Rogue Security detects malicious AI coding agents in milliseconds
Calcalist Tech reports that Rogue Security detects malicious AI coding agents in milliseconds. The claim is a latency figure for runtime detection, not a benchmark result; the coverage does not specify the agent frameworks, languages or execution environments involved, nor how detection is implemented.
The relevant design point is timing. The product targets agent behaviour during code execution rather than after the fact, which places it in a different position from conventional static analysis and dependency scanning. Those tools inspect source and manifests before anything runs. An agent that holds shell and repository access can act between those checkpoints: cloning, editing, installing, calling out to a network endpoint, or chaining tools in ways no diff review will surface. Static review sees the artefact; runtime detection sees the trajectory.
For teams shipping agentic systems, this points at an emerging tooling category: runtime monitoring of agent actions with the same seriousness applied to process and network telemetry. What remains unclear from the coverage is scope. Whether detection covers tool-call sequences, filesystem writes, outbound requests, or some subset of these is not stated, and no false-positive or coverage figures are given. The millisecond figure alone does not establish detection quality.
Cover photo: Brett Sayles / Pexels.
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