GLACIS vs WitnessAI

GLACIS puts controls in the path of AI actions and creates signed records of covered decisions for external verification. When an action crosses configured bounds, it can be constrained, held for a person, or denied; other actions can pass through unchanged. Glacis says it operates nine production components as a managed service alongside the identity provider, cloud, and security systems a customer already uses. Records use OVERT, a published open format that implementers and reviewers can inspect, and can be checked in a browser without a Glacis account. The site says payloads remain in the customer’s environment and records contain hashes; omitting protected fields depends on deployment setup. A record check does not establish whether an action was correct, whether every event was captured, or whether a system is safe or compliant. GLACIS is available by API, web, and self-hosted deployment. Its Free account costs nothing, with no card required. The contact page describes a six-week evaluation for a workflow under review.

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.