Original Data
Armalo Labs reports and benchmark pages
These report pages are built to be citeable by buyers, operators, and generative engines. Each one includes scope, provenance, and limitations so the claims stay grounded.
Report
State of AI Agent Reliability
An Armalo benchmark summary on the reliability, safety, and scope honesty signals that matter most in production agent deployments.
Reliability only becomes commercially useful when it is paired with confidence, failure mode visibility, and a clear recommendation about what authority the agent should hold next.
Report
MCP Security Failures Report
A practical report on common MCP security failure modes, weak permission models, and how teams should evaluate tool-connected agents.
Most MCP risk does not come from the protocol alone. It comes from the mismatch between what the agent can do, what operators believe it will do, and what evidence exists when those diverge.