Verifiable Agentic AI Accountability Infrastructure

AI That Acts.
Proof It Can Be Trusted.

There are zero production-ready audit standards for agentic AI in regulated healthcare. VMARAS is the accountability infrastructure that changes that — AI agents that execute compliance workflows with cryptographically verifiable proof of every decision and action.

See It In Action The Problem We Solve
Live demo with real FDA recall data. No signup required.
0
Audit Standards for Agentic AI
300+
FDA Recalls / Year
7yr
DSCSA Retention Required

The Accountability Gap

Agentic AI is entering regulated healthcare — automating clinical workflows, managing supply chains, executing compliance actions. But there are zero production-ready standards for proving what an AI agent did, why it did it, and whether it followed policy. Every regulatory framework assumes a human made the decision.

The Current State
AI agents make autonomous decisions in regulated environments — but produce no verifiable audit trail.
Compliance teams rely on timestamps in logs. Logs can be edited. Auditors know this.
A recalled drug moves through a supply chain spanning 3 countries, 12 warehouses, and 4 ERP systems. The manual response takes days. The documentation takes weeks.
When FDA or a plaintiff's attorney asks "prove what happened" — there is no proof. Only claims.
No audit standard for agentic AI actions
$10K-$500K per regulatory finding
$50K-$5M+ per liability incident
VMARAS Infrastructure
Every AI agent action produces a cryptographically signed receipt — Ed25519 signatures linked in a SHA-256 hash chain.
Policy gates enforce compliance rules before agents can act. Human-in-the-loop authorization for high-risk decisions.
The infrastructure spans detection, orchestration, execution, and verification — purpose-built for regulated industries.
When an auditor, regulator, or attorney asks "prove what happened" — the proof is mathematical.
Tamper-evident proof of every agent action
Policy-gated execution with human oversight
7-year immutable audit chain (DSCSA compliant)

"The question is not whether AI will automate healthcare compliance — it's who provides the accountability infrastructure when it does."

Platform Infrastructure

The accountability layer between AI agents and regulated operations
🧠

Agentic Orchestration

AI agents execute compliance workflows autonomously — triage, matching, quarantine, notification, escalation — following configurable policy playbooks.

🔒

Cryptographic Proof of Execution

Every agent action produces an Ed25519-signed receipt in an append-only SHA-256 hash chain. Tamper-evident, mathematically verifiable, litigation-ready.

🛡

Policy Gates

Compliance rules enforced before agents can act. Human-in-the-loop authorization for high-risk decisions. No autonomous action without policy clearance.

🔍

Real-Time Regulatory Monitoring

Continuous polling of FDA enforcement data. New recalls detected, classified by severity, and matched against organizational inventory within minutes.

📋

Automated Compliance Documents

FDA Form 3911, quarantine notices, chain-of-custody reports, DSCSA transaction records — generated automatically from the evidence chain.

🏢

Multi-Tenant Isolation

Enterprise-grade data isolation, role-based access control, AES-256-GCM encryption, and 7-year immutable retention — built for regulated industries.

How the Infrastructure Works

1

Ingest

VMARAS continuously monitors regulatory data sources — starting with FDA recall databases. Events are ingested, classified by severity, and routed to the agent orchestrator.

2

Orchestrate

AI agents execute compliance workflows — matching regulatory events against organizational data, identifying impact across locations, supply chains, and patient records.

3

Execute with Oversight

Agents act within policy gates: quarantine inventory, notify stakeholders, generate compliance documents. High-risk actions require human authorization. Every step is sealed to the evidence ledger.

4

Prove

A cryptographically signed integrity manifest lets any auditor, regulator, or attorney verify the complete chain of agent actions — with mathematical certainty that nothing was altered.

Watch the Infrastructure Handle a Live Recall

FDA Class II recall — ingested, orchestrated, executed, and sealed with cryptographic proof

Workflow
1
FDA Recall Ingest
2
AI Classification
3
PHI Redaction
4
Compliance Gate
5
Quarantine
6
Audit Seal
  VMARAS v1.0 · Press "Run Simulation" to begin
Audit Chain
📥
Ingest
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🤖
AI
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🔒
PHI
···
🤵
Auth
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Quar.
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Seal
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Where Accountability Infrastructure Matters Most

VMARAS is built for organizations where AI-driven compliance must be provable — not just promised.

🚚
Distributors & Wholesalers
A recalled lot moves through 12 warehouses across 3 countries. Manual response takes days. VMARAS agents match inventory across every warehouse and in-transit shipment, execute ship-stops, generate downstream customer notifications, and seal every action with DSCSA-compliant chain-of-custody proof.
Key compliance: DSCSA, FDA 21 CFR Part 205, state wholesale licensing
🏭
Manufacturers with Foreign Supply Chains
A recalled API from an overseas supplier contaminates production batches already distributed globally. VMARAS agents trace the impact from raw material through finished product to downstream distribution, auto-generate FDA Form 3911, and produce tamper-proof evidence for regulatory response and litigation defense.
Key compliance: FDA 21 CFR Parts 211 & 7, cGMP, DSCSA
🧪
Contract Research Organizations
A recalled drug in an active clinical trial is a protocol deviation and a GCP violation. VMARAS agents match recalls against investigational product inventory at every trial site, identify exposed subjects, auto-generate sponsor and IRB deviation reports, and provide cryptographic proof of data integrity for FDA inspection.
Key compliance: ICH-GCP E6(R2), FDA 21 CFR Part 312, IRB reporting

Why Accountability Infrastructure

Not another alert tool. Not another dashboard. The verifiable layer that makes agentic AI auditable.

1
Proof, Not Logs
Timestamps in a database are not evidence. Ed25519 digital signatures in a SHA-256 hash chain are. Every agent action is cryptographically sealed — the same class of proof used in blockchain, applied to regulatory compliance.
2
Policy-Gated Autonomy
Agents don't act without clearance. Compliance rules are enforced at the infrastructure level — not bolted on after the fact. High-risk decisions require human authorization before execution proceeds.
3
Built for Regulated Scale
Multi-tenant isolation, AES-256-GCM encryption, 7-year immutable retention, role-based access with 2FA. Not startup defaults — regulated-industry requirements, implemented from day one.
4
Recall Automation Is the First Application
Drug recall management is where the infrastructure proves itself — 300+ FDA enforcement actions per year, clear regulatory requirements, measurable outcomes. The platform extends to any compliance workflow where AI agents must be accountable.

See Accountable AI in Action

The live demo runs a real FDA recall through the full infrastructure — ingestion, agent orchestration, policy-gated quarantine, and cryptographic proof chain. No signup required.

Or talk to us about how VMARAS applies to your compliance environment.

See It In Action Contact Sales