What this episode covers
An operator-level look at agent deployment in cybersecurity, including workflow design, ownership, evaluation, and the organizational patterns behind production AI.
Key takeaways
- How cybersecurity changes the AI agent bar
- Agent ownership and operating rhythm
- Evaluating AI workflows in production
- What founders should copy from Abnormal AI
Why it matters for AI engineering teams
The through-line is production discipline. Teams need clear ownership, evaluation loops, source-of-truth workflows, and deployment patterns before AI systems can move from impressive demos to reliable business processes.
The companies getting value from agents are treating them as operational systems, not demos.