Original research and analysis on AI agent risk, from the team building the platform that monitors it.
A clean dashboard is only reassuring if you know what was looked at. Silent gaps are how good tools earn bad trust.
Labeling an agent as handling confidential data tells you what someone intended. Looking at what the agent can actually reach tells you what is true.
Most agents run with far more access than they ever touch. The audit logs already know which permissions are dead weight. Most teams just never ask.
Agents that remember are more useful, and they are quietly building a new category of stored data that most retention policies have never heard of.
A compliance posture that's only true on the day of the audit isn't a compliance posture — it's a performance. AI agents make that gap impossible to ignore.
Human least-privilege models assume a person makes each decision. Autonomous agents break that assumption in ways most identity programs haven't caught up to yet.
SQL injection had a decade of tooling built around it before most teams took it seriously. Prompt injection doesn't have that decade — and it's already live in production.
Every team can spin up an AI agent in minutes. Almost none of them tell security when they do. Here's why that gap is now the biggest unmanaged risk in the enterprise cloud.
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