GenAI data-leak prevention & privacy

WitnessAI: AI activity control and data protection platform

WitnessAI is an AI activity control and data protection platform from WitnessAI. It is a commercial product offered as: SaaS. Pricing model: not published.

  • Last reviewed

Best for

  • Enterprises that want network-level visibility and policy control over employee and agent AI use without installing browser extensions or endpoint clients
  • Teams that want shadow AI discovery, data redaction and an approved list of MCP servers for agents from one vendor

Consider instead if

  • You want controls inside the browser and on the endpoint, with coaching at the moment someone pastes data. See Harmonic.
  • You run Microsoft 365 and want AI prompt DLP in Purview, with prompts and responses kept in the unified audit log. See Purview DSPM for AI.

What WitnessAI does

WitnessAI watches AI use from the network rather than from each device. The vendor says it sees AI activity without browser extensions or endpoint clients, and its AWS Marketplace listing describes a single-tenant SaaS on AWS. That makes it the counterpart to Harmonic Security, which installs an extension and a desktop agent. One platform covers several jobs: Observe catalogs AI apps and MCP servers, Control applies rules by team or purpose and keeps audit trails, Protect redacts or tokenizes sensitive data, and an Attack module adds automated red teaming. Agent rules are enforced at the network as well, with an audit record for every blocked tool call. We found no public documentation, release notes or prices, so how traffic reaches WitnessAI, and what a device off the corporate network looks like, are questions for a demo.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Latest release
Not documented in the sources we checked
Pricing model
Not published in the sources we checked Source, checked October 21, 2026: witness.ai (opens in a new tab)
Documentation
Not documented in the sources we checked
API reference
Not documented in the sources we checked
Quickstart
Not documented in the sources we checked
Security page
Not documented in the sources we checked
Attestations or disclosure
Completed a SOC 2 Type II audit Source, checked October 21, 2026: witness.ai (opens in a new tab)

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where WitnessAI fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that WitnessAI covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L5 Data Data protection Primary Keep sensitive data out of prompts, uploads, retrieval and training data, or remove and tokenize it first. Follows its category, GenAI data-leak prevention & privacy
L2 Discovery Discovery and posture Also covers Documents a catalog of the AI apps and MCP servers in use. Discovers AI use across employees and agents and catalogs AI applications and MCP servers; Sees AI activity across the network without browser extensions or endpoint clients
L7 Agent access Agent and tool access Also covers Documents enforcement of approved MCP servers and tools. Sets rules by team, job function and purpose, and enforces approved MCP servers and tools; Enforces organization-level bans on MCP servers and tools at the network for every agent, with an audit record for each blocked call

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

OWASP LLM risks mapped to WitnessAI, with the capabilities each mapping rests on
RiskHow it appliesBased on
LLM02 Sensitive Information Disclosure Redacts or tokenizes sensitive data in real time before it reaches an AI service. Redacts sensitive data in real time; Tokenizes sensitive information as part of its guardrails
LLM06 Excessive Agency Control enforces approved MCP servers and tools for employees and agents. Sets rules by team, job function and purpose, and enforces approved MCP servers and tools; Enforces organization-level bans on MCP servers and tools at the network for every agent, with an audit record for each blocked call

Alternatives and related tools

More in GenAI data-leak prevention & privacy, ranked within the category by Coverage Score.

Protecto

Protecto

Commercial
  • SaaS
  • On-prem
  • API

Detects sensitive data and tokenizes or masks it before it reaches LLMs, RAG pipelines and agents.

Best for: Teams that want an API that tokenizes or masks sensitive data before it reaches LLMs and RAG pipelines and restores it afterwards

Coverage Score 70 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM08 Vector and Embedding Weaknesses

Reviewed

Presidio

Data Privacy Stack

Open sourceMIT
  • Library
  • Self-hosted

Finds and masks personal data in text, images and structured data, and you run it yourself.

Best for: Engineering teams that want a free, self-hosted library to detect and anonymize PII before text reaches a model or a log

Coverage Score 67 out of 100
  • LLM02 Sensitive Information Disclosure

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Commercial Freemium Now Limina
  • Self-hosted
  • On-prem
  • API

Detects PII, PHI and PCI in text, files, images and audio in a container you run in your own environment.

Best for: Teams that need PII, PHI and PCI de-identification of text, files and audio that runs inside their own VPC or on-premises

Coverage Score 64 out of 100
  • LLM02 Sensitive Information Disclosure

Reviewed

WitnessAI FAQ

Is WitnessAI open source?

No. WitnessAI is a commercial platform, and we found no public source repository for it.

Does WitnessAI need a browser extension?

The vendor's solutions page says it gives visibility across the network without relying on browser extensions or endpoint clients.

How much does WitnessAI cost?

We found no pricing page on the vendor's own site, only a Book a Demo button, so pricing is not published.

How does WitnessAI govern AI agents?

The solutions page says it enforces an approved list of MCP servers and tools, applies organization-level bans at the network for every agent, and writes an audit record for each blocked tool call. Because enforcement sits on the network, agents that run off it would need another control; the vendor pages we read do not cover that case.

Key facts you can cite

We have no commercial relationship with WitnessAI.

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.