AI Agent Security

    One Control Layer to Secure, Govern, and Run APIs, MCPs, and IDE-Driven AI Agents

    AI Agents → SuperContracts MCP Gateway → APIs & MCPs

    Cursor/Claude Code/Copilot → IDE Hooks + Runtime Enforcement → Terminal Actions

    Gateway · Policy · Guardrails · Approval · Execution · Evidence

    For Security Teams — Securing AI Agents and IDEs

    Let agents act autonomously — without giving them unrestricted power.

    An MCP Gateway with executable SuperContract guardrails for APIs and MCPs. Secure Cursor™, Claude Code™, and production AI agents with policy-driven execution, runtime enforcement, approvals, webhooks, and MCP triggers.

    IDE Hooks and eBPF Runtime monitoring.

    Deterministic Guardrails · Policy driven Human-in-the Loop · Auditability

    Deterministic Guardrails

    Define executable policies in SuperContracts that govern what APIs and MCPs an AI agent can call, with schema validation, rate limits, and data constraints.

    Runtime Observability

    IDE hooks and eBPF-powered monitoring review and block terminal commands in real time before they reach production systems.

    Policy-Driven Approval

    Human-in-the-loop approvals for sensitive operations. Every execution is logged, versioned, and tied to an auditable contract.

    IDE-Native Enforcement

    Works inside Cursor™, Claude Code™, Copilot™, and VS Code™. Agents get guardrails without leaving the editor.

    For Developers

    One executable contract. One source of truth.

    Define, test, execute, document, and debug APIs and MCPs without switching between OpenAPI, Swagger, Postman™, scripts, and logs.

    Agent Security — MCP Gateway with Guardrails

    Govern insecure MCP actions before they reach production

    Cursor™ and Claude Code™ can route MCP actions through the apiLabs.ai Super Contracts MCP Gateway, where policy-driven guardrails govern what agents are allowed to do — for example, controlling Stripe™ refunds, protecting PII in Supabase™, and enforcing PR-only changes to GitHub™ main.

    Stripe™ Refund Guardrail

    MCP Gateway policy controls what refunds an AI agent can execute in Stripe™.

    Agent Security — Stop Risk Before the Terminal Executes

    Secure Cursor™ and Claude Code™ at the point of action. Intercept agent-initiated terminal commands with hooks and enforce deterministic ALLOW, DENY, or Human Approval guardrails before execution. Govern high-risk actions across git, curl, ssh, kubectl, terraform, cloud CLIs, package installs, credentials, and sensitive files — while preserving a complete audit trail of what the agent attempted and why it was allowed or blocked.

    Agent Security — Terminal Runtime: See and Control What Agents Actually Do

    Extend protection beyond IDE hooks with kernel-level eBPF observability and enforcement. Monitor agent process execution, network connections, file access, and child-process behavior — even when activity is hidden behind Python, SDKs, scripts, or other tools. Turn runtime telemetry into actionable security findings with severity, agent/session attribution, evidence, affected resources, and remediation guidance — and enforce guardrails that block unauthorized egress, sensitive file access, or dangerous process behavior.

    Agent Security — Turn Terminal Observations Into Actionable Security Findings

    Transform raw agent terminal activity into prioritized, explainable security findings. Detect risky commands, sensitive file access, unexpected child processes, credential exposure, unauthorized network connections, and policy bypass attempts — then enrich each finding with severity, agent and session attribution, evidence, impacted resources, and recommended remediation. Move from simply observing what Cursor™ and Claude Code™ do to understanding what matters, why it matters, and what to do next.

    Agent Security FAQs