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Enterprise Layer Intelligence
Categories/Cybersecurity/WitnessAI
WitnessAI

WitnessAI

Founded by Rick Caccia in 2024

Protect enterprise AI models, applications, and autonomous agents from prompt injections and data leaks

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use WitnessAI to monitor, secure, and govern how employees and software agents interact with artificial intelligence models. It catalogs AI applications across your business and uncovers shadow usage. The system blocks jailbreaks and prompt injection attacks in real time before they reach your models. It redacts sensitive data like credentials or personal records from prompts and filters harmful model outputs. Additionally, it audits interactions across Model Context Protocol servers and routes prompts to cost-effective models while maintaining compliance logs.

What WitnessAI does

Inspect incoming and outgoing AI prompts for security threatsCatalog all AI models, applications, and MCP servers in useMask confidential data and personally identifiable information in promptsSet access policies based on user roles and intentRoute AI traffic dynamically to reduce operational token costsGenerate regulatory compliance audit logs for automated agent actionsDiscovers and catalogs shadow AI apps and agents across corporate networksBlocks prompt injections and jailbreak attacks in real timeRedacts sensitive personal information and company secrets from promptsMonitors and governs agent connections to external MCP serversRoutes user prompts to different models based on risk and costFilters harmful responses before end users or agents see themMaintains complete audit trails linking agent actions to employee identities

Pricing breakdown

Pricing model: Book a demo

Frequently asked

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WitnessAI, AI security, AI governance, prompt injection defense, LLM firewall, agent security, shadow AI discovery, data redaction, MCP server monitoring, model routing, runtime defense, jailbreak prevention, compliance auditing, AI FinOps, sensitive data masking