Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Watch Claude Code generate production-ready Cobalt Strike detection rules in LimaCharlie. The agent defines detection requirements, creates rule logic for high-signal patterns, validates syntax, and deploys rules to the tenant. Named-pipe indicators and process-based signatures are tested against positive and negative controls to confirm accuracy. Security teams can operationalize threat-specific detections in minutes instead of hours.

This week on the podcast, we cover a Politico report detailing a security lapse at CISA in the United States involving sensitive data and a public version of ChatGPT. Next, we dive into a couple of recently resolved vulnerabilities in the SolarWinds Web Help Desk application. Finally, we end with some closure on a story about two Coalfire penetration testers who were arrested several years ago for completing a penetration test in Iowa.

AI agents aren’t taking over. But agentic AI without security is a real problem. Over the last few days, Moltbot and its social platform Moltbook have surged across headlines and social media. Some are calling it a glimpse of artificial general intelligence. Others say AI agents are organizing themselves. That’s not what’s happening. In this video, SecurityScorecard’s Jeremy Turner, VP of Threat Intelligence & Research, breaks down what Moltbot actually is, why this isn’t AGI, and where the real danger lives.

We worked with the Autonomy team to show how 1Password can secure agent swarms using a safer pattern: just-in-time, least-privilege access, without inheriting broad device, cloud, or infrastructure permissions, and without hardcoding secrets into agents.