Personalized Runtime Guardrails for AWS Strand Agents

Wrap your Strands agent in the WonderFence SDK to enforce policies trained for your application, with safety telemetry that streams straight into your OTEL traces. WonderFence provides real-time protection against multilingual and multi-turn attacks at sub-99ms latency, keeping every turn observable in the tools you already use.

How it works

WonderFence integrates with AWS Strands

Customizable guardrails and consistent red teaming

Compliance evidence that keeps pace with AI

Find and fix what internal testing misses

Lifecycle-wide AI risk visibility

Technical Documentation

    strands_integration.py 
 from wonderfence import Guardrails
 from strands_guardrails import Agent
 
 guardrails = Guardrails(
     policies=["prompt_injection", "pii_detection", "tool_misuse"],
     mode="enforce",
     log_violations=True
 )
 
 agent = Agent("customer-support-strands")
 
 response = guardrails.run(
     agent=agent,
     input=user_message,
     context={"user_role": "customer", "channel": "web_chat"}
 )
 
 return response.safe_output 

Stay on your toes

What WonderFence adds to AWS Strands

AWS Strands gives you the agent. WonderFence gives you the controls — dynamic guardrails, granular policies, and full runtime visibility on top of what AWS Strands ships by default.

Trusted by the world’s biggest enterprises & foundation model labs

Integration FAQ’s

Do our existing platform guardrails cover us for HIPAA compliance?

Platform guardrails don't generate HIPAA audit evidence or enforce institution-specific PHI controls. WonderFence logs every interaction and enforces customizable policies at the interaction layer — built for what regulators actually require.

What happens to our compliance posture when the model gets updated?

WonderCheck supports ongoing adversarial evaluations at scheduled intervals, catching behavioral drift and PHI exposure regressions as models change. Your compliance posture doesn't reset after every update.

How do we validate clinical AI before go-live without slowing down our deployment timeline?

WonderBuild integrates into existing CI/CD workflows and returns prioritized findings against your specific clinical use cases so your team knows what to fix before launch, not after.

Who owns AI governance when it sits across clinical, IT, and compliance teams?

WonderSuite surfaces prioritized clinical risk findings for product teams, evidentiary logs for compliance, and lifecycle-wide visibility for the CISO. So, governance doesn't have to live in one place to work.