In this episode, Grant Oviatt, vp of product and co-founder at Prophet Security, explains how his platform deploys AI agents to investigate and respond to alerts the way a skilled analyst would, using REST API integrations across existing security tools rather than absorbing all your data into another SIEM. Joining him are Will Gregorian, CISO at Galileo Medical, and Howard Holton, CEO at GigaOm.

• Why are AI-powered SOC tools adding to analyst frustration rather than reducing it?
• When an AI agent makes a bad call on an investigation, who actually owns that failure?
• How does Prophet Security's audit trail let you trace every query, piece of evidence, and reasoning step an agent used?
• Why is Prophet Security using frontier models rather than training its own, and how does security-specific context change the outcome?
• What does giving an AI agent remediation authority look like in practice, and where does Prophet Security draw the line?
• How long does it realistically take to go from contract to running Prophet Security against live alerts?

Check out the episode for the answers you need.

Prophet AI is an Agentic AI SOC Platform that investigates and responds with context, shows its reasoning, and elevates every part of your SOC. Prophet AI SOC Analyst investigates and responds to alerts in minutes; Threat Hunter streamlines threat hunts with a natural language interface; and Detection Advisor provides insights on detection quality and coverage.

In this episode, Venkat Siva, co-founder and CEO at CompFly AI, explains how his platform gives security, engineering, and business teams a control plane for autonomous AI agents across their full lifecycle. CompFly discovers agents, assigns each one a verifiable distributed identity, runs adversarial and safety simulations before launch, enforces deterministic policies at runtime through a gateway, and produces immutable audit logs for compliance teams after the fact. Joining him are Mike Lockhart, CISO at EagleView, and Gary Chan, System VP and CISO at SSM Health.

Huge thank you to our sponsor, CompFly AI

CompFly is the control plane for the agentic enterprise. We make autonomous AI agents governable at scale discovering them, evaluating their risk, and enforcing real-time guardrails before execution. Enterprises deploy CompFly to move agents from sandbox to production with the evidence trail their boards/management require.

In this episode, Nico Waisman, CISO at XBOW, explains how XBOW uses autonomous AI agents to run continuous, incremental penetration testing without triggering false-positive avalanches or taking down production systems. Joining him are Jacob Combs, CISO at Tandem Diabetes Care, and Davi Ottenheimer, president at Flying Penguin.

• Why can't traditional pen tests keep up with modern attack surfaces?
• How XBOW's attack credit model maps to the way security teams already size testing effort?
• What stops an autonomous pen testing agent from causing real damage in production?
• How incremental testing works when a new pull request changes the application?
• Where XBOW is headed on prompt injection and LLM-specific vulnerabilities?
• How you audit what the AI actually did during an assessment?
• What novel vulnerability chains are emerging as AI reasoning models get more capable?

Check out the episode for the answers you need.