AgentGate vs Prisma AIRS AI Runtime Security API

AgentGate

An agent or its host can send each tool call to one REST endpoint, or wrap an MCP server, and get allow, deny or ask from a local classifier and a YAML policy, with an audit log and approval queue. The project is three days old, auth is off by default, and no detection accuracy is published.

Prisma AIRS AI Runtime Security API

A public OpenAPI document, ten detection types in one call, tool-call scanning, a remote MCP server, rotating API keys and OAuth roles suit teams already on Strata Cloud Manager. Access needs Software NGFW credits bought through sales, with no public price, trial or self-serve signup, and payloads flagged malicious are kept for up to 10 years.

AgentGate

1. Create a session with the user's real goal first. The goal-alignment head scores every later call against it
2. Pass earlier tool results in history_override with untrusted: true for web or email content, or the injection head sees only the action
3. On ask, stop and tell the user the decision_id. Polling /v1/decisions/:id needs the dashboard key
4. Treat allow_with_checkpoint as allow and keep the checkpoint_id for an undo
5. Expect HTTP 404 with not_found for an unknown session and 401 when the owner has set an agent key

Prisma AIRS AI Runtime Security API

1. Send x-pan-token and an ai_profile with profile_name or profile_id on every scan. Both come from Strata Cloud Manager, and a key works only in its own region
2. Put earlier turns first in contents. Only the last element is scanned, and the rest is context
3. Read action (allow or block) and category, then check timeout and error, because a detector that failed is reported in errors with a 200
4. Keep synchronous requests under 2 MB and asynchronous ones under 5 MB and 25 items, and fetch at most 5 scan or report IDs a call, 10 calls a minute
5. For MCP, connect to /mcp on the regional host with x-pan-token and x-pan-profile headers, and call pan_inline_scan yourself before and after generation