Your AI agents are making decisions. Who's watching?

Real-time governance, human review, and audit-ready logs for every action your AI agents take — so regulators, customers, and your board can trust what's running behind your product.

Built on Microsoft Azure · SOC 2 Type I in progress · HIPAA-ready · Backed by peer-reviewed research

GOVERNANCE DASHBOARD

Monitored

Flagged

Failed

Agent action: approved — 0.3ms

Step loop detected — escalating

Human review: approved — $24,500

“Designed for healthcare, fintech, and enterprise AI teams preparing for the EU AI Act, HIPAA, SOX, and PIPEDA.”

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THE PROBLEM

Most AI agents fail silently. That's the problem.

Here's what nobody tells you when you deploy an AI agent into your business:

Most of them don't crash. They just drift. They repeat steps they already finished. They ignore instructions from the agent next to them. They send the wrong email, approve the wrong claim, skip the verification step — and the system hums along like nothing happened.

Peer-reviewed research analyzing more than 1,600 real multi-agent systems found that somewhere between 41% and 87% of them fail in production. Not “occasionally glitch.” Fail. Silently, in ways a log file won't catch and a dashboard won't show.

And now regulators want answers. The EU AI Act is live. HIPAA auditors are asking about AI. SOX teams are asking for audit trails on every automated decision. Most companies can't produce one.

That's the gap. We built for the gap.

Multi-agent failure rate in production

Systems analyzed in research base

Catastrophic failures in reference architecture

THE PLATFORM

One platform. Three jobs. Zero blind spots.

WATCH

Catch problems before they become incidents.

Every action your AI agents take passes through us first. In under a second, we score it, check it against your policies, and flag anything that looks off — step loops, role violations, actions taken without verification, and eleven other failure patterns that were catalogued by researchers at one of the world's top AI labs. You see it happen live. Your agents keep running.

DECIDE

Put a human in front of the decisions that matter.

When the stakes are real — a wire transfer, a patient update, a mass email, a legal change — we pause the action and route it to the right reviewer with everything they need to make the call. Approve. Edit. Reject. All three decisions are logged, signed, and time-stamped. This isn't friction. It's the evidence that protects you when someone asks what happened on a Tuesday in November.

PROVE

One click. The audit is done.

Pick a regulation. Pick a date range. Download a PDF. Inside it: every AI action, every policy check, every human decision, every failure flagged and resolved — formatted exactly the way GDPR, HIPAA, EU AI Act, SOX, and PIPEDA auditors expect to see it. No consultants. No weekend. No scramble.

INTEGRATION

Three lines of code. That's the integration.

Whatever framework your team uses — LangChain, AutoGen, CrewAI, MetaGPT, or something you built yourselves — you wrap your agent once and we take it from there. No rewrites. No vendor lock-in.

terminal

from mastguard import MastGuard
 
mg = MastGuard(api_key="your_key")
mg.monitor(agent=my_agent)

That's it. Your first governed action is 90 seconds away.

LangChainAutoGenCrewAIMetaGPTLlamaIndexCustom

LIVE GOVERNANCE FEED

✓ Agent action: approved — 0.3ms

⚠ Step loop detected — escalating to reviewer

✓ Human review: approved — wire transfer $24,500

✓ Audit log generated — HIPAA compliant

BUILT ON EVIDENCE

Backed by peer-reviewed research. Not marketing opinion.

Most governance tools were designed in a meeting. Ours was designed around a body of academic research published at the top AI conferences in the world.

We built our failure detection engine on a taxonomy derived from the analysis of over 1,600 real multi-agent systems. We built our human-review workflow on the reference architecture from a clinical AI platform that ran 350 real patient decisions without a single catastrophic failure. Every design choice traces back to evidence — not intuition.

If you want the papers, we'll send them. If you want a walkthrough of how the research maps to the product, our team will do it on a call.

systems analyzed in the research our engine is based on

detection accuracy for known agent failure patterns

catastrophic failures in the reference architecture's production deployment

SOLUTIONS

Built for the teams that can't afford to get this wrong.

Healthcare AI teams

You're deploying AI into clinical workflows, and HIPAA doesn't care that the agent was 'mostly right.' We give you the audit trail, the PHI safeguards, and the BAA your compliance officer is going to ask for in the first meeting.

Financial services

Your agents touch money. Or decisions about money. Either way, SOX and MiFID II want a complete, tamper-proof record of every automated decision, and they want it for seven years. We produce it automatically, the moment it happens.

Enterprise AI builders

If you sell to European customers and your product uses high-risk AI, the EU AI Act is no longer optional. Fines go up to €30M. We give you the transparency logs, human oversight, and risk documentation the regulation requires — from day one.

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Canada

PIPEDAAlberta PIPAQuebec Law 25

🇺🇸

United States

HIPAASOXCCPA/CPRA

🇪🇺

Europe

EU AI ActGDPRUK GDPRMiFID II

FAQ

The questions you were about to ask.

The tools you have watch individual models. They tell you after the fact that something went wrong. We sit in front of the action — across entire teams of agents, in real time — and stop the dangerous ones before they land. Different job.

Typical governance decisions take under 400 milliseconds. Your users won't feel it. Your agents won't either. And the actions we block would have cost you a lot more than a fraction of a second.

Most teams have their first agent governed on the same day they sign up. Enterprise HIPAA deployments with dedicated infrastructure typically take one to two weeks, not months.

Your data is yours. Everything is encrypted in transit and at rest, stored in the Azure region of your choice, isolated per tenant, and never used to train shared models. Enterprise customers get dedicated infrastructure and a signed BAA.

No. We wrap whatever you already have. LangChain, AutoGen, CrewAI, MetaGPT, LlamaIndex, your own code — all supported. Three lines of integration.

PRICING

Pricing that scales with you.

Starter

Individual developers and small teams

$99/mo

Up to 5 agents monitored
10,000 actions/month
7-day audit log retention
Standard audit reports
Email support
API access

Need hands-on help with AI governance?

Our compliance and governance experts work directly with your team — from discovery and risk mapping to custom architecture, implementation, and ongoing regulatory advisory.

Discovery & Risk Mapping

Full audit of your AI stack with a regulatory exposure report in 5 business days.

Custom Governance Architecture

A governance layer designed for your industry, regulators, and existing infrastructure.

Hands-On Implementation

We don’t hand you a manual — we set up, test, and validate alongside your team.

Ongoing Advisory

Quarterly reviews, regulatory briefings, and a dedicated advisor who knows your deployment.

Learn about our consulting services →

Trusted by healthcare, fintech, and enterprise AI teams.

Stop hoping your agents are behaving.

Prove they are.

Twenty minutes with our team will tell you whether this fits. No slides. No pitch deck. Just a walkthrough of your actual use case.

Or email founders@mastguard.com — we read every message.

Let's talk about your AI governance needs.

Whether you're deploying your first AI agent or managing hundreds across a regulated enterprise — we want to understand your specific situation before recommending anything.

Response within 1 business day

NDA available on request

No obligation, no sales pressure

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