The safeguards map / 3.3 Gateways
WitnessAI
Drafted with AI
Drafted with AI from the cited sources under the direction of UnGovr staff. UnGovr holds editorial responsibility for this page. How this site is made
A commercial AI security and governance platform that applies policies to employee and agent AI use, controls approved Model Context Protocol (MCP) servers and tools, and blocks attacks on models.
Where it sits
3.3 Gateways (primary): Applies policies by department, role and intent to AI traffic from employees and agents, enforces approved MCP servers and tools, and blocks attacks on models and agents.
Govern AI agent and human workforces with complete visibility and behavior-based controls.
captured
Enforce control of approved MCP servers and tools across every agent, IDE, and agentic app
captured
Block attacks before they reach your AI models and agents
captured
Create policies based on department, role, intent, or workforce type
captured
Facts
- Concern
- security
- Names the law
- no
- Subject
- agentAI system
- Used by
- those who run it
- Runs
- at runtime
- Policy comes from
- owner-entered settings
- Traffic it sees
- model callstool calls (MCP)
- Can the agent bypass it
- depends
Handoffs
None recorded.
Listed, not drawn: no documented handoff and no foundation home places it on the map.
Collector's note
The documentation host returned almost no text, so the claims rest on the product page, which describes blocking and tool control but does not say how traffic reaches the platform (proxy, agent or API). Whether it sits on the request path is therefore not shown, and the placement should be re-read against its documentation. No handoff format is named.
Every quote is verbatim from a stored capture of the page linked under it. Placement is our reading of the product's own documentation; no publisher has reviewed or endorsed it. Rows CC BY 4.0. Names, marks and logos belong to their owners; logos identify each product and are not part of the dataset.