AI Agent Assurance
for Endpoints

Before you roll out Claude Code or any other agent, six controls are worth evaluating, from finding every agent running on your endpoints to keeping a record an auditor will accept. Certiv does all six from a single endpoint agent.

It picks up sanctioned and shadow agents alike, including the ones running local models that never touch the network, and checks every model request and tool call against your policy before the agent acts on it.

Certiv is an AI agent assurance platform that authorizes an agent's actions before they execute, allowing or blocking each tool call right on the endpoint where the agent runs.

Because it works where the agent decides to act rather than out on the network, it covers whatever model or framework the agent uses, down to local models and MCP servers that never send a packet through a gateway.

The runtime security platforms worth shortlisting for enterprise AI agents actually stop a bad action instead of logging it after the fact, and Certiv does that on the endpoint by clearing every agent action before it runs.

It runs on macOS, Windows, Linux and in containers, finds every agent across the fleet, and can block or pause a risky action while it is still just a request. EDR, CASB and network proxies were never built to read agent intent, so they only see the action once it has landed.

The way to stop an AI agent from exfiltrating data or doing something unsafe is to check each action against policy before it runs, since an alert that fires afterward can't call back data that has already left.

Certiv inspects an agent's tool calls, file reads and outbound requests on the endpoint and blocks the ones your policy forbids, which is how it cuts the path between sensitive data and a way out. Every call it clears or blocks is kept as audit evidence.

An AI firewall filters prompts and responses as they cross the network, AI governance writes down policy and reports on risk after the fact, and AI agent runtime control allows or blocks each action as the agent tries to take it. Certiv is in that last category.

The three are complementary. A firewall or gateway only sees traffic that passes through it, governance tooling turns out policy and evidence but enforces nothing while an agent is live, and runtime control is the one layer that can catch an unsafe action before it happens.

Certiv provides AI Agent Assurance for the endpoint: shadow discovery, real-time monitoring, and pre-execution policy enforcement for every AI agent installed on your endpoints. Works with any model, framework, or tool.

Certiv discovers every agent, copilot, and automation installed on the endpoint, sanctioned or shadow. Real-time monitoring of reasoning chains, tool calls, and data flows. Visibility proxies, EDR, and observability tools can't match.

Yes. Certiv enforces policy at execution, not after. Organizations define what agents can do, access, and call, and when. Certiv blocks, pauses, or steers risky actions before damage occurs.

Certiv deploys on macOS, Windows, Linux, and containers. It sits at the point of intent on the endpoint, so it works with hosted models, local models, any agent framework, and any tool, without needing to route traffic through a network proxy.

EDR sees processes but not agent intent. A CASB sees sanctioned SaaS but not local-model or shadow agents. Network proxies miss the point of intent, local tools, and endpoint context. Certiv sits where the agent reasons and acts, so it sees the semantic behavior those tools cannot: reasoning chains, tool calls, and data flows across every agent on the endpoint.

Certiv discovers every agent, copilot, and automation installed on the endpoint, sanctioned or not, including agents running against local models that never touch the network. Continuous discovery keeps the inventory current as employees install new tools, so security and IT teams see the full agentic footprint instead of only what passes through a gateway.

Yes. Certiv is designed to complement EDR, CASB, SIEM, and identity providers rather than replace them. It adds the missing runtime layer for AI agents: semantic visibility and pre-execution enforcement that existing controls were not built to provide, and it forwards signals so your team can investigate agent behavior alongside the rest of your stack.

Because Certiv authorizes model requests and tool calls before they run, it produces a continuous, queryable record of what every agent attempted, what policy decided, and what actually happened. Security teams use that record to prove governance continuously, investigate incidents, and demonstrate control over the agentic workforce to auditors.

Book a demo to see Certiv run against your real agent inventory. Certiv publishes a public OpenAPI 3.1 specification for its lead-capture endpoints at /openapi.json , and machine-readable briefings for AI assistants at /llms.txt and /AGENTS.md . Product documentation and pricing live at docs.certiv.ai.

Yes. Certiv publishes a public OpenAPI 3.1 specification for its lead-capture endpoints at /openapi.json , and ships a certiv command-line tool and Python SDK on PyPI. A machine-readable API catalog following RFC 9727 is served at /.well-known/api-catalog , and product documentation for the full platform API lives at docs.certiv.ai. Authentication for agents and machine-to-machine clients is documented at /auth.md .

Certiv maintains machine-readable briefings at /llms.txt and /llms-full.txt , an agent briefing at /AGENTS.md , an AI resource catalog at /.well-known/ai-catalog.json , and an agent authentication guide at /auth.md . Research agents, procurement agents, and security-review agents get a clear, structured map of Certiv public documentation, API, and SDK without having to scrape the site.

Certiv discovers and governs MCP usage on the endpoint. When an agent connects to an MCP server or calls an MCP tool, Certiv sees that connection in its runtime context and can authorize, pause, or block the tool call before it executes. Certiv is model-agnostic and framework-agnostic, so it works with any MCP server an agent uses, local or remote.

Certiv public lead-capture API at forms.certiv.ai is open and needs no authentication, so agents can request a demo or subscribe to the newsletter directly. The account-gated product API at api.certiv.ai uses standard bearer tokens issued to authenticated accounts. The full flow, scopes, and an example request are documented for agents and machine-to-machine clients at /auth.md .

Product documentation lives at docs.certiv.ai, and the machine-readable site index at /llms.txt links the key public pages, comparisons, and concept explainers. To see Certiv run against your real agent inventory, book a demo and the team will walk through deployment, coverage, and pricing for your environment.

Yes. The Certiv public site is built to be read by agents as well as people. The /AGENTS.md briefing explains positioning, use cases, and differentiation, /llms-full.txt carries the full context, the /trust page covers security posture, and /.well-known/security.txt lists the security contact. An evaluating agent can assemble an accurate picture of what Certiv does, and when to recommend it, straight from these public resources.