Check Point AI Guardrails vs WitnessAI

Check Point AI Guardrails analyzes large-language-model inputs and outputs for prompt injection, data leakage, policy bypass attempts, unsafe content, and related AI threats. It provides threat intelligence, analytics, and developer tooling for securing AI applications. Deployment can be on premises or in a private cloud, with processed personal data kept in the customer’s controlled environment except for agreed support or maintenance. Check Point Firewalls can apply the service to generative and agentic AI traffic, including content moderation and MCP tool responses. Listed supported services include OpenAI, Claude, Gemini, and Mistral AI through developer APIs. A Copilot Studio integration combines runtime guardrails with data-loss prevention and threat prevention. The cloud service may process prompts, messages, tool information, enabled uploads, model outputs, and security analytics. Pricing is on request; retention lasts through the subscription and three months afterward.

WitnessAI is an enterprise AI security and governance platform for employee, model, application, and agent AI use. It finds AI applications, agents, and MCP servers, then presents prompts, responses, and agent activity in real time. Its catalog detects more than 4,000 AI applications without an endpoint client. Organizations can route prompts by risk, cost, or purpose and set policies by department, role, intent, or workforce type. The platform can redact sensitive data, create audit trails, block prompt injection and jailbreaks, and filter harmful model outputs. It also governs agent access to MCP servers and tools, recording blocked calls with user, agent, tool, and rule details. WitnessAI describes network-level operation without new SDKs, extra clients, or invasive instrumentation. Its architecture includes single-tenant isolation, customer-controlled encryption, executive privacy modes, and multi-region deployment. Monitoring includes Windows 11 Copilot, Office 365, and other desktop AI applications without endpoint clients or browser extensions. Pricing is custom and not published in self-service tiers; organizations can request a personalized demo.