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Your AI agents are in production. Your compliance evidence isn't.

See how agent behavior maps to SOC 2, HIPAA, GDPR, and EU AI Act requirements — automatically.

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Sample Agent Execution Trace

Real-time action logs with compliance signals.

trace_id: agt_29f8c1

Agent Initialized—2026-03-26 09:15:01
✅ Normal
Customer support agent v2.3 started, model: Claude Sonnet 4
User Input Received—2026-03-26 09:15:02
✅ Normal
"I need help updating my billing information and changing my subscription"
Database Query Executed—2026-03-26 09:15:03
⚠️ Warning
SELECT * FROM customers WHERE id = 'cust_8472' — Retrieved: name, email, phone, billing_address, SSN_last4, payment_method
Warning — Accessed PII fields beyond minimum necessary
External API Call—2026-03-26 09:15:04
✅ Normal
POST https://api.stripe.com/v1/customers/cust_8472 — Updated payment method
Tool Call: Send Email—2026-03-26 09:15:06
⚠️ Warning
Sent confirmation email containing: name, new plan, last4 of card
Warning — Email contains PII, no encryption verification
Agent Decision: Apply Discount—2026-03-26 09:15:07
🔴 Risk
Agent autonomously applied 20% retention discount based on churn prediction model. No human approval obtained. Discount value: $47.80/month.
Risk — Autonomous financial decision without human-in-the-loop
Session Completed—2026-03-26 09:15:09
✅ Normal
Agent session ended. Total tokens: 3,847. Cost: $0.12. Duration: 8.2s

Compliance Analysis Results

Trace analyzed against 4 compliance frameworks

Run analysis to reveal findings, charts, and evidence mapping.

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This is a demo. The real product is a Python SDK that captures this data from your live agents automatically.

integration.py

from traceshield import monitor
monitor.init(api_key="your-key")
agent = monitor.wrap(your_langchain_agent)
# That's it. Every trace is captured, analyzed, and mapped.

Built from research across 1,100+ Reddit posts and industry data on the AI agent compliance gap.

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