EveryAIAgentYouDeployIsaLiabilityWaitingtoHappen.
41–87% of multi-agent AI systems fail silently — no crash, no alert, just wrong outcomes at scale. MAST Guard is the governance layer that catches every failure before it becomes a headline.¹
¹ arXiv:2503.13657 — Cemri et al., UC Berkeley, NeurIPS 2025
The Silent Crisis
Your AI Agents Are Making Decisions Right Now.
Do You Know If They're Right?
of deployed multi-agent AI systems produce failures that go completely undetected
No error. No alert. The system keeps running — just wrong.
arXiv:2503.13657 ↗average HIPAA fine for AI systems mishandling patient data in clinical workflows
Regulators don't accept “the AI did it” as a defense.
EU AI Act enforcement window for high-risk AI systems is already open. Fines reach €30 million.
Most companies have zero compliant audit infrastructure.
The market moved faster than the safety tooling. We built the tooling.
What MAST Guard Does
Five Layers of Governance.
One Platform. Zero Compromises.
Stop Bad Decisions Before They Execute
Every action every agent attempts passes through MAST Guard first — in under 400ms. Policy rules evaluate intent, context, and risk. Wrong actions never reach your systems.
14 Ways AI Agents Fail. We Detect All of Them.
Grounded in peer-reviewed research published at NeurIPS 2025, the MAST Taxonomy identifies every known failure pattern in multi-agent systems — from silent repetition loops to reasoning-action contradictions. Every agent action, analyzed in real time.
High-Stakes Actions Get a Human Set of Eyes
When an agent is about to do something consequential — process a payment, update a medical record, send mass communications — MAST Guard pauses it and routes to a qualified reviewer. Approve, correct, or block. Every decision permanently logged.
A Record That Cannot Be Altered. Ever.
Every action, every decision, every reviewer interaction is written once and locked. Tamper-proof by design. When a regulator asks what happened on any given date, you have the complete answer — timestamped, signed, exportable.
From 'We Need a Report' to Done in Seconds
GDPR Article 22. HIPAA 164.312. EU AI Act Article 12–13. SOX Section 404. MAST Guard knows what each regulator needs and generates the evidence package automatically — formatted, structured, and ready to submit.
Integration
Live in 3 Lines of Code
Agent fires an action
Any framework, any model
MAST Guard intercepts
< 1ms overhead
Policy + MAST analysis
< 400ms total
Allow / Alert / Block / HITL
Automated + human review
Audit record written
Immutable, timestamped
Peer-Reviewed Foundations
Not Another AI Startup Claim.
This Is Published Science.
Why Do Multi-Agent LLM Systems Fail?
Cemri, Pan, Yang et al. — UC Berkeley Sky Computing Lab
The first empirically grounded taxonomy of multi-agent AI failures, built from real execution traces across seven major frameworks. Identifies 14 distinct failure patterns with a detection pipeline achieving 94% accuracy. This is the scientific backbone of MAST Guard's failure detection engine.
Engineering AI Agents for Clinical Workflows
Lopes et al.
A production case study of an AI governance system deployed in real healthcare workflows. Demonstrates that Clean Architecture combined with event-driven Human-in-the-Loop governance produces auditable, reliable AI in high-stakes environments. The HITL model in MAST Guard is directly grounded in this proven pattern.
MAPLE: Memory, Learning & Personalization in Agentic AI
Piskala
Proves that decomposing memory, learning, and personalization into dedicated sub-agents improves AI system reliability by 14.6% over monolithic designs. MAST Guard's modular governance architecture applies this principle — each governance function is an independent, observable component.
“We did not build a product and find research to justify it. We read the research first, then built the only platform that implements it end to end.”
The Landscape
Every Other Tool Watches One Model.
After The Damage Is Done.
| Capability | MAST Guard | Arize AI | Braintrust | Fiddler AI | LangSmith |
|---|---|---|---|---|---|
| Multi-agent monitoring | |||||
| Real-time blocking (pre-action) | |||||
| MAST failure detection (14 modes) | |||||
| Human-in-the-Loop governance | |||||
| Immutable compliance audit trail | |||||
| Auto compliance reports (4 frameworks) | |||||
| HIPAA enterprise tier | |||||
| Cloud-native deployment |
Competitor capabilities assessed from publicly available documentation as of Q1 2026. Subject to change.
Pricing
Governance That Scales With Your Ambition
Starter
For teams exploring AI governance
- Up to 5 AI agents monitored
- Real-time MAST failure detection
- Basic policy rules (up to 10)
- 30-day audit log retention
- Email alerts
- HITL review workflows
- Compliance report generation
Professional
For production AI in regulated industries
- Up to 50 AI agents
- All 14 MAST failure modes detected
- Unlimited policy rules
- Human-in-the-Loop review queue
- GDPR + EU AI Act compliance reports
- 1-year audit retention
- Webhook delivery + Python SDK
- HIPAA enterprise tier
- Dedicated infrastructure
Enterprise
For healthcare, finance, and regulated enterprise
- Unlimited agents
- HIPAA enterprise tier + BAA
- Dedicated cloud infrastructure
- All 4 compliance frameworks (GDPR/HIPAA/EU AI Act/SOX)
- 7-year immutable audit retention
- 99.9% SLA + dual-approval workflows
- White-glove onboarding
- Private Slack channel support
14-day free trial on all plans. No credit card required.
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.
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