Amazon Bedrock Guardrails vs Prisma AIRS AI Runtime Security API

Amazon Bedrock Guardrails

ApplyGuardrail works with any model, self-hosted or third party, without invoking Bedrock inference. Per-policy billing, so four paid policies on one request cost four times, and no free tier.

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.

Amazon Bedrock Guardrails

1. Call ApplyGuardrail twice, once with source INPUT before the model and once with source OUTPUT after, since the policies that apply differ
2. Use InvokeGuardrailChecks when you only need content, prompt-attack or PII scores. It needs no guardrail id and runs in detect-only mode
3. Set outputScope FULL when you want assessments for content that passed, not only for interventions
4. Budget in text units of 1,000 characters per policy. A 5,000-character tool result is five units on every paid policy
5. Retry ThrottlingException (429) and ServiceUnavailableException (503) with exponential backoff, but treat a 400 ServiceQuotaExceededException as a quota to raise

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