Agent actions are fragmented
Prompts, shell output, package managers, file reads, and network behavior live in different places.
Local security for AI-assisted development
Visibility before AI agents change your machine.
Mutiqo shows what coding agents actually do at runtime: commands, packages, generated scripts, sensitive file access, process trees, local services, and network activity. Available for
Request Early Platform Access
Built for
Cursor
Claude Code
Codex
Windsurf
Local Macs
Mutiqo stops
Blind Agent Actions
Runtime chain identified
Package install -> generated script -> ~/.env.local -> localhost:49152
AI coding security: the visibility gap
AI agents now operate across the machine, not just inside the editor.
Traditional code review sees the diff. Endpoint tooling sees noisy machine events. Mutiqo connects the two by showing the runtime behavior caused by AI-assisted development.
Package installs
Generated scripts
Shell commands
Secret reads
Local ports
Process trees
Startup changes
Background tasks
Network calls
Config edits
Credential patterns
Long-running services
Machine changes happen fast
A useful coding task can install code, launch services, and touch credentials before a developer notices.
Security review lacks context
Teams need to know which AI session caused the action, why it happened, and what changed afterward.
Observe from prompt to process
Turn agent execution into evidence developers can act on.
Mutiqo follows the operational path of an AI coding session and presents the important state changes as a compact, local audit trail.
Agent starts task
Prompt and tool context
Mutiqo observes
Commands, files, packages, ports
Team reviews
Allow, investigate, or block
Runtime intelligence
The connective tissue for AI-assisted development security.
Full Runtime Context
Link agent steps to processes, scripts, dependencies, local services, and sensitive resource access.
Evidence-Backed
Show concrete events and relationships instead of vague risk summaries or generic endpoint alerts.
Local-First
Analyze developer-machine behavior without requiring source uploads or centralized workspace logging.
Technical founders
Understand what agent-driven workflows are changing before security process gets heavy.
AI developers
Keep the speed of coding agents while seeing exactly what ran on the machine.
Security-conscious builders
Review risky local actions without deploying a complex enterprise security stack.
Ready to see agent activity clearly?
Join the private beta.
We are opening access to a small group of teams actively using AI coding agents on developer machines.
Available for
Response received
Thank you. We will review your private beta request.