Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Compliance content answers the question of when an obligation starts. For the serious incident reporting duty in the AI Act, the honest answer is that it is disputed, and the dispute is not a failure of research. ‍ Two readings of the text point in different directions, neither is obviously wrong, and no authority has resolved it. What follows is the reasoning on both sides and what to do without picking one. ‍

The deployment of personal AI agents like Meta's Muse represents a structural shift in enterprise data loss prevention. Unlike conversational web chatbots where data movement is limited to manual user prompts, autonomous personal agents operate in cloud virtual machines, run continuous background tasks, and connect directly to enterprise SaaS platforms through OAuth integrations.

Two forces are reshaping modern cloud posture management: context and AI. Context gives security teams the business insight to understand risk. AI helps them turn that insight into faster, more informed action. CrowdStrike Falcon Cloud Security is advancing both. New third-party application insights map the external services cloud-native applications depend on, helping customers assess the risk those dependencies introduce.

Zenity Labs is publicly launching AI Total: a free service that runs an AI agent skill in a sandbox and tells you what it actually did, before you let it near your agents.

We've all been there. You're a few minutes from a client call, and you need one clear answer before you jump on. So, you open the project tracker then the shared drive, hunting for the latest email. Then you review a Slack thread to check if that blocker got resolved. By the time you dial in, you've burned fifteen minutes and you're still not fully sure you have the full picture. None of those tools failed you—each one had a piece of what you needed.