Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on Microsoft Marketplace.
Pryvasee.AI: Premiere Pre-LLM Trust & Safety Layer
Built on Trust. Fueled by Blockchain. Powered by AI.
Show the rest of the publisher’s description (27 more lines)
AI is transforming how the world works — but the speed of adoption has outpaced the safeguards needed to use it responsibly. Sensitive business data flows into public models unchecked. Hallucinations go undetected. Audit trails don't exist. And for most SMEs, enterprise-grade protection was never an option.
Pryvasee.AI changes that.
We sit seamlessly between your users and any AI model cleaning, verifying, and protecting every interaction before it ever reaches an LLM. Whether you're a regulated enterprise, a growing SME, or an everyday consumer, Pryvasee.AI gives you the confidence to use generative AI without compromising privacy, compliance, or trust.
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CORE FEATURES
Secure AI Gateway
Every prompt is cleaned, verified, and logged before reaching any LLM. Your data is never exposed raw to a public model.
Stop Data Leaks Early
Real-time scanning of prompts, files, and images for PII, PHI, PCI, and custom-defined sensitive data — with instant options to hide, anonymise, or flag before submission.
Multi-Model Freedom
Compare outputs from OpenAI, Anthropic, Google, Grok, DeepSeek and more | in parallel | and automatically surface the safest, highest-quality response. No more vendor lock-in.
Immutable Audit Trail
Every interaction is written to a tamper-proof blockchain ledger, delivering full transparency and regulator-ready records at all times.
Built-In Content Safety
OCR and image analysis block deepfakes, NSFW content, and sensitive imagery protecting vulnerable users, and your brand reputation.
📊 SME-Ready Security
Logically separated architecture with powerful DSPM-style dashboards that make AI risk visible, manageable, and affordable without needing a dedicated security team.
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USE CASES
✅ Healthcare & Legal: Prevent accidental submission of patient records, case files, or privileged documents into public AI models
✅ Financial Services: Maintain full audit trails for every AI-assisted decision, query, or output
✅ HR & Recruitment: Anonymize CVs, employee data, and salary information before AI processing
✅ Education & Families: Advanced parental controls ensuring safe, age-appropriate AI usage for children
✅ Enterprises & SMEs: Deploy AI across teams with full data governance, without exposing IP or client data
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WHAT MAKES US DIFFERENT
Unlike post-LLM monitoring tools that react after the damage is done, Pryvasee.AI intervenes before data ever leaves your environment. We are model-agnostic, blockchain-anchored, and built from the everyone!
Preview
5 imagesAgent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
5 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.






