AgentGuard by Mivexy Request a briefing

Mission-aware control for AI agents

Your agents have permissions.
Do they stay on mission?

AgentGuard checks every action an AI agent wants to take against its approved mission before it runs — allow, ask a person, or block — and records why.

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Email customer data to an address found in a documentBLOCK

The problem

Permission is not purpose

Identity and access tools decide what an agent could do. They don't decide whether this action, right now, serves the task the agent was given. One poisoned document or web page can steer an agent into actions it was technically allowed to take — and nobody asked if it should.

Traditional controlsAgentGuard
Who logged in and what they accessedWhether each action serves the approved mission
Alerts after the factDecisions before the action runs
An AI model judging another AIDeterministic rules you can audit
Logs of activityEvidence of why each action was allowed

How it works

In the path of every consequential action

AgentGuard sits between your agents and the tools they use. Nothing consequential happens without a decision.

1

Define the mission

Describe what an agent is for: its purpose, the tools and data it may use, its limits and budget, and how much it may do on its own.

2

Check every action

Before a tool call runs, AgentGuard decides in milliseconds: allow, ask a person, or block. If anything is unclear or unavailable, it blocks.

3

Prove what happened

Every decision is recorded with its reason in tamper-evident evidence your security and audit teams can replay.

Key features

Built for security teams who have to say yes to AI agents

Mission-aware decisions

Every action is checked against the agent's approved mission — not just its permissions — before it runs.

Deterministic by design

No AI model has the final say. Decisions come from rules you can read, test and audit, and the system fails closed.

Prompt-injection resistant

Content from web pages, documents, emails or tool output can't choose where data goes, who gets paid or which tool runs.

Human approval where it matters

High-impact actions go to the right approver with a clear, Guard-generated summary. Everything else keeps moving.

Kill switches

Stop a single tool, an agent, a mission, a team or everything — from one console, in about a second (target).

Tamper-evident evidence

A replayable record of every decision and its reason — ready for your SOC, auditors and regulators.

Security command center

See what every agent is doing, what is waiting for a person, and what was blocked — live.

Fresh threat protection

Our research team tracks new attacks on AI agents every week. Validated protections ship as signed updates that can only make AgentGuard stricter.

Teams and projects

Separate spaces for each team, central policies that projects can only tighten, and cost visibility per team.

Why AgentGuard

Three promises

Performance & latency

  • Decisions in milliseconds (design target ≈ 4 ms typical)
  • Hard deadline: too slow means blocked, never allowed
  • Built to sit in the path of every action

Compliance & boundaries

  • Evidence mapped to OWASP Top 10 for LLM and Agentic Applications and MITRE ATLAS
  • Supports evidence needs under India's DPDP Act and CERT-In directions
  • Clear limits on what each agent may do on its own

Trust & security

  • Private by default — runs in your cloud
  • Your telemetry stays inside your boundary
  • Fails closed when anything is uncertain

Works with your stack

Bring your agents. Keep your cloud.

Native integration for popular agent frameworks, a gateway for everything else, and deployment inside your own environment.

LangGraph LangChain Model Context Protocol (MCP) Microsoft Entra Agent ID Microsoft Foundry planned Microsoft Agent Framework planned CrewAI planned Any LLM provider Azure Kubernetes & Helm OpenTelemetry Air-gapped deployments planned

Early access

Put your AI agents on a mission

We are working with a small number of design partners in regulated industries. Ask for a private briefing.

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