WitnessAI: AI Security and Governance Platform
WitnessAI helps security leaders and compliance teams manage the risks of AI adoption. It is designed for organizations that need to identify shadow AI and enforce governance across a workforce of humans and AI agents.
At a glance
- Category
- Security
- Best for
- Enterprise companies, Mid-market companies, CISOs and security leaders, Compliance and GRC teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Securing AI Coding Workflows, Enterprise AI Compliance, Managing AI Agent Governance, Protecting Customer-Facing AI
- Official website
- witness.ai
WitnessAI is an AI security and governance platform designed for enterprise deployment. It operates at the network level, which supports monitoring AI activity without requiring browser extensions or endpoint clients, including coverage for native applications such as Windows Copilot and Office 365.
The platform is designed for CISOs, security operations, and compliance teams. It focuses on observing AI footprints to find unauthorized tools, protecting models from attacks, and controlling usage through policy-based routing and guardrails.
Buyers should confirm if the enterprise-grade feature set aligns with their specific scale and compliance needs.
Key Features
Identifies AI tool usage and agent activity across the network without needing endpoint clients or browser extensions.
Scans the network against a catalog of AI applications to identify undocumented AI usage.
Is designed to block prompt injections and jailbreak attempts before they reach models and filter outputs before they reach users.
Uses ML models to analyze the context and intent of conversations rather than relying on keyword matching.
Supports directing AI requests to specific models based on risk, cost, or purpose, such as routing sensitive queries to internal secure models.
Generates audit trails and reports of AI interactions to help meet regulatory and compliance obligations.
Supports stress-testing AI models against multimodal exploits and attacks prior to production deployment.
Use Cases
Monitoring AI coding assistants and agents to help prevent proprietary source code or secrets from leaving the network.
Using data masking and detailed logging to support industry-specific regulations like PCI DSS 4.0.1.
Tracking the activities of autonomous agents and the external tools or MCP servers they connect to.
Applying content guardrails to help keep chatbot responses on-brand and reduce the risk of harmful content.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
WitnessAI operates at the network level, which allows it to see AI activity across the network without needing browser extensions or endpoint clients.
It is a feature that scans the company network against a catalog of AI applications to identify which unauthorized AI tools employees are using.
Yes, it provides governance logging, data masking, and audit trails to help organizations meet regulations such as PCI DSS 4.0.1.
The platform is designed for security leaders, CISOs, and compliance teams at mid-market and enterprise-level companies.
Source category: Security
Source subcategory: AI Security Platform
