Company Overview
AI security platform with red teaming (Witness Attack) and AI firewall (Witness Protect) for enterprise LLMs.
Based in Silicon Valley (San Jose, CA), WitnessAI offers its WitnessAI Platform as a solution for organizations navigating the complexities of enterprise GenAI security covering copilots, chatbots, and internal AI tools. The platform is positioned within the broader LLM Application Security category, where AI Security Intelligence tracks 11 companies building specialized capabilities.
Founded in 2023, WitnessAI is among the newest entrants in the LLM Application Security space, building its approach from the ground up to address the current generation of AI security challenges.
Why Watch This Company
LLM Application Security is the category most directly tied to the GenAI adoption wave sweeping every industry. WitnessAI addresses enterprise GenAI security covering copilots, chatbots, and internal AI tools — a critical capability as organizations move from experimental LLM pilots to production deployments handling sensitive data and customer interactions.
Key Facts
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Headquarters
San Jose, CA
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Category
LLM Application Security
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Key Product
WitnessAI Platform
Primary Product
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WitnessAI Platform
AI security platform with red teaming (Witness Attack) and AI firewall (Witness Protect) for enterprise LLMs.
LLM Application Security Landscape
LLM Application Security →
LLM Application Security focuses on protecting the applications, interfaces, and workflows built on top of large language models. This includes securing prompt interactions, preventing data exfiltration through model outputs, detecting jailbreaking and prompt injection attacks, governing shadow AI usage, and enforcing organizational policies on LLM-powered tools — from enterprise copilots to customer-facing chatbots.
11 companies tracked in this category
Buyer's Evaluation Framework
Key questions to evaluate any LLM Application Security vendor — including WitnessAI:
Does the platform protect against the OWASP Top 10 for LLMs, including prompt injection, data leakage, and insecure output handling?
Can the solution discover and govern shadow AI — unauthorized use of LLM tools across the organization?
How does the vendor balance security enforcement with user experience — does protection add noticeable latency to LLM interactions?
Does the platform support both enterprise LLM deployments (Azure OpenAI, AWS Bedrock) and consumer AI tools (ChatGPT, Claude)?
Featured Profiles in LLM Application Security
Deep-dive intelligence profiles with full market analysis, development timelines, and product breakdowns.
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Category Peers — LLM Application Security
10 other companies in this category
Aim Security
Tel Aviv, Israel
Aurascape
Santa Clara, CA
Check Point Software
Tel Aviv, Israel
★ Featured Profile
F5 (AI Security)
Seattle, WA
Guardrails AI
San Francisco, CA
Harmonic Security
Austin, TX
Lasso Security
Tel Aviv, Israel
Pangea Security
Palo Alto, CA
★ Featured Profile
Pillar Security
Tel Aviv, Israel
Prompt Security
New York, NY
★ Featured Profile