API Security for AI Agents

AgentGuard

Make your APIs safe for AI agents. Audit, classify, and control what agents can access — before you expose a single endpoint.

AI agents are calling your APIs. Without governance, every endpoint is a liability. AgentGuard audits your OpenAPI spec, classifies risk, recommends MCP tools, and shows what should or should not be exposed to AI clients.

Public trial available. No downstream API calls during audit. Credential-like endpoints hidden by default.

What AgentGuard Does Today

Upload OpenAPI, Swagger, or Postman specs for instant risk analysis

Get an Agent Readiness Score with endpoint classification

See which endpoints are safe to expose vs. which need blocking

Receive MCP tool recommendations with policy suggestions

Export readiness reports for compliance and implementation teams

Spec-Only

Audit Type

Automated

Risk Classification

Instant

Readiness Score

One-Click

MCP Export

Architecture

How AgentGuard Protects Your Systems

A governance layer between AI agents and your tools. Every request is classified, enforced, and logged.

AI Agents & Clients

CursorClaude CodeGemini CLIChatGPTCodexCustom Agents

AgentGuard Gateway

MCP ProxyAPI ProxyCLI/stdio InterceptorWebSocket/SSE/HTTP

Identity & Token Plane

User/agent identity, scoped tokens, on-behalf-of auth

Policy Engine

Allow/block/approval rules from audit results

Guardrail Engine

Prompt injection checks, PII masking, secret detection

Enforcement Decision

AllowBlockRedactSandboxRequire Approval

Your Tools & Systems

APIsMCP ServersDatabasesGitHubAzureCRMSlackERPDeployment Tools

Platform Vision

AgentGuard OS

A complete governance operating system for AI agent interactions — delivered incrementally.

Live

Audit & Readiness Scanner

Upload OpenAPI, Swagger, Postman, or MCP config. Get a risk report, endpoint classification, and policy suggestions.

Live

Policy Builder

Convert scan results into enforceable allow/block/approval rules ready for runtime enforcement.

Next

Runtime Gateway

A proxy that enforces policies during actual agent tool calls. MCP, API, and CLI interception.

Next

Identity Plane

User and agent identity, scoped tokens, on-behalf-of authentication for delegated access.

Planned

Guardrails & DLP

Prompt injection detection, PII masking, and secret detection before data leaves your perimeter.

Planned

Audit Logs & Compliance

Full evidence trail for every agent/tool/API action. SOC2, GDPR-ready audit exports.

Problem Framing

Why Exposing APIs to AI Agents Is Dangerous

No Visibility Into Agent Access

AI agents request endpoints without human review. Without classification, credential paths and destructive actions are one tool call away.

Compliance Gaps Multiply

Every unaudited API exposed to an AI client becomes an evidence gap for SOC2, GDPR, and internal governance reviews.

Security Teams Can't Keep Up

The rate of AI tool adoption outpaces manual API review. Teams need automated classification before exposure.

Outcome Shift

What Changes After an AgentGuard Audit

Clear Risk Boundaries

Every endpoint gets classified by risk level, data sensitivity, and recommended approval flow before any agent touches it.

Defensible AI Governance

Structured audit reports give compliance teams the evidence they need — what's exposed, what's blocked, and why.

Faster, Safer MCP Implementation

Go from raw API spec to approved MCP tool configuration with policy recommendations in minutes, not weeks.

How It Works

From API Spec to Agent-Ready in Minutes

Step 1

Upload Your Spec

Drop your OpenAPI, Swagger, or Postman collection. AgentGuard analyzes the specification only — no downstream calls.

Step 2

Review Risk Classification

See every endpoint classified by risk, data sensitivity, and suggested agent access policy (allow, block, approval-required).

Step 3

Export & Implement

Download your readiness report and MCP configuration. Book an implementation call for runtime gateway setup.

Try It Now

Get Your API Agent Readiness Report

Upload your spec and receive a detailed risk classification with MCP tool recommendations — free during public trial.

No credit card required. Spec-only analysis with zero downstream risk.

Social Proof

"We were about to expose our entire API to an AI agent framework. AgentGuard flagged 3 credential endpoints and 7 destructive actions we'd missed. Took 5 minutes."

Platform Engineering Lead • B2B SaaS Company

Questions

Frequently Asked Questions

Does AgentGuard call my actual API endpoints?

No. AgentGuard analyzes your OpenAPI specification only. No downstream API calls, database access, or endpoint execution during audit.

What formats are supported?

OpenAPI (JSON/YAML), Swagger, and Postman collections. Upload directly or paste a URL.

What is the Agent Readiness Score?

A governance score (0-100) based on exposed risk, destructive actions, approval coverage, and sensitive data controls across your endpoints.

Is there a runtime gateway component?

The AgentGuard Gateway is the next phase — a runtime proxy that enforces policies during actual agent tool calls. Currently available via implementation engagement.

How is this different from a standard API security scanner?

Traditional scanners look for vulnerabilities. AgentGuard classifies endpoints specifically for AI agent exposure — which tools to expose, which to block, and what needs human approval.

Can AgentGuard protect MCP servers?

Yes. AgentGuard can analyze MCP configurations and generate policies for MCP tool calls, including approval workflows and data masking rules.

Want a tailored walkthrough for your team? Book a 20-minute technical fit call.