WitnessAI
Also known as: Witness Protect
AI security and governance platform running inline at the network layer: intent-based policies route, block or redact AI prompts and responses, agents are governed at the tool call and MCP server level, agent state and execution commands are captured at runtime and tied to a human identity, and Witness Attack red-teams the customer's models before production. Single-tenant SaaS, also sold on AWS Marketplace.
WitnessAI is an AI security and governance platform that observes, controls and protects how employees, applications and agents use AI. It runs inline at the network layer, without endpoint clients or browser extensions, and applies intent-based policies that classify the meaning of each prompt instead of matching keywords. Observe detects AI apps against a catalog of more than 4,000 and shows which agents are running and what external tools they connect to.
Control routes, blocks or redacts prompts and responses by policy, customized per department, role or use case, and governs agents at the tool call and MCP server level with allow lists of approved MCP servers and tools; the MCP Catalog, released in June 2026, scores known tools against OWASP and CVE risk classes. Since January 2026 the platform captures agent state and execution commands at runtime and ties each agent action to a human identity, and every blocked tool call produces an audit record naming the user, agent, tool and rule.
Protect adds bidirectional runtime protection against prompt injection and jailbreaks, sold as the WitnessProtect model protection guardrail, and Witness Attack runs automated red teaming against the customer's models before production. The platform is single-tenant with customer-controlled encryption and is delivered as SaaS.
Vendor details
Canonical URL
https://witness.ai
Category
Security / SOC agent
Funding status
Independent; a $58M round in January 2026 led by Sound Ventures with Fin Capital, Qualcomm Ventures, Samsung Ventures and Forgepoint Capital Partners, after a $27.5M Series A in May 2024 co-led by Google Ventures and Ballistic Ventures (company release).
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Runs inline at the network layer through connectors for Zscaler, Palo Alto Networks, Netskope, Fortinet and F5, with no endpoint client or browser extension, and integrates with SIEM and XDR tools. Covers browser AI apps, Windows 11 Copilot, Office 365 and other desktop AI apps, coding tools such as GitHub Copilot and Cursor, custom cloud agents and agentic IDEs, with enforcement at the tool call and MCP server level. The datasheet lists an API for connecting analytics and security systems; the documentation portal is password protected.
In practice
A security team does not know which AI apps and agents employees are using or what tools those agents reach. WitnessAI's Observe detects AI apps against a catalog of more than 4,000 and shows which agents are running and which external tools they connect to.
A company wants employees to use AI without sensitive data leaving in prompts. WitnessAI inspects every prompt and response inline at the network layer and blocks, redacts or routes them by policy, sending sensitive queries to secure internal models.
A team building its own AI wants it tested before launch. Witness Attack red teams the customer's models with prompt injection, jailbreaks across several steps and multimodal exploits before production.
Sources & related URLs
Research sources
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Full |
|---|---|
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Named network connectors cover Zscaler, Palo Alto Networks, Netskope, Fortinet and F5, alongside SIEM and XDR integration. Coverage extends to Windows 11 Copilot, Office 365 and other desktop AI apps, and enforcement works at the tool call and MCP server level, with an MCP Catalog that scores known tools. Sourcewitness.ai/wp-content/uploads/2025/05/wit-secure-ai-enablement-platform-op.pdfread 2026-09-28 |
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| Workflow Orchestration | Partial |
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WitnessAI runs a fixed pipeline over the customer's AI traffic that intercepts, analyzes and enforces. It ships no agents of its own, and customers do not configure flows across several agents. Sourcewitness.ai/controlread 2026-09-28 |
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| Knowledge Grounding & RAG | Partial |
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Observe detects AI apps against a catalog of 4,000+ and shows which agents are running and what external tools they connect to, and the MCP Catalog scores known tools against OWASP and CVE risk classes. That is a named inventory plus WitnessAI's own knowledge, with no retrieval structure over the customer's estate for its agents. Sourcewitness.ai/observeread 2026-09-28 |
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| Human Oversight & Guardrails | Partial |
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Policies route, block or redact prompts and responses, and allow lists of approved MCP servers and tools are enforced at the tool call and MCP server level. There is no step to approve or confirm an agent's action before it commits. Sourcewitness.ai/controlread 2026-09-28 |
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| Security, Identity & Governance | Full |
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SOC 2 Type I and Type II badges sit in the footer, and the datasheet names Role Based Access Control, with a VIP privacy mode governing who can see executive conversations. WitnessAI does not say whether it supports SSO, and its documentation portal is password protected. Sourcewitness.ai/wp-content/uploads/2025/05/wit-secure-ai-enablement-platform-op.pdfread 2026-09-28 |
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| Observability & Auditability | Full |
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Agent state and execution commands are captured at runtime, and every agent action maps to a human identity. Every blocked tool call generates an audit record that names the user and agent along with the tool and rule, and prompts, responses and agentic activity are visualized for each interaction. The result is a record of each tool call the customer's agents make. Sourcewitness.ai/resources/witnessai-raises-58-million-for-global-expansion-and-announces-new-ways-to-secure-ai-agentsread 2026-09-28 |
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| Memory & State Persistence | Not documented |
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There is no agent memory with a scope and lifetime. The agent and MCP inventory is a catalog of what runs, and the conversation and execution record is an audit trail, so neither is memory the agents keep. Sourcewitness.ai/observeread 2026-09-28 |
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| Deployment & Data Residency | Partial |
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Single tenant isolation and customer controlled encryption are offered, with "multi-region deployment" but no named region, customer environment or way to choose. The AWS Marketplace listing gives SaaS delivery, and WitnessAI describes no on premises, cloud sandbox or VPC option. The documentation portal is password protected. Sourcewitness.ai/productread 2026-09-28 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Customers assemble policies for each department and role, and the MCP Catalog is vendor reference data for building allow lists. No catalog of prebuilt policies or agents is published. Sourcewitness.ai/controlread 2026-09-28 |
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| Triggers & Channel Coverage | Full |
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Enforcement runs inline on every prompt, response and tool call crossing the network, without a user launching it, so each interaction's arrival starts the work. Sourcewitness.ai/controlread 2026-09-28 |
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| Model Flexibility & Routing | Partial |
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Admins set a routing policy, which WitnessAI pitches as "Route AI requests from employees and agents based on risk, cost, and purpose. Direct sensitive queries to secure internal models." No model list, named provider or selection surface is shown, and the documentation portal is password protected. Sourcewitness.ai/productread 2026-09-28 |
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| APIs, SDKs & MCP Extensibility | Partial |
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The datasheet lists API integration to connect to existing analytics and security systems, but no API reference or coverage can be read, because docs.witness.ai is password protected. The portal exists, but what it covers is not public. Sourcewitness.ai/wp-content/uploads/2025/05/wit-secure-ai-enablement-platform-op.pdfread 2026-09-28 |
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| Testing, Debugging & Optimization | Full |
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Witness Attack runs automated red teaming against the customer's models before production deployment, including prompt injection, multi-step jailbreaks and multimodal exploits, so the customer's own AI is tested before it ships. The stated targets are models; red teaming of agents is not mentioned. Sourcewitness.ai/protectread 2026-09-28 |
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| Browser & Computer Use | Not documented |
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Coverage of Windows 11 Copilot, Office 365 and desktop AI apps is monitoring of other applications, not an agent using a browser or a computer. Sourcewitness.ai/productread 2026-09-28 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
AWS Marketplace: 12-month contract for WitnessAI Agentic Visibility at $24 per agent per year with a 2,500-agent minimum ($60,000 a year, about $5,000 a month).
Per user and per agent on annual 12-month contracts, with a flat WitnessProtect contract and a usage dimension for true-ups, on AWS Marketplace.
What is public
The AWS Marketplace listing publishes three 12-month contract dimensions (WitnessAI for Enterprise at $180 per user with a 1,000-user minimum, Agentic Visibility at $24 per agent with a 2,500-agent minimum, and WitnessProtect at $300,000) plus a $0.01 usage dimension for true-ups; the vendor site shows no prices.
Variable cost rationale
Cost scales with the users and agents under governance, and the listing carries a usage dimension for true-ups above the committed contract.
Sales call required
Mixed (some tiers require a call)
Free / trial
Not published
Lowest paid plan
WitnessAI Agentic Visibility, 12-month contract, $24 per agent with a 2,500-agent minimum ($60,000 a year, AWS Marketplace).
Key ambiguities
The unit behind the $0.01 true-up dimension and whether private offers change the listed rates are not stated.
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Alternatives to WitnessAI
The closest documented capability profiles to WitnessAI among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- HiddenLayer9.0 / 14Fuller documented coverage on Deployment & Data Residency and APIs, SDKs & MCP Extensibility
- Lasso Security7.0 / 14A lighter documented profile than WitnessAI
- Mindgard8.0 / 14Fuller documented coverage on APIs, SDKs & MCP Extensibility
- Arctic Wolf9.5 / 14Fuller documented coverage on Workflow Orchestration and Human Oversight & Guardrails
- DeepKeep8.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Deployment & Data Residency
- Operant AI7.5 / 14Fuller documented coverage on Deployment & Data Residency
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded