Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Many organizations still use the terms AI governance and AI security interchangeably. While they are closely related, they address fundamentally different challenges. Governance establishes accountability, defines acceptable use, manages risk, and helps organizations align AI adoption with business, legal, and regulatory requirements. Security focuses on understanding and controlling behavior.

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Right now, somewhere in your organization, a service account token is sitting in a CI/CD environment variable with access to your entire cloud environment. The job it was created for got deleted three sprints ago, and nobody knows it's still there.

With these skills, any AI coding assistant, including Claude Code, Cursor, or Codex, can now scan code for secrets and provide guided remediation within developer workflows.

Brand impersonation account takeover (ATO) happens when attackers use fake brand assets to expose customers, harvest credentials, and attempt access on the legitimate site. The impersonation stage happens outside the enterprise’s login environment, but the ATO risk appears when stolen credentials, attacker devices, or exposed users reach the legitimate login environment. That distinction matters because brand impersonation and account takeover are often handled as separate problems.

I've spent the better part of three years wiring AI into how my teams build and ship software. So when the news broke this week that the US government had effectively switched off an AI model, I was legitimately shocked. Not for one country. Not for one company. For everyone on the planet, all at once. Three days. That's how long Anthropic's Fable 5 and Mythos 5 models were available before the government ordered them shut off for everyone.

The alert hits after hours. A suspicious sign-in turns into endpoint detections, then someone in leadership asks whether customer data is involved, and within minutes the team is juggling Slack threads, ticket updates, legal questions, and a half-dozen console tabs. Most organizations don't fail here because people don't care. They fail because the response lives in people's heads, scattered docs, and outdated runbooks.

Identity security has long been built around a simple premise: Authenticate a user, grant access, and trust that decision until their next login. While for many this model worked well enough when identities were primarily human and access patterns were predictable, that’s no longer the case for humans and definitely not the case for AI agents.