Autonomous Intelligent Cyber-defense Agent (AICA) Reference Architecture. Release 2.0
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Abstract (arXiv)
This report - a major revision of its previous release - describes a reference architecture for intelligent software agents performing active, largely autonomous cyber-defense actions on military networks of computing and communicating devices. The report is produced by the North Atlantic Treaty Organization (NATO) Research Task Group (RTG) IST-152 "Intelligent Autonomous Agents for Cyber Defense and Resilience". In a conflict with a technically sophisticated adversary, NATO military tactical networks will operate in a heavily contested battlefield. Enemy software cyber agents - malware - will infiltrate friendly networks and attack friendly command, control, communications, computers, intelligence, surveillance, and reconnaissance and computerized weapon systems. To fight them, NATO needs artificial cyber hunters - intelligent, autonomous, mobile agents specialized in active cyber defense. With this in mind, in 2016, NATO initiated RTG IST-152. Its objective has been to help accelerate the development and transition to practice of such software agents by producing a reference architecture and technical roadmap. This report presents the concept and architecture of an Autonomous Intelligent Cyber-defense Agent (AICA). We describe the rationale of the AICA concept, explain the methodology and purpose that drive the definition of the AICA Reference Architecture, and review some of the main features and challenges of AICAs.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Mar 2018.
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Citing papers per year: 2022: 1; 2023: 3; 2024: 1; 2025: 2; 2026: 1.
8 papers.
- 2023Automated Cyber Defence: A Reviewcited by 21
- 2023Deep Reinforcement Learning for Autonomous Cyber Defence: A Surveycited by 7
- 2026Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learningcited by 3
- 2022Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)cited by 1
- 2024IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defensecited by 1
- 2025Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applicationscited by 1
- 2023REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Responsecited by 0
- 2025A cybersecurity AI agent selection and decision support frameworkcited by 0
- 2026Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning6 Apr 2026
- 2025A cybersecurity AI agent selection and decision support framework2 Oct 2025
- 2025Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications26 May 2025
- 2024IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense23 Nov 2024
- 2023Deep Reinforcement Learning for Autonomous Cyber Defence: A Survey11 Oct 2023
- 2023REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response23 May 2023
- 2023Automated Cyber Defence: A Review8 Mar 2023
- 2022Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)26 Jan 2022