WitnessAI
Also known as: WitnessAI, Witness AI, witness.ai, Witness Protect
Unified AI security and governance platform applying intent-based behavioral controls at the network layer: analyzes the meaning behind each prompt to block multi-turn attacks and contextual jailbreaks, monitors which agents are active and what MCP servers, tools, and data they touch, and connects human and agentic identities for explainable agent actions across both workforces. Deploys on-premise, in a cloud sandbox, or in a VPC. Over $85M raised (Sound Ventures, GV, Qualcomm, Samsung), 500% ARR growth, and production customers among the largest public enterprises.
WitnessAI is a unified AI security and governance platform that secures every AI interaction across employees, models, applications, and autonomous agents. Rather than pattern-matching for known malicious strings, the platform applies intent-based behavioral controls: it analyzes the meaning and purpose behind each prompt to catch sophisticated multi-turn attacks and contextual jailbreaks before they reach models or agents. It sits at the infrastructure layer between users and AI systems, intercepting interactions at the network level, which means any agent deployed in the corporate network, homegrown or SaaS, is automatically visible to the security team. Its agentic AI governance capabilities, expanded in January 2026, secure agents in two ways: monitoring which agents are active, what MCP servers and tools they access, and what data they share, while connecting human and agentic identities and capturing the evolving decision-making context, including agent state and execution commands at runtime, to provide explainability for agent actions; and extending AI application protection from models to agents, blocking attacks and malicious prompts before they arrive. Witness Protect covers B2C chatbot protection against prompt injection and unauthorized LLM outputs. The platform deploys as security microservices on-premise, in a cloud sandbox, or within a VPC, spanning cloud and edge. A leading pure-play AI security and governance vendor, WitnessAI grew ARR over 500% in the trailing year with production customers among the largest publicly held enterprises in financial services, utilities, automotive, airlines, retail, and telecom. Within the AI-agent-security cluster of independents, WitnessAI is the network-layer entrant: it derives its coverage from running in the network rather than from gateways, hooks, or in-cluster installs, and is distinguished by connecting human and agentic identities into one observability plane across both workforces.
Vendor details
Canonical URL
https://witness.ai
Category
Security / SOC agent
Funding status
Independent Mountain View company founded 2023, incubated by Ballistic Ventures; co-founded by Rick Caccia (CEO, two decades at Palo Alto Networks, Google Cloud Security, and Exabeam) and Gil Spencer (CTO); $27.5M Series A May 2024 co-led by Google Ventures and Ballistic Ventures, then $58M strategic round Jan 2026 led by Sound Ventures with Fin Capital, Qualcomm Ventures, Samsung Ventures, and Forgepoint Capital, bringing total raised past $85M; over 500% ARR growth and 5x headcount growth in the trailing 12 months; Fortune Cyber60, SC Awards finalist, and 2025 IDC Innovators for Security for Agentic AI
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Sits at the infrastructure layer between users and AI models, intercepting AI interactions at the network level so every agent deployed in the corporate network is seen without per-application integrations, whether homegrown or SaaS. Monitors which agents are active, what MCP servers and tools they access, and what data they share, connecting human and agentic identities. Covers employee AI usage, native applications, enterprise models, and B2C chatbots (Witness Protect), with MSSP-ready offerings in development.
Sources & related URLs
Research sources
Capability coverage
8.5 / 14 capabilities · 61%
| Integrations & Tool CallingNetwork-level interception covers every agent in the corporate environment without per-application integrations, homegrown or SaaS, and monitors agents' MCP server and tool connections; covers employees, native applications, models, and B2C chatbots, WitnessAI materials and BankInfoSecurity 2026-07-22 | Full |
|---|---|
| Workflow OrchestrationRuns a continuous intercept-analyze-enforce pipeline at the network layer, applying intent-based behavioral analysis to every AI interaction and autonomously blocking multi-turn and prompt-injection attacks before they reach models or agents, WitnessAI press release and SecurityWeek 2026-07-22 | Full |
| Knowledge Grounding & RAGIntent analysis grounds decisions on the meaning and purpose behind each prompt and the evolving decision-making context of agents; not a general knowledge or RAG platform, appsecsanta review and WitnessAI materials 2026-07-22 | Partial |
| Human Oversight & GuardrailsPolicy control based on behavioral intent configured by security teams against their compliance requirements; enforcement itself runs inline and autonomously, WitnessAI materials and Axios 2026-07-22 | Partial |
| Security, Identity & GovernanceSecurity and governance is the product: connects human and agentic identities, enforces and compliance-driven policy over what data flows into AI tools, and governs non-human identities across the enterprise, WitnessAI materials and Axios 2026-07-22 | Full |
| Observability & AuditabilityVisibility into every AI interaction with shadow-agent discovery via network presence, observability across human and agentic workforces, and explainability for agent actions from captured decision-making context, WitnessAI press release 2026-07-22 | Full |
| Memory & State PersistenceCaptures and retains the evolving decision-making context of agents, including agent state and execution commands at runtime, enabling multi-turn attack detection and action explainability, WitnessAI press release 2026-07-22 | Partial |
| Deployment & Data ResidencyDeploys as security microservices on-premise, in a cloud sandbox, or within a VPC, running inside the corporate network and spanning cloud and edge environments, CB Insights analyst briefing data and WitnessAI materials 2026-07-22 | Full |
| Prebuilt Agents, Templates & PacksProductized offerings for distinct surfaces, including Witness Protect for B2C chatbot protection and packaged governance capabilities, with MSSP-ready offerings in development, BankInfoSecurity and WitnessAI materials 2026-07-22 | Partial |
| Triggers & Channel CoverageContinuous real-time interception and monitoring of all AI interactions at the network layer, capturing agent state and execution commands at runtime across cloud and edge, WitnessAI press release 2026-07-22 | Full |
| Model Flexibility & RoutingNo customer-facing model choice or routing; WitnessAI sits between users and models and secures traffic to whatever models are in use rather than serving or routing them, WitnessAI materials 2026-07-22 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityMonitors agents' MCP server and tool connections as a first-class capability; a public API or SDK surface for extending the platform was not retrieved, WitnessAI press release 2026-07-22 | Partial |
| Testing, Debugging & OptimizationNo red-teaming, adversarial-testing, or agent-evaluation product retrieved; WitnessAI's coverage is monitoring and enforcement rather than testing, WitnessAI materials 2026-07-22 | Unable to verify |
| Browser & Computer UseNo browser or computer-use capability documented; WitnessAI operates at the network and policy layer, WitnessAI materials 2026-07-22 | Unable to verify |
Pricing
Contact sales
scope of AI interactions, users, and agents governed across the enterprise network
What is public
The platform capabilities (intent-based behavioral controls, agent and MCP monitoring, human-agentic identity connection, Witness Protect for B2C chatbots) and deployment options (on-premise, cloud sandbox, VPC) are public; no plans, tiers, or dollar amounts are disclosed.
Variable cost rationale
Cost scales with the volume of AI usage under governance: employees, agents, applications, and interactions monitored and enforced, growing as enterprise AI adoption expands.
Sales call required
Yes — required for paid access
Free / trial
Not published
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