Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In February 2026, researchers uncovered something that should give every security leader pause. A malware operation called SmartLoader, previously known for targeting consumers who downloaded pirated software, had completely pivoted its infrastructure. SmartLoaders new target was developers, and its new entry point was a protocol most security teams had never heard of. The payload delivered to victims: every saved browser password, every cloud session token, every SSH key on the machine.

Every security vendor shipping an AI product in 2026 makes the same promises. Faster triage. Shorter response times. Fewer false positives. Reclaimed analyst hours. But, six months after deployment, most security leaders still cannot answer a straightforward question from the board: Is this thing actually working?

Anthropic built a powerful AI model and then kept it on a short leash. The important part is not that a model found bugs, which has been coming for a while. What’s worth acknowledging is that Anthropic looked at what Mythos could do and decided broad release was a bad idea. Attackers do not need a perfect autonomous system. They need leverage.

Businesses are constantly investing in new security tools to protect their digital environments. However, many organizations are only tapping into a small fraction of what those tools can actually do. This massive amount of unused potential adds up to something called security debt: a growing risk for organizations of all sizes. Security debt occurs when tools capable of mitigating threats are underutilized, misconfigured, or left idle.

There’s never a good time to lose a production database, but losing one to your own AI coding agent on a Friday afternoon has to rank near the bottom of the list. That’s the backdrop to the PocketOS incident, and it’s the clearest case yet for why AI agent security and intent-based access control belong at the top of every cloud security roadmap this year.

As more organizations move past experimentation and start planning real AI agent deployments, the same set of concerns keeps surfacing in our conversations with security teams. Whether the worry is a shadow agent that shows up uninvited or a sanctioned agent going rogue, the questions tend to cluster around control: These are the right questions to be asking, and they share a common answer that’s more concrete than most people expect. AI agents are only as dangerous as the privileges they can reach.