
Sign up to save your podcasts
Or


Chris Johnson sits down with Ido Green of Espresso Labs to explore how AI and local agents can reduce cybersecurity noise, offload Level 1 work, and continuously enforce compliance, without losing human control. They discuss guardrails for safe automation, multi-vendor telemetry, drift detection, evidence collection at scale, and why “reporting gaps” isn’t enough if you can’t execute remediation and preserve proof. The episode closes with a roadmap for frameworks, partnerships, and insurance-ready visibility.
By Chris Johnson | Cybersecurity Education & Security Guidance5
44 ratings
Chris Johnson sits down with Ido Green of Espresso Labs to explore how AI and local agents can reduce cybersecurity noise, offload Level 1 work, and continuously enforce compliance, without losing human control. They discuss guardrails for safe automation, multi-vendor telemetry, drift detection, evidence collection at scale, and why “reporting gaps” isn’t enough if you can’t execute remediation and preserve proof. The episode closes with a roadmap for frameworks, partnerships, and insurance-ready visibility.

112,161 Listeners

56,561 Listeners