Agentic detection and response for the agents your team runs

Every agent your team runs has a normal: which tools it calls, which files it touches, which models it talks to. Agentic Runtime learns that baseline and flags what falls outside it, before it becomes an incident. When an agent suddenly reads a credentials file, pipes data to an unknown host, or invokes a tool it has never used, you see it and you can block it, automatically or by hand.

Coding agents run with broad access to your code, your shell and your credentials. Agentic Runtime sits between them and the system, watching every tool call before it executes. Destructive shell commands, reads against off-limits paths like /home/.ssh, writes to protected files, pushes to protected branches: caught at the point of execution and blocked, while the harmless calls go through. Your developers keep their speed; the dangerous one-liner never lands.

The agentic dev environment is the new endpoint: alongside the MCP servers, skills and models above, your developers install browser and IDE extensions and packages from npm, PyPI, Maven and NuGet, all with privileged access to your code and secrets. A malicious npm package never finishes installing, a credential-stealing IDE extension never loads, a poisoned MCP server never connects: each one is stopped at the moment it would run, not flagged after the damage is done. Where a pre-install scanner only checks a name against a list, the runtime sees what the code actually does, and it surfaces the shadow AI your developers are already using on the side.

You do not flip enforcement on day one. Agentic Runtime starts in observe mode: it watches every agent, every MCP server, every model call across your fleet and shows you what is actually happening. When you are ready, you move to enforce — for an org, a team, a project or a device. Policy cascades from the org down to the developer's machine, and every level can tighten further but never loosen. One posture, applied everywhere, with the audit trail to prove it.