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AI Governance
S

Secuvy.ai

Secuvy.ai is an enterprise AI data security, privacy, and governance platform that discovers, classifies, sanitizes, and governs sensitive data before it reaches AI pipelines, LLMs, RAG systems, copilots, and other AI applications.

Starting atCustom enterprise pricing; no public exact price, free tier, self-serve trial, per-seat rate, usage rate, or minimum contract value listed as of 2026-05-26.
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OverviewFeaturesPricingUse CasesLimitationsFAQ

Overview

Secuvy.ai is an enterprise AI data security and governance platform for discovering, classifying, sanitizing, and controlling sensitive data before it reaches LLMs, RAG systems, copilots, and AI pipelines, with enterprise/custom pricing and no public exact prices listed on Secuvy.ai as of 2026-05-26.

Based on the provided website title and tool metadata, its core role is to help companies discover, classify, sanitize, and govern sensitive information before that data is exposed to AI pipelines, large language models, retrieval-augmented generation systems, copilots, and other AI applications. This makes Secuvy.ai most relevant for security, privacy, governance, risk, and data teams that need to reduce the chance of confidential, personal, regulated, or otherwise inappropriate information being sent into AI workflows.

The platform fits into the AI governance and data security layer rather than acting as a general-purpose chatbot, model provider, or AI application builder. Its value is in creating a filtering and governance boundary around enterprise data used by AI. In practical terms, that means the product is aimed at organizations that already have or are planning AI initiatives and need controls around what data can be used, how sensitive content is identified, and how exposure risks are reduced before data reaches LLMs, RAG indexes, copilots, or AI automation systems.

The metadata describes Secuvy.ai as covering several adjacent areas: data security, privacy, data classification, DSPM, LLM security, sensitive data discovery, compliance, and data leakage prevention. That combination suggests a platform designed for enterprise environments where data is spread across multiple repositories and AI usage introduces new paths for leakage. Rather than relying only on user training or policy documents, Secuvy.ai appears focused on operational controls: identifying sensitive data, classifying it, sanitizing it where needed, and applying governance before the data is consumed by AI systems.

Secuvy.ai is especially relevant for companies deploying retrieval-augmented generation, internal copilots, knowledge assistants, AI agents, or model-powered analytics over business data. In those workflows, the quality and safety of the AI output depends heavily on what information is allowed into the AI context. If sensitive personal data, customer records, intellectual property, credentials, contractual material, or regulated content is ingested without controls, the organization may face privacy, security, compliance, and reputational risks. Secuvy.ai addresses that problem by operating upstream of the AI layer, helping teams filter and govern data before it becomes part of prompts, embeddings, retrieval sources, or downstream AI processing.

The product is priced as enterprise software, so it is best understood as a platform for mid-market and large organizations with formal data governance, security, or compliance requirements. It is unlikely to be the right fit for an individual user looking for a simple privacy checker or a small team wanting a lightweight AI productivity tool. Its strongest use case is enterprise AI adoption where legal, privacy, security, and data owners need a defensible process for controlling sensitive data exposure across AI initiatives.

Because the provided website content is limited, some operational details are not visible here, including deployment models, supported data sources, integrations, certifications, pricing ranges, service-level commitments, and exact workflow configuration options. Buyers should validate those details directly with Secuvy.ai during procurement. Still, the available information supports a clear positioning: Secuvy.ai is an AI data security and governance platform built to help organizations use AI more confidently by filtering, classifying, sanitizing, and governing sensitive data before it reaches AI systems.

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Key Features

Sensitive data discovery+

Secuvy.ai is described as discovering sensitive data so organizations can understand what information may pose privacy, security, or compliance risk before it is used in AI workflows.

Data classification+

The platform classifies data, which can help teams distinguish between ordinary business information and sensitive, regulated, confidential, or restricted content.

Data sanitization+

Secuvy.ai is described as sanitizing sensitive data before it reaches AI systems, helping reduce the risk that protected information is included in prompts, retrieval context, embeddings, or AI processing flows.

AI data governance+

The product is positioned in AI governance, helping organizations apply controls to data used by AI applications rather than relying only on policy documents or manual reviews.

LLM and RAG protection+

The metadata specifically identifies LLMs and RAG systems as target environments, making the product relevant for teams building AI assistants over enterprise data.

Data leakage prevention for AI+

Secuvy.ai’s filtering approach is designed to reduce the chance that sensitive data is exposed through AI applications, copilots, or downstream model workflows.

Pricing Plans

Plan 1

Custom enterprise pricing; no public exact price, free tier, self-serve trial, per-seat rate, usage rate, or minimum contract value listed as of 2026-05-26.

    See Full Pricing →Free vs Paid →Is it worth it? →

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    Best Use Cases

    🎯

    Filtering sensitive enterprise data before it is used in LLM prompts, AI pipelines, or model-powered workflows.

    ⚡

    Preparing data for retrieval-augmented generation systems while reducing exposure of confidential, personal, or regulated information.

    🔧

    Adding governance controls to internal copilots or AI assistants that access corporate knowledge bases.

    🚀

    Supporting privacy and compliance programs that need better visibility into sensitive data used by AI applications.

    💡

    Reducing data leakage risk during enterprise AI adoption by classifying and sanitizing data before AI ingestion.

    🔄

    Creating a shared data control layer for security, privacy, compliance, and AI platform teams.

    Limitations & What It Can't Do

    We believe in transparent reviews. Here's what Secuvy.ai doesn't handle well:

    • ⚠Public pricing details are not available in the supplied content.
    • ⚠The supplied website excerpt does not specify supported data sources, SaaS integrations, cloud platforms, or AI model providers.
    • ⚠The provided content does not describe deployment options such as SaaS, private cloud, on-premises, or hybrid.
    • ⚠The supplied content does not include implementation requirements, setup complexity, or time-to-value expectations.
    • ⚠The supplied content does not provide detailed compliance certifications, audit reports, or customer proof points.

    Pros & Cons

    ✓ Pros

    • ✓Focused specifically on the pre-AI data risk problem: discovering, classifying, sanitizing, and governing sensitive data before it reaches LLMs, RAG systems, copilots, or AI pipelines.
    • ✓Relevant to enterprise AI governance programs because it spans data security, privacy, classification, compliance, LLM security, and data leakage prevention rather than addressing only one narrow control.
    • ✓Useful for RAG and copilot deployments where sensitive source data can be unintentionally indexed, retrieved, or included in model context.
    • ✓Enterprise positioning makes it suitable for organizations that need formal privacy, security, and governance workflows around AI adoption.
    • ✓The platform’s data filtering framing is practical for teams trying to operationalize AI policies, not just document them.
    • ✓Can help security and privacy teams collaborate with AI and data teams by creating a shared control layer around sensitive enterprise data.

    ✗ Cons

    • ✗Pricing is enterprise-only in the provided metadata, so public self-serve pricing, entry-level plans, and cost predictability are not available from the supplied content.
    • ✗The provided website content does not include a visible list of supported integrations, data repositories, cloud platforms, or AI systems, so buyers must verify compatibility directly.
    • ✗No implementation timeline, deployment model, or onboarding requirements are provided in the supplied content, which makes operational effort difficult to assess from the listing alone.
    • ✗The available content does not show detailed evidence such as customer case studies, benchmark results, certifications, or compliance mappings.
    • ✗It is likely more platform than point solution, so smaller teams looking for a simple prompt scanner or lightweight data redaction tool may find it more complex than needed.

    Frequently Asked Questions

    What is Secuvy.ai used for?+

    Secuvy.ai is used to discover, classify, sanitize, and govern sensitive enterprise data so it can be used more safely in AI pipelines, LLM applications, RAG systems, copilots, privacy workflows, compliance programs, and security operations.

    Does Secuvy.ai publish pricing?+

    No public list pricing was found on the Secuvy.ai website as of 2026-05-26. The product should be treated as custom enterprise pricing unless Secuvy publishes self-serve tiers.

    How is Secuvy.ai different from basic AI guardrails?+

    Secuvy.ai emphasizes upstream data discovery, contextual classification, and governance at the data layer before information reaches AI systems, while many basic AI guardrail tools focus mainly on prompt inspection, output filtering, or runtime policy checks.

    What kinds of data can Secuvy.ai help protect?+

    Secuvy.ai product materials reference sensitive and regulated data such as PII, PCI, PHI, secrets, CUI, ITAR, intellectual property, source code, contracts, legal documents, financial models, and internal strategy materials.

    Who is Secuvy.ai best suited for?+

    Secuvy.ai is best suited for mid-market and enterprise organizations with regulated data, complex data estates, AI adoption programs, privacy obligations, security posture requirements, or data governance needs across cloud and on-premises environments.
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    What's New in 2026

    The supplied website content does not include a dated 2026 product announcement, release note, changelog, or newly launched feature. Based only on the provided content, the current positioning emphasizes an AI Data Filtering Platform for Confident AI, with focus on discovering, classifying, sanitizing, and governing sensitive data before it reaches AI pipelines, LLMs, RAG systems, copilots, and other AI applications.

    User Reviews

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    Quick Info

    Category

    AI Governance

    Website

    secuvy.ai/
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