·

    Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement

    Agentic AI is emerging as a promising paradigm for automating complex cybersecurity decisions, yet its use in enforcing zero trust introduces significant challenges in safety, reliability, and policy compliance. This paper presents Agentic AI based zero trust architecture (Agenti…

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