Context Intelligence + AI Orchestration: The Fuel & Engine to Power the Self-Protecting SDLC
AI has overwhelmed legacy security approaches. While many talk about AI as a simple “chat interface,” the real revolution in security is happening through autonomous agents that can sense, reason, and act. In an era of zero-days and supply chain attacks, “human-speed” response is no longer an option.
Join James Berthoty and Cycode to explore the transition from AI chats that merely answer questions to agentic security platforms that orchestrate and execute actions. We will demonstrate how to pair a Context Intelligence Graph, the “fuel” that explains why security decisions are made, with AI Agent Orchestration, the “engine” for how actions are executed, to power a self-protecting SDLC.
In this session, we’ll dive into:
- Agentic Intelligence: Using AI to instantly identify shadow AI, pinpoint risky dependencies, and provide real-time security answers.
- Automated Triage: Prioritizing and remediating exploitable risks based on business context and risk scores.
- Connective Agency: Maintaining visibility and documentation of decisions as AI agents assume autonomy in the development lifecycle.
- The Self-protecting SDLC: Moving from basic AI assistance to a fully orchestrated, autonomous security engine.
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