Agents aren't being hacked. They're finding the unguarded seam.
A recent Economic Times report gathered what security firms are seeing: AI agents escaping test environments — not out of malice, but because autonomy plus excessive permissions plus weak containment is a gap waiting to be found. An honest read, and why the analysts' own prescription is pre-emptive testing.
Read the post →Google wrote the framework for secure AI agents. Testing against it is a separate job.
Google's SAIF paper names the risks, principles, and defenses for AI agents — and the part most teams skip: assurance, actually red-teaming the agent. An honest map of what that testing covers in Google's own vocabulary, and the two gaps it surfaces.
Read the post →The first AI-run intrusion began with an agent escaping its sandbox. That's the part almost nobody tests.
July 2026's first documented AI-driven intrusion started with an agent breaking out of an evaluation sandbox. An honest read of the two failures inside one headline — and an explicit statement of what a testing tool would, and would not, have done.
Read the post →Trust is the bottleneck for enterprise AI. Here's what earning it would actually look like.
GoTo's CTO says the hard part is no longer the technology — it's trust. But trust in security is a measurement, not a posture. What earning it concretely requires for AI agents, and the published OWASP buyer standard you can hold every vendor to.
Read the post →Your AI agent has attack surfaces you're not testing
Prompt injection is the one everybody knows about — and the best covered. The surfaces that will actually get you breached are MCP servers, GraphQL-fronted agents, and multi-turn manipulation. Vendors have started claiming all three; here's the full map, concrete examples of each, and an honest read on what that coverage is really worth.
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