Security stops at generation
DLP and access controls protect data and prompts. They do not verify the factual integrity of the model’s response.
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The Industry Standard for AI Output Verification
Catch hallucinations before your AI generates them
VarsaAI runs inside the AI tools your team already uses and checks every claim, references every source, and traces every output. Built on MCP, it delivers sentence-level citations and a complete audit of AI-generated work across your entire workforce, in one governed view.
Every claim checked. Every source connected.MODEL-AGNOSTIC / MCP-NATIVE
Trusted Partner to the Regulated Industry
The Accountability Gap
Your AI stack protects the input. Who is accountable for the output?
Security tools protect what goes into AI. Governance tools set policies around how it's used. But verifying AI-generated factual claims is still largely manual, inconsistent, and difficult to audit.
1,000,000+
The average 1,000-employee company generates 1M AI outputs every year.
Your AI innovation leaves you exposed
Your workforce is publishing AI-generated claims every day, and you can’t prove a single one of them.
Review is fragmented
Sources, edits, exceptions, and approvals live across chats, documents, inboxes, and teams—with no complete chain of custody.
Accountability reaches the top
When records are missing, CISOs and AI-governance leaders cannot demonstrate effective oversight to boards or regulators.
The Verification Layer
Built for teams where a wrong claim has consequences.
VarsaAI connects to the AI systems your workforce already uses, verifies each generated claim, and preserves the evidence required for enterprise oversight.
See Industry Outcomes →Model-agnostic · Connects via MCP
Claude
ChatGPT
Microsoft Copilot
Gemini
Perplexity
Internal models
MCP / API→
VarsaAI control layer
AI Output Verification
VeriCore™Claim-level verdicts
VeriRef™Source linkage
Claims LibraryReusable evidence
Signed RecordsEd25519 receipts
Governed evidence→
Enterprise control
Per-claim verdicts
Human sign-off
Leadership view
JSON / CSV export
Traceable records
Verify every claim
Decompose outputs and compare each factual statement with approved or authoritative sources.
Link every source
Attach sentence-level evidence so reviewers can inspect the basis of a response immediately.
Record every decision
Preserve prompts, models, verdicts, edits, exceptions, approvals, and cryptographically signed receipts.
See enterprise-wide risk
Give authorized leadership one view of verification coverage and unresolved exposure across the workforce.
Executive Accountability
Could you defend every material AI output your employees produce today?
Governance That Operates
Built for Your Existing Frameworks
VarsaAI operationalizes oversight at the point where risk becomes real: the output. Leadership gains the documentation, logs, and evidence needed to prove oversight to boards, auditors and regulators.
EU AI Act
Supports technical documentation, record-keeping, logging, and deployer oversight obligations.
NIST AI RMF
Creates continuous evidence across Govern, Map, Measure, and Manage activities.
Board reporting
Surfaces coverage, exceptions, review status, and accountability without relying on self-reported policy adherence.
Regulatory response
Exports structured evidence showing what was generated, checked, sourced, changed, and approved.
Operational Evidence
Relied on by regulated enterprises today.
VarsaAI turns AI from an untraceable risk into output you can trace and defend
Regeneron80%+
“More than 80% of generated medical claims delivered with traceable evidence.”
Global IT Lead
Ipsen75% less checking
“75% less repetitive manual checking, with the evidence available at the point of review.”
Chief AI Officer
Our Security Posture
Built to verify sensitive AI output without compromising the data behind it.
VarsaAI applies the same standard of governance to its own platform that it enables for customers.
ISO 27001
CertifiedInformation security management
ISO 9000
CertifiedQuality management standards
ISO/IEC 42001
CertifiedAI management system
EU AI Act
CompliantResponsible AI controls
GDPR
CompliantData protection and privacy
✓ No customer data used for model training✓ Private Azure deployment✓ Encrypted at rest and in transit✓ Least-privilege access controls✓ $4M cyber insurance✓ Anthropic partner
Enterprise FAQ
What security and governance leaders ask before deployment.
Direct answers on data handling, integration, evidence, compliance, and operating control.
Does VarsaAI use customer data to train AI models?
No. Customer data is never used to train VarsaAI or third-party models. It remains isolated to the customer environment and the verification task it was supplied for.
How is customer data protected?
Customer data is encrypted at rest and in transit, hosted in Private Azure environments, and governed through least-privilege access controls.
Which AI models does VarsaAI work with?
VarsaAI is model-agnostic. It connects to Claude, ChatGPT, Microsoft Copilot, Gemini, internal models, and other compatible AI systems through MCP or API.
What does VarsaAI verify?
VarsaAI decomposes an AI response into claims, checks each claim against approved or authoritative sources, returns a verdict, and links every supported claim to its evidence.
Can people review or approve outputs?
Yes. Human sign-off is built into the evidence workflow, so accountable reviewers can assess exceptions and record approval decisions before output is used.
What evidence can we provide to auditors or regulators?
VarsaAI records prompts, sources, claim-level verdicts, model activity, edits, reviewer decisions, and signed receipts. Records can be exported in JSON or CSV.
Does VarsaAI make our organization compliant?
No single technology can guarantee organizational compliance. VarsaAI provides traceability, records, and evidence that support obligations under frameworks including the EU AI Act, GDPR, and NIST AI RMF.
How is this different from an AI security or input-control platform?
Input controls govern what enters an AI system. VarsaAI governs what comes out by verifying generated claims, connecting them to sources, and preserving the evidence behind every output.
How quickly can VarsaAI be deployed?
A typical enterprise program moves from secure scoping to connection in weeks, then through controlled evidence validation and workforce scale. Exact timing depends on systems, data sources, and governance requirements.
Can leadership see AI activity across the workforce?
Yes. Authorized leaders receive a consolidated view of verification activity, risk signals, evidence coverage, exceptions, and review status across teams and AI systems.
Close the Verification Gap
Make every AI output verified, traceable, and defensible
Establish the control layer your AI security infrastructure is missing.