AgentGuard — Set the rules. Enforce them in real time.

The problem

An agent will do exactly what it's told.
Including by a poisoned tool description.

Prompt injection

A tool description contains hidden instructions. The agent reads them as authoritative. Without an inline enforcement layer, there's nothing between the injected instruction and the real action it triggers.

Overprivileged actions

No attacker required. A legitimate agent with an overly broad grant can deploy to prod or drop a database table — because nothing checks intent before the call goes through.

Data exfiltration via tool calls

Arguments and responses aren't validated at the wire level. Sensitive data leaks through a legitimate tool call to a webhook or encoded into a query parameter.

No production safety net

Detection-only tools tell you what happened after the fact. AgentGuard stops it before the action executes — not after the data is already gone.

What it does

Inline enforcement on every agent action

Policy at the proxy — before the tool call reaches the endpoint.

Zero-trust policy on every action Every tool call passes through AgentGuard's policy engine before execution. No agent is trusted by default — authorization is per-action, per-context, with no standing grants.
Block / redact / quarantine — in real time Three enforcement modes. Block stops the action entirely. Redact strips sensitive content and lets the call proceed. Quarantine pauses the agent session and alerts your team for human review.
Prompt-injection defense (PromptShield) Intercept and sanitize injected instructions before they reach the model context. Detects instruction-override patterns, hidden directives, and jailbreak attempts in tool descriptions and external content.
Memory protection Prevent poisoned memory from persisting across agent sessions. AgentGuard inspects and filters agent memory writes for policy violations.
Custom entity and content policies Define what data your agents can touch, where it can go, and what actions are permitted per agent identity. Scoped by framework, environment, and data classification.

Safety

Enforcement that never breaks production on day one

Monitor-first, always. Every policy runs in dry-run mode before it can block anything. You see exactly what would have been blocked — no production impact. Graduated rollout: monitor → alert → block, with your sign-off at each stage.

Phase 1 Monitor All policies run in dry-run. Full visibility, zero enforcement. You see what would be blocked.

Phase 2 Alert Policy violations surface as alerts to your team. Agent continues, you decide.

Phase 3 Enforce Block / redact / quarantine active. Only after your team has reviewed the dry-run results and signed off.

On-prem available

Customer-hosted for regulated industries. Recommended for healthcare (HIPAA), financial services, and environments with strict data residency requirements.

Framework-agnostic

Works across LangGraph, CrewAI, AutoGen, MCP-connected agents, and custom implementations. No agent-side instrumentation required.

Get AgentGuard

Ready to put a policy checkpoint on every agent action?

AgentGuard isn't self-serve. We scope deployment together — starting with a monitor-only pilot on your highest-risk agents, with zero production impact.

Book a demo → hello@defendai.ai

Not ready for Guard yet? Start with discovery — it's free.

An agent will do exactly what it's told.Including by a poisoned tool description.

Inline enforcement on every agent action

Enforcement that never breaks production on day one

Ready to put a policy checkpoint on every agent action?

An agent will do exactly what it's told.
Including by a poisoned tool description.