From Automation to Autonomous Defense
AI is reshaping cybersecurity. The arrival of Agentic AI marks a fundamental shift from reactive automation to proactive, autonomous defense. Unlike traditional systems bound to human oversight and rigid workflows, agentic systems perceive, reason, decide, and act independently in dynamic threat environments.
As threats grow more sophisticated, defenders need security operating at machine speed. Intelligent cyber agents continuously monitor networks, surface emerging risks, investigate incidents, coordinate responses, and adapt strategies in real time — often before human analysts can intervene.
This DICTA 2026 Special Session and Half-Day Workshop, organized with Technology Control Company (TCC), covers foundations, architectures, real-world use cases, adversarial robustness, and governance for trustworthy autonomous security operations.
Research tracks
- Agentic AI Architectures & Multi-Agent Systems
- LLM-Driven Threat Detection & Triage
- Autonomous Incident Response & SOAR
- AI for Vulnerability Discovery & Patch Reasoning
- Adversarial ML & Agent Robustness
- Deepfake & Synthetic Media Forensics
- Cyber Threat Intelligence with LLMs & RAG
- Governance, Alignment & Trust in Autonomous Defense
- Human-in-the-Loop vs. Human-on-the-Loop Operations
- Red-Team / Blue-Team Agents & Cyber Range Simulation