WitnessAI is a Guardrails / LLM Firewall vendor based in Mountain View, California, USA. Its flagship product is WitnessAI Secure AI Enablement Platform (Observe, Protect, Control). Against the OWASP LLM Top 10 (2025) we score it Covered on 3 of 10 risks, Partial on 3, with 6 MITRE ATLAS techniques mapped as of . It's independent.
- 3/10
- Risks covered
- 3
- Partial
- 6
- ATLAS techniques
- Over $85M
- Funding
- Active
- Status
At a glance
- Category
- Guardrails / LLM Firewall
- Headquarters
- Mountain View, California, USA
- Founded
- 2023
- Employees
- Undisclosed
- Flagship product
- WitnessAI Secure AI Enablement Platform (Observe, Protect, Control)
- Deployment
- Single-tenant environment with data sovereignty (proxy/gateway model)
- Best for
- Enterprises needing an inline AI firewall to discover shadow AI/MCP servers, enforce policy, redact sensitive data, and block prompt injection/jailbreaks across employee and agent usage
- Funding to date
- Over $85M
- Last round
- $58M strategic round · 2026-01
- Status
- Active
Facts as of .
What does WitnessAI do?
Sits between employees and their AI tools, watching and controlling what enterprise LLMs and agents are allowed to do. It ships as Single-tenant environment with data sovereignty (proxy/gateway model), and it's built for enterprises needing an inline AI firewall to discover shadow AI/MCP servers, enforce policy, redact sensitive data, and block prompt injection/jailbreaks across employee and agent usage. It's a weaker fit for teams wanting a pre-deployment red-teaming/eval tool or a formal GRC/model-risk documentation platform.
Which OWASP LLM Top 10 risks does WitnessAI cover?
WitnessAI's strongest verdict is LLM01Prompt Injection. The two tables below come from our editorial read of WitnessAI's public documentation as of (it's what the docs support, not a hands-on lab test), and this row also sits in the full matrix across all 21 vendors.
| OWASP LLM Risk | What it is | WitnessAI coverage | How it's addressed | Source |
|---|---|---|---|---|
| LLM01 Prompt Injection | User or hidden input overrides the model's rules or intended behavior. | Covered | Protect module blocks prompt injections at runtime. | https://witness.ai/ |
| LLM02 Sensitive Information Disclosure | The model leaks secrets, personal data, or proprietary content in its output. | Covered | Protects/redacts sensitive data across employee and agent activity. | https://witness.ai/ |
| LLM03 Supply Chain | Compromised models, datasets, plugins, or dependencies add risk before runtime. | Partial | Observe discovers and catalogs AI apps, agents and MCP servers (usage inventory), not model supply-chain scanning. | https://witness.ai/ |
| LLM04 Data and Model Poisoning | Tampered training or fine-tuning data corrupts how the model behaves. | Not covered | No data/model poisoning detection documented across Product, Observe, Protect, or Control pages. | https://witness.ai/product/ |
| LLM05 Improper Output Handling | Downstream systems trust model output without checking it, enabling injection or code execution. | Partial | Filters harmful responses before they reach users. | https://witness.ai/ |
| LLM06 Excessive Agency | An agent holds more permissions, tools, or autonomy than the task needs. | Covered | Agent governance; traces agent actions to human identities and enforces role/department policy. | https://witness.ai/ |
| LLM07 System Prompt Leakage | The system prompt or the secrets inside it get exposed to users. | Not covered | No system-prompt-leakage-specific control documented; runtime defense pages focus on prompt injection, jailbreaks, and data protection but not prompt leakage specifically. | https://witness.ai/protect/ |
| LLM08 Vector and Embedding Weaknesses | Flaws in RAG stores let attackers poison, extract, or infer data. | Not covered | No vector/embedding security capability documented. | https://witness.ai/product/ |
| LLM09 Misinformation | The model produces false or fabricated content that users act on. | Partial | Filters harmful/inappropriate responses; not a dedicated hallucination detector. | https://witness.ai/ |
| LLM10 Unbounded Consumption | Uncontrolled requests drive cost, denial of service, or model extraction. | Not covered | Intelligent Routing addresses cost/risk-based model routing only; no explicit rate-limiting/consumption/DoS control documented. | https://witness.ai/product/ |
| ATLAS Technique (ID) | Tactic | WitnessAI coverage | Notes | Source |
|---|---|---|---|---|
| LLM Prompt Injection (AML.T0051) | Initial Access / Execution | Covered | Blocks prompt injections inline. | https://witness.ai/ |
| LLM Jailbreak (AML.T0054) | Defense Evasion | Covered | Blocks jailbreaks at runtime. | https://witness.ai/ |
| LLM Data Leakage (AML.T0057) | Exfiltration | Covered | Redacts/protects sensitive data in prompts and responses. | https://witness.ai/ |
| Discover AI Artifacts (AML.T0007) | Discovery | Covered | Finds and catalogs shadow AI apps, agents and MCP servers. | https://witness.ai/ |
| LLM Plugin Compromise (AML.T0053) | Execution | Partial | Governs agent/MCP activity and ties actions to identities. | https://witness.ai/ |
| External Harms (AML.T0048) | Impact | Partial | Filters harmful responses and enforces policy. | https://witness.ai/ |
Is WitnessAI independent, and how is it funded?
WitnessAI is an independent company as of . It has raised Over $85M to date, most recently a $58M strategic round dated 2026-01. Lead investors: Sound Ventures.
WitnessAI alternatives
The closest alternatives we track in Guardrails / LLM Firewall are Enkrypt AI, Lakera, Lasso Security. On the open-source side, Guardrails covers similar ground.
- WitnessAI vs NeuralTrust
- WitnessAI vs Lakera
- WitnessAI vs Enkrypt AI
- WitnessAI vs Lasso Security
- WitnessAI vs Prompt Security
Frequently asked questions
What is WitnessAI used for?
WitnessAI is a Guardrails / LLM Firewall vendor. Its flagship product is WitnessAI Secure AI Enablement Platform (Observe, Protect, Control). It ships as Single-tenant environment with data sovereignty (proxy/gateway model), and it's built for enterprises needing an inline AI firewall to discover shadow AI/MCP servers, enforce policy, redact sensitive data, and block prompt injection/jailbreaks across employee and agent usage.
Is WitnessAI independent or acquired?
WitnessAI is an independent company as of 2026-07-13 and has not been acquired.
How many OWASP LLM Top 10 risks does WitnessAI cover?
We score WitnessAI as Covered on 3 of the ten OWASP LLM Top 10 (2025) risks, with 3 more Partial, as of 2026-07-13. The table on this page breaks down every risk, including the ones marked Not covered or Unverified.
How is WitnessAI deployed?
WitnessAI ships as Single-tenant environment with data sovereignty (proxy/gateway model).
What are the best alternatives to WitnessAI?
The closest Guardrails / LLM Firewall alternatives llmthreat tracks are Enkrypt AI, Lakera, Lasso Security. On the open-source side, Guardrails covers similar ground.