Secuvy
Procurement partnerAbout
Secuvy is an AI data readiness platform that discovers, classifies, and governs enterprise unstructured data before it reaches AI pipelines. The platform uses a self-learning engine to find and tag sensitive data including PII, IP, CUI, and PHI across 250+ data sources without moving or altering files. It produces a verifiable Data Bill of Materials (DBOM) for every AI pipeline, giving CISOs, CIOs, and AI leaders auditable proof of what data fed each model and what was held out.
Details
VenSearch Intelligence
Ideal Customer
- Secuvy explicitly targets large enterprises and Fortune 1000 companies, describing itself as software 'built for large enterprises to leverage their regulated data securely.' Its sweet spot is organizations with complex, multi-cloud or hybrid data environments that need to govern sensitive unstructured data at petabyte scale for AI pipelines.
- G2 reviewer data shows usage across small businesses, mid-market, and enterprise (1,000+ employee) companies, with the platform most valuable for organizations in regulated industries that have outgrown first-generation privacy and compliance tools and need automated, continuous classification without manual rule-writing.
Key Differentiators
- Secuvy's primary differentiator is its self-learning, unsupervised AI classification engine that reads content and context rather than relying on predefined patterns, regex, or rule sets — enabling detection of non-pattern sensitive data such as IP, source code, CAD files, and contracts that pattern-based tools miss.
- The company claims 99.9% classification accuracy and time-to-value four times faster than competitors, with manual classification effort reduced by up to 90%.
Industries Served
- Secuvy primarily serves large enterprises in healthcare, financial services, and commerce, and explicitly targets complex regulated industries.
- Its GovernAI Suite is specifically called out as ideal for healthcare, finance, and life sciences.
Service Coverage
- Secuvy is headquartered in Pleasanton, California (Silicon Valley area) and operates globally.
- The platform supports deployment in over 45 countries, with Fortune 1000 customers across healthcare, commerce, and finance worldwide.
Partnerships
- Secuvy has a significant and growing partner ecosystem.
- Its most strategic technology partnership is with Hammerspace, with whom it jointly delivers the AI Data Platform (AIDP) built on NVIDIA's reference design; this partnership expanded to an exclusive Asia-Pacific arrangement in May 2026.
Company Size & Ownership
- Secuvy was founded in 2019 in San Ramon, California by Vaibhav Mehrotra (CEO) and Prashant Sharma (CTO).
- The company currently has approximately 43–45 employees as of mid-2026, representing roughly 45% year-over-year headcount growth.
Compliance & Certifications
- Secuvy achieved SOC 2 Type II certification in December 2023 following an independent third-party audit validating its security, availability, and confidentiality controls against SSAE 21 criteria.
- Its platform helps customers comply with a broad range of regulatory frameworks including GDPR, HIPAA, PCI DSS, CCPA, SOC, ISO 42001, the EU AI Act, and the NIST Risk Management Framework (RMF).
Compiled from public sources by VenSearch · Last researched October 14, 2026
Offerings
8 offeringsAI Data Platform (AIDP)
Secuvy serves as the data control layer in front of the Hammerspace AI Data Platform built on NVIDIA's reference design, discovering, classifying, and governing every source so only appropriate data reaches GPUs. Where Hammerspace moves enterprise data to accelerated compute at scale, Secuvy decides what belongs in the pipe using its self-learning filtering engine, contextual data linkage, and non-pattern classification. The result is a verifiable DBOM proving that only the right data fueled each model, making the AIDP investment defensible.
AI Data Prep
Secuvy automates the AI data preparation process by connecting to 250+ sources and learning what every file is without requiring rule sets, replacing months of manual classification work with continuous automated discovery and tagging that delivers first results within 24 hours. The platform reduces hand classification by up to 90%, and each pipeline's Data Bill of Materials fills in automatically as data is classified, recording what went in, what stayed out, and the reason for each choice. The prep runs continuously so it never becomes a recurring project.
AI Inference
Secuvy connects as an MCP server between enterprise LLM tools such as ChatGPT, Microsoft Copilot, Claude, and Gemini and a company's data, screening every prompt before it leaves the environment. It can monitor and log AI usage, block high-risk prompts or files, mask sensitive fields, or redact sensitive content while letting the rest through, all based on a single policy set once that applies across all supported models. The inference control layer is powered by Secuvy's underlying data classification, meaning it recognizes sensitive content in context rather than by regex patterns.
Discovery & Classification
Secuvy continuously discovers and classifies files across 250+ supported data sources where they already live, using a self-learning unsupervised engine that reads content and context rather than relying on predefined patterns or rule sets. It detects non-pattern sensitive data such as IP, source code, CAD files, contracts, and research that pattern-based tools miss, and every confirmation from a user's team makes the classifier sharper. New and changed files are re-checked automatically so coverage never falls behind the data.
Governance, Risk & Compliance
Secuvy builds a Data Bill of Materials (DBOM) for every AI pipeline that records what data fed it, what was held out, and why, providing evidence that updates continuously as data and policy decisions change. Compliance teams can map this evidence to the frameworks they answer to, and the DBOM is ready before a regulator, auditor, or board asks the question. The record reflects pipelines as they operate today rather than as of the last scheduled review.
RAG
Secuvy classifies and tags every source document before it is embedded into a RAG pipeline's vector store, ensuring only policy-approved data enters the index and retrieval never surfaces sensitive content that should have been held out. When source files change, Secuvy re-classifies them automatically and the index updates against the current classification so the corpus stays clean over time. Every pipeline carries a Data Bill of Materials recording what retrieval could draw on and what was held out.
Secuvy Platform
The core Secuvy platform connects to enterprise data sources, discovers and classifies every unstructured file in context by sensitivity and policy, and tags only appropriate data for each AI pipeline. It supports 250+ data sources, can be deployed air-gapped, in a VPC, or as SaaS, and is up and running in under one hour with first results in under 24 hours. Every classification decision is recorded in a verifiable Data Bill of Materials without moving or altering any files.
Sovereign Data
Secuvy classifies enterprise data by sensitivity, jurisdiction, and what a model would absorb, then tags only what each pipeline is allowed to use under the organization's sovereignty and residency policies. The platform shows exactly what is safe to share, what must stay in its region, and what constitutes proprietary company knowledge, and produces a continuously updated Data Bill of Materials proving that controlled data remained in its required jurisdiction. Files are classified in place and nothing Secuvy learns from an organization's data ever leaves its environment.
Considering Secuvy?
Our team will work with you to determine if Secuvy is the right fit for your organization. From research and assessment through procurement negotiation and ongoing vendor management — we handle the entire process at no cost to you.