RAGe Against the Machine: AI-Powered Compliance and Cybersecurity

As organizations grapple with increasingly complex regulatory environments and evolving cyber threats, the integration of AI has become a game-changer. This session will explore how Retrieval-Augmented Generation (RAG) can revolutionize compliance, regulation gap analysis, and cybersecurity operations. Attendees will gain insights into real-world use cases, technical implementations, and lessons learned from deploying AI-driven compliance solutions at scale. We'll showcase practical demonstrations, discuss best practices, and provide actionable strategies for leveraging AI to stay ahead of compliance challenges. Whether you're a developer, security professional, or compliance officer, this session will equip you with the knowledge and tools to harness AI for regulatory excellence and cyber resilience.

RAGe Against the Machine

In an era where cyber threats are growing in volume and complexity, Security Operations Centers (SOCs) struggle to keep up with alert fatigue and the need for rapid threat prioritization. Retrieval-Augmented Generation (RAG) models offer a revolutionary approach by merging AI-driven data retrieval with real-time threat intelligence, enabling security teams to make informed decisions faster.

This session will demonstrate how RAG models can be integrated into SOC workflows to enhance threat detection, optimize response times, and streamline Governance, Risk, and Compliance (GRC) tasks. Using frameworks like MITRE ATT&CK, we will showcase how RAG automates the process of mapping security incidents to adversary tactics, techniques, and procedures (TTPs). Attendees will gain insights into real-world use cases, including how RAG models have improved SOC efficiency, reduced operational burdens, and empowered teams with actionable, AI-driven insights.

The presentation will include a live demo, showing RAG in action within a simulated SOC environment, and will cover both the technical implementation and the practical outcomes. This session is designed for cybersecurity professionals looking to harness AI to improve their incident response capabilities and operational resilience.

RAG Against the Machine

This session delves into the cutting-edge integration of Retrieval-Augmented Generation (RAG) within cybersecurity frameworks. It offers a comprehensive look into how RAG enhances real-time threat intelligence, improves vulnerability assessments, and drives forward-thinking cybersecurity strategies. Attendees will gain insights into how RAG's neural network configurations and adaptive Gen AI mechanisms empower professionals to anticipate and mitigate threats more effectively.
The presentation will also feature case studies from large enterprises and government entities, showcasing RAG's application in real-world scenarios, including phishing detection, insecure code evaluation, and security policy enforcement. The session will conclude with a discussion on the future trajectory of AI-powered risk intelligence in cybersecurity.

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