How to Ground AI SOC Decisions in Context
A Fireside Chat on the Next Phase of the AI SOC
Wednesday, June 24 | 10am ET
AI Agents in the SOC are only as good as the context they reason on.
Most platforms rebuild that context from scratch for every alert — leaving agents to guess why a medium-severity alert is critical for one user and trivial for another. The next phase of the AI SOC runs on something different: a live, grounded model of the environment that AI Agents can reason on continuously.
Join Rick Bosworth, Sr. Director of Product Marketing at Torq, and David Melamed, Head of Emerging Technologies at Torq and Jit co-founder, for a fireside chat on why context is the foundation of agentic AI and what changes for security operations.
What you’ll learn:
- The five dimensions of context — temporal, provenance, semantic, governance, and decision trace — and why each one matters for grounded AI Agent reasoning
- What the Jit acquisition accelerates on the Torq AI SOC Platform roadmap, and how a live Security Context Graph operates in production today
- A real-world use case where grounded context changes the outcome
How Context Powers the Torq AI SOC Platform
David Melamed
Head of Emerging Technologies, Torq
Co-Founder, Jit
Rick Bosworth
Senior Director of Product Marketing, Torq
Inside the Acquisition
Get the full story from Torq Co-Founder and CTO Leonid Belkind and Jit Co-Founder David Melamed on why Torq acquired Jit, what the Torq Context Graph unlocks for the AI SOC, and what’s next for the platform.