Securing AI agents: how Enforgate addresses the OWASP Agentic Top 10

An AI agent is only as safe as the tools it can reach. The moment an agent can query a production database, send email on your behalf, move money, or delete a file, a wrong turn -- a hallucination, a prompt injection, a buggy plan -- stops being a bad answer and becomes a real-world action. Traditional app security wasn't built for a non-deterministic actor making tool calls on its own.

Enforgate is the security boundary for that actor.

What Enforgate is

Enforgate is a gateway that sits between your agents and the tools they use (MCP servers, APIs, internal services). Every tool call passes through it, is evaluated against your policies, gets a verdict -- allow, deny, or require approval -- and is written to an immutable audit log. Think of it as a firewall plus a flight recorder for AI agents.

Four things happen at that boundary:

• Policy enforcement. Rules you control decide what each agent may do, matched on the tool name and its arguments.
• Audit. Every call is recorded in a tamper-evident log -- without ever storing raw arguments or secrets.
• Human-in-the-loop. Sensitive actions pause for a person to approve, with notifications and one-click approval built in.
• Response inspection. Tool outputs are scanned for secrets and sensitive data before they ever reach the model.

How we solve issues

The core idea is default-deny at the action boundary. If no policy allows a call, it doesn't happen. Invalid or malformed rules fail closed. An audit write failure blocks the call rather than letting it slip through unlogged. Security isn't a suggestion the model can talk its way around -- it's enforced outside the model, at the gate.

On top of that boundary, Enforgate adds the controls agentic systems specifically need: short-lived, scope-limited session tokens instead of permanent keys; per-agent rate and budget limits; secret injection so raw credentials never reach the agent or the logs; a trusted registry for the MCP servers you connect; and response-side data-loss prevention.

Mapping to the OWASP Agentic Top 10

The OWASP Agentic Security Initiative (ASI01-ASI10) catalogs the highest-impact risks in agent deployments. Here's how Enforgate addresses each:

• ASI01 -- Agent Behavior Hijacking: policy verdicts, per-agent trust scoring, and a freeze switch to stop a misbehaving agent.
• ASI02 -- Prompt Injection & Manipulation: injection scanning on tool arguments, plus a full audit trail to catch manipulation attempts.
• ASI03 -- Tool Misuse & Exploitation: every tool call is policy-gated and logged; nothing reaches an upstream tool without a verdict.
• ASI04 -- Identity & Privilege Abuse: long-lived keys are exchanged for short-lived, scope-limited session tokens with a TTL.
• ASI05 -- Inadequate Guardrails & Sandboxing: default-deny policies, human-in-the-loop approvals, and standing grants for the exceptions.
• ASI06 -- Sensitive Information Disclosure: response-side DLP redacts or blocks secrets and PII before they reach the agent.
• ASI07 -- Data Poisoning & Manipulation: a tamper-evident hash chain over the audit log and response hashing prove records weren't altered.
• ASI08 -- Denial of Service & Resource Exhaustion: per-agent call and budget caps with hard limits stop runaway loops.
• ASI09 -- Insecure Supply Chain & Integration: a trusted MCP registry with version pinning and identity verification for the servers you connect.
• ASI10 -- Over-reliance & Misplaced Trust: per-agent trust scores and a complete, attributable audit trail keep humans in control.

We publish an honest, up-to-date breakdown of exactly what's fully covered, partial, and still on the roadmap -- see the OWASP Agentic Top 10 coverage page. We'd rather tell you precisely where we stand than claim a checkmark we haven't earned.

Getting started

If you're putting an AI agent anywhere near production tools, start with the boundary. Point your agent at Enforgate, write a policy, and you've got enforced controls, a real audit trail, and human oversight on the actions that matter. The docs walk through the first ten minutes.