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Presentation

Track: Next Generation Emergency Communications
The Cognitive Security Fabric: Engineering High-Reliability Autonomous Defense with LLM-Powered Agentic Systems
The reliability of contemporary cybersecurity architectures is fundamentally challenged by their reactive nature and fragmented, tool-centric design. This presentation introduces the Cognitive Security Fabric, a novel architectural paradigm engineered to deliver a step-change in the quality, reliability, and efficacy of enterprise defense. Our framework synergizes the semantic intelligence of Large Language Models (LLMs) with the dynamic, goal-oriented execution of autonomous Agentic systems.

This convergence creates a self-orchestrating defense system where:

LLMs perform continuous, high-level reasoning—synthesizing global threat intelligence, modeling emergent attack vectors, and formulating strategic response plans.

Autonomous Agents operate as tactical executors across the digital estate (from cloud to the 5G/6G edge), translating strategic goals into localized, adaptive security actions without predefined playbooks.

This approach transforms security from a collection of disparate tools into a unified, intelligent, and resilient organism. We argue that this is the definitive method to ensure high-quality threat detection (context-aware, low noise) and high-reliability response (repeatable, scalable, and immune to human fatigue). Our work validates that this shift from automation to true autonomy is essential for securing the complex, high-stakes digital infrastructures of the future.
  • Taha Sajid - Speaker
Presentation Video
Presentation Notes
Sajid_Cognitive-Security-Fabric.pptx

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