About Anomity

Our mission

Anomity exists to make the AI agent layer visible and governable. AI agents and MCP servers are spreading across every managed endpoint faster than security programs were built to track, and most teams cannot answer the simplest question about any of it. We are here to close that gap.

Our category is agentic endpoint security. We give security teams a live inventory of every AI artifact running on the fleet, the policy controls to govern those artifacts continuously, and the audit trail to prove what changed and when. The work is concrete: turn an invisible, fast-moving surface into something a CISO can actually see, reason about, and enforce.

The problem we exist to solve

AI tooling arrived inside organizations through the people doing the work, not through procurement. Developers and employees install agents, wire in MCP servers from public registries, load extensions, skills, plugins, and hooks, and leave secrets in plaintext config files, all without anyone reviewing it. This is the new shadow IT, and it lives on the endpoint.

Each of these artifacts carries its own permissions and capabilities. None of them report to the security team. The result is a blind spot that existing tools were never designed to cover, and a question no one can answer when something goes wrong.

• Ungoverned AI agents, each with its own permission model and none reporting to security.
• Unknown MCP servers running with filesystem, shell, and network access that no one reviewed.
• Extensions, skills, plugins, hooks, and CLIs that load into agents and carry their own permissions.
• Secrets sitting in plaintext config files that any loaded agent or plugin can read.
• Blanket permission grants that hand the machine over to whatever prompt is running.
• No change history, so reconstructing what was installed or modified becomes a forensics engagement.

The principle behind everything we build

You can't govern what you can't see. Every control, every policy, and every audit only matters if you first have an accurate, current picture of what AI is actually running across the fleet. That principle orders how we build: visibility comes first, governance builds on it, and proof closes the loop.

The name reflects the same idea. Anomity combines anomaly and anonymity, the two failures we set out to fix: deviations in AI behavior that go unnoticed, and agents and MCP servers operating invisibly across the organization.

Our approach

We are visibility-first and zero-friction by design. A lightweight, unprivileged daemon runs on every managed endpoint across Windows, macOS, and Linux. It discovers and inventories AI agents, MCP servers, extensions, skills, plugins, secrets, hooks, and CLIs, then sends metadata over HTTPS to the Anomity Cloud to classify, evaluate, and store. Developers and employees keep working; nothing gets sandboxed or blocked.

From that live picture, security teams define rules, such as no blanket Bash or Write grants, only approved MCPs, and no plaintext secrets, and policies evaluate continuously. Violations route to the SIEM, Slack, email, and Jira where teams already work. A 90-day audit trail records every added, removed, or modified artifact, so 'what changed last Thursday?' becomes a single query.

Trust is part of the design, not an afterthought. We are SOC 2 Type II attested. Secrets stay on the endpoint and are redacted before anything leaves the machine. We collect metadata only, never source and never prompts, with strict tenant isolation, per-device credentials, and bcrypt at rest. Anomity complements the tools you already run, including network and gateway controls, EDR and XDR, DLP, and GRC; it does not replace them.