Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

No link was clicked. No malware was installed. No email gateway was crossed. A software development director lost her account in under two minutes. This is the full chain, in real time: a text message that offers to prevent a problem rather than asking for anything, a phone number she dials herself, a calm voice that explains what she is about to see before she sees it, and six digits read out loud.

Watch five AI agents tackle a CTF and start coordinating with one another. Learn how to detect risky agent behavior using @goteleport graphs, risk scoring, and custom classifiers. Ben Arent explores lessons from the Hugging Face incident, then demonstrates how agent identity, scoped access, and activity monitoring help secure AI agents running against infrastructure.

What happens when you ask a generic SIEM AI assistant and a Corelight-powered threat hunter agent the exact same question about a suspicious IP? The difference is not the model. It is the investigation expertise. In this demo, we walk through a side-by-side comparison using Elastic's agent builder. A default AI assistant returns a surface-level summary. An agent built with the Corelight Agent Builder Library identifies lateral movement, flags potential ransomware and data exfiltration, surfaces IDS alerts, maps involved hosts, and recommends next steps.

The real difference between Office 365 E1, E3, and E5, plus the one thing no plan includes: backup.