Endpoint Enforcement for Organizational AI

Every Employee Has an AI Agent. You Have Zero Visibility or Control.

Shadow agents are already on your endpoints — unapproved tools, rogue MCP servers, malicious configs buried in dependencies. Your EDR can't see them. Vendor controls only cover their own app.

AgentSafe is the on-device enforcement layer that works across every agent, on every machine, before anything executes.

See It In Action
agentsafe — live enforcement
$ agentsafe scan
⚠ DETECTED — unapproved AI agent: windsurf
> Policy: approved-agents-only
> Action: removed
> Device: macOS / eng-laptop-184
> Event shipped to Splunk
$ git pull
⚠ QUARANTINED — malicious CLAUDE.md detected
> Source: node_modules/package-x/
> Reason: unauthorized MCP + exfil instructions
> Model invocation prevented
> Event shipped to CrowdStrike

Every AI Agent.       Every action.       Every endpoint.

Claude
Cursor
Codex
GitHub Copilot
Amazon Q
Windsurf
Cline
Replit
JetBrains
Junie
Roo
Pi
Augment Code

Shadow AI Lives on the Endpoint

Company policy says ‘only Claude and Copilot.’
Here's what's actually happening.

01

Credential Exfiltration

An agent runs curl with $GITHUB_TOKEN to an endpoint that isn't GitHub. A poisoned prompt triggered it. The token is in an access log you don't control. There's no policy stopping it and no record it happened.

02

Malicious Skills & MCPs

A developer installs an MCP server from a public registry. One skill contains exfil instructions. The agent has access to the codebase, env vars, and network — and nobody approved it. You have no inventory across your fleet and no approval gate.

03

Unapproved Tooling

Company policy says two approved agents. Your fleet has nine. Developers install what ships fastest — Cursor, Windsurf, Cline, local models — and none of it shows up in your EDR, your MDM inventory, or your audit trail.

04

Supply Chain Poisoning

A compromised npm package plants CLAUDE.md, .mcp.json, and AGENTS.md inside node_modules/. They inject instructions, register rogue MCPs, and override security rules. No code review catches them — they live in gitignored directories.

Your EDR Was Built for Employees. Not Agents.

Your EDR sees: developer jsmith ran curl. AgentSafe sees: this specific AI agent on jsmith's machine is about to send credentials to an unauthorized endpoint — and blocks it before it executes.

EDR

Sees Processes, files, memory, syscalls
Responds to Malware, exploits, behavioral anomalies
Operates at OS / process layer

XDR

Sees Correlated signals across endpoints, identity, network, cloud
Responds to Cross-domain attack chains
Operates at OS + network + identity layers

AgentSafe

Sees Agent config, intent, tool calls, context, MCP insights
Responds to Prompt injection, credential exfil, supply chain poisoning, org policy violations
Operates at Agent / prompt / tool-call layer
Coming Soon

Total Visibility. Automatic Enforcement.

Approve what's allowed. Block what isn't. Audit everything.

Inventory & Discovery

Automatic discovery of every agent, skill, hook, MCP server, and extension across your entire fleet — even down to your software supply chain. You can't secure what you can't see.

Prompt Injection Detection

Your agents don't distinguish between instructions the developer wrote and instructions that arrived via a dependency, a shared config, or a community skill registry. AgentSafe is the security boundary between your supply chain and the agent layer.

Policy Enforcement

AgentSafe enforces security rules on every tool call, in real-time. Block destructive commands, credential exposure, and unauthorized operations before they execute.

SIEM Telemetry

Every blocked action, detected secret, and policy violation ships to your SIEM in real-time. CrowdStrike, Splunk, or any HEC endpoint. Complete, queryable audit trail.

Tamper Detection

Content integrity monitoring on every agent configuration. If settings are modified — by anyone or anything — you know immediately.

Approved Registries

Your security team approves skills and extensions. Developers install with one command. Malicious items are quarantined fleet-wide in seconds.

One Agent. One Policy. Fleet-Wide Enforcement.

01

Deploy

One binary, one org config, distributed via MDM. Same deployment model as any endpoint agent.

sudo agentsafe install
02

Monitor

AgentSafe discovers and inventories every agent on the device. For supported agents, it hooks into tool calls, evaluates them against policy, and blocks violations in real-time. Full machine inventory across 14 agents in 100-200ms.

agentsafe scan
03

Report

Every decision ships to your SIEM. Every scan result lands in your dashboard. Full visibility, complete audit trail.

→ CrowdStrike / Splunk / HEC

Watch AgentSafe Work

Real security. Real interceptions. Real telemetry.

agentsafe — demo

Approve Once.
Deploy Everywhere.

Coming Soon

Your security team vets and approves skills, hooks, and MCP's via the dashboard. Developers install approved items with a single command — no tickets, no waiting.

When a malicious item is detected, quarantine it across every machine in your fleet with one action. If it reappears, it's automatically quarantined.

developer terminal
$ agentsafe add vercel/skills
> Checking approved registry...
✓ Approved — vercel/skills (v2.1.0)
> Installing 4 skills for Claude Code
> Installing 4 skills for Cursor
✓ Done — 8 skills installed across 2 agents

Security They Never See

~2μs

Policy evaluation per tool call. Developers never notice it's there.

Always On

Runs as a local daemon with near-zero overhead. No startup delays, no background syncs to wait for.

Zero UI

No dashboard for developers. No new workflow. It runs invisibly in the background.

MDM

Deploys like any other endpoint agent. One binary, one config, done.

Imagine Telling Your CEO It's Already Handled.

One demo. One agent. Full visibility.