Zero-Trust Security

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Zero-trust security treats every access request as untrusted until identity, device state, context, and permissions are checked, then limits access to what is needed. Common approaches include micro-segmentation, hardware attestation, continuous behavior-based anomaly detection, and policy checks at each tool or service invocation. Newer work applies these controls to AI agents and robots through task-aware authorization, formal verification, and enforcement at software and physical-action boundaries. A key challenge is combining adaptive, context-sensitive decisions with predictable deterministic safeguards, while showing that results from simulations and synthetic data hold in real deployments.

Latest papers

16 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement
Oct 5, 2026Shovan Roy, Lopamudra Praharaj, Maanak Gupta +1AI Agent Security Multi-Agent System Security
Department of Computer Science, Tennessee Tech University, Cookeville, TN, USA · Department of Computer Science, University of North Carolina Pembroke, Pembroke, NC, USA · Department of Computer Science, The University of Texas at Dallas, Richardson, Texas, USA
Zero-Trust Authorization and Discovery for Enterprise MCP
Sep 18, 2026Huan Li, Yuwei Wang, Srinivasan ManoharanMCP Security Tool Access Control for LLM Agents
PayPal Inc. USA
Practical Zero-Trust for Mission-Critical Robotic Fleets via Hardware Attestation and Packet Timing Watermarking
Sep 4, 2026Ryne Gonzales, Ethan Liesdyanto, Rex Worley +3Zero-Trust Security Network Intrusion Detection
Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX, USA · Global Cyber Research Institute (GCRI) · iSTAR Laboratory
Graph, Loop, and Harness Engineering for Zero-Trust Agentic Data Engineering and Analytical Processing
Aug 30, 2026Sagar Srinivas Sakhinana, Venkataramana RunkanaAgentic Workflows Runtime Enforcement for AI Agents
Tata Research Development and Design Centre
Explainable Adaptive Zero Trust Framework for AWS with Adversarial Robustness Evaluation
Aug 21, 2026Om Singh, Yagyaraj Pandey, Nandini PathakCybersecurity Zero-Trust Security
Department of Computer Science and Engineering, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India
VQC-ZTI: Variational Quantum Control for Zero Trust Protection of the Tactile Internet
Aug 19, 2026Mubassir Serneabat Sudipto, Shakil Ahmed, Ashfaq KhokharCybersecurity Zero-Trust Security
Iowa State University · Electrical and Computer Engineering, Iowa State University, Ames, Iowa, USA · Grand Valley State University +3
Rethinking Agent Security as a Networking Problem
Aug 12, 2026Van Tran, Taveesh Sharma, Tajveer Singh Dhesi +1Cybersecurity AI Agent Security
University of Chicago Chicago, United States
Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement Architecture
Aug 6, 2026Leo Sambrook, Sampo SovioMCP Security AI Agent Security
Hardware Systems Security Lab (HSSL) Huawei Technologies & EPITA Helsinki, Finland
Skillsets on the Chain: A Blockchain-based Zero-Trust Framework for Agentic AI Networking
Jul 31, 2026Yayu Gao, Yong Xiao, Hao Hu +5Cybersecurity AI Agent Security
School of Electronic Information and Communications, the Huazhong University of Science and Technology, Wuhan, China 430074 · Peng Cheng Laboratory, Shenzhen, China · Pazhou Laboratory (Huangpu), Guangzhou, China +4
Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics
Jul 24, 2026Ashly JosephNetwork Intrusion Detection Cybersecurity
When Agents Control Robots: A Zero Trust Policy Model for Agentic Cyber-Physical Systems
May 25, 2026Tharindu Ranathunga, Kavishka Fernando, Susan ReaRobotic Control Cyber-Physical Systems
Nimbus Centre, Munster Technological University, Cork, Ireland
Hybrid Inspection and Task-Based Access Control in Zero-Trust Agentic AI
May 4, 2026Majed El Helou, Benjamin Ryder, Chiara Troiani +3Cybersecurity LLM Agent Security
Cisco Systems, Switzerland
AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration
Apr 30, 2026Jinliang Xu, Runkai Zhu, Bingqi Li +3Multi-Agent Collaboration Multi-Agent Communication
China Academy of Information and Communications Technology, No.52, North Huayuan Road, Haidian District, Beijing 100191, China
From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems
Apr 28, 2026Ignacio PeyranoCybersecurity AI Agent Security
Universidad Austral Rosario, Argentina
Beyond Single-Agent Alignment: Preventing Context-Fragmented Violations in Multi-Agent Systems
Apr 24, 2026Jie Wu, Ming GongCybersecurity AI Agent Security Benchmarks
Atlassian
Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things
Apr 5, 2026Ali Akarma, Toqeer Ali Syed, Abdul Khadar Jilani +4Multi-Agent System Security Internet of Things
AI Center, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia · College of Computer Studies, University of Technology Bahrain, Sitra 18041, Bahrain · Faculty of Computer Studies, Arab Open University-Bahrain, Manama 32038, Bahrain +3

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

Shovan Roy, Lopamudra Praharaj, Maanak Gupta, Bhavani Thuraisingham

Department of Computer Science, Tennessee Tech University, Cookeville, TN, USA · Department of Computer Science, University of North Carolina Pembroke, Pembroke, NC, USA · Department of Computer Science, The University of Texas at Dallas, Richardson, Texas, USA

AI Agent Security Multi-Agent System Security Zero-Trust Security

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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 (Agentic-ZTA) that operationalizes the NIST SP 800-207 ZTA architecture control loop through coordinated multi- agent decision pipeline. In the proposed framework, policy knowledge is embedded into a retrieval-augmented generation pipeline and retrieved at inference time as top-k relevant policies. Access requests are intercepted by the Policy Enforcement Point (PEP), enriched with contextual metadata. The request context is routed to a policy engine agent which invokes domain-specialized core agents first followed by supporting agents, if further evaluation needed. AI agents reason over access context, policy constraints and determine trust. The retrieved policies are embedded into agent prompt during inference time and agentic trust scores are aggregated and evaluated by a trust-algorithm, producing the final access decision for enforcement under continuous verification. We implement Agentic-ZTA in a testbed and evaluate it on representative access-control use cases scenarios. Our Agentic-ZTA framework achieves 95.0% accuracy, 93.9% precision, and 96.3% recall, and demonstrate the feasibility of enforcing zero trust using AI agents.