Local optimized model inference
Runs compact models tuned for Apple Silicon so behavior analysis stays fast, private, and available while agents execute.
Private Beta for Mac Silicon now
Mutiqo observes what agents do on your Mac: the packages they install, the processes they spawn, the persistence they change, the listeners they open, and the secrets they approach. Lightweight models optimized for Apple Silicon interpret those behaviors on-device, without source uploads or centralized developer telemetry.
Capabilities
Mutiqo combines runtime instrumentation, behavioral heuristics, and compact edge-optimized ML models to evaluate developer-tool activity with minimal overhead.
Runs compact models tuned for Apple Silicon so behavior analysis stays fast, private, and available while agents execute.
Connects package installs, commands, spawned processes, network activity, persistence edits, and secrets access into one local runtime graph.
Tracks package origin, version drift, postinstall behavior, and transitive changes back to the agent action that initiated them.
Maps parent-child execution, interpreters, build tools, shell pivots, and unusual process chains as they happen.
Watches for credential access, keychain touches, environment file reads, launch agents, shell profile edits, and other durable changes.
Identifies new listeners, unusual ports, outbound bursts, and process-linked network behavior without exporting raw developer telemetry.
Differentiator
Traditional EDR was built for enterprise endpoint defense: collect broad telemetry, centralize it, enrich it with threat intelligence, and help security teams investigate compromised machines. That remains essential. But AI coding agents create a narrower, faster, and more privacy-sensitive problem inside developer environments.
Mutiqo focuses on the behavioral chain that matters when an autonomous tool edits, installs, spawns, persists, listens, or reaches for secrets. The analysis runs locally, close to the developer workflow, so the system can reason over package lineage and process relationships without shipping source code or raw development telemetry to a central lake.
EDR watches endpoints broadly. Mutiqo watches the high-risk runtime path created by AI agents, package managers, interpreters, shells, credentials, and local services.
Many EDR programs depend on centralized telemetry for investigation. Mutiqo keeps sensitive developer context on the Mac and uses optimized local inference for fast behavioral interpretation.
Instead of treating every event as an isolated alert candidate, Mutiqo builds the execution graph first, then evaluates whether the sequence is expected, suspicious, or worth interrupting.
This is not a replacement for enterprise response workflows. It is a developer-side control plane for the AI-agent layer that existing EDR products were not originally designed around.