Sentinel
Enterprise scanning for AI model intake, MCP exposure, prompt attack paths, and runtime policy drift before those weaknesses become operating risk.
Sentinel is built for teams that need one control layer spanning model artifacts, agent entry points, and sensitive prompt workflows.
What Sentinel watches
Model artifact hygiene
Inspect inbound weights, unsafe formats, deserialization paths, and third-party artifacts before deployment.
Prompt & tool boundaries
Review prompt injection, tool misuse, approval bypass, and unsafe memory access across agentic workflows.
MCP trust exposure
Validate registration, identity, transport, and command-execution assumptions across MCP-connected systems.
How teams use it
Release-gate scanning
Tie model and prompt checks into pre-production release gates rather than catching risk after rollout.
Policy exception review
Give security and platform teams a common control language for exception handling and remediation ownership.
Evidence-first triage
Move from generic findings to exploit-informed evidence that product and engineering teams can action quickly.