Security & Data Handling

This page is a practical overview of security posture for agent workflows.

Not legal advice. Replace placeholders with your real controls and practices.

High-level stance

• Prefer self-host deployments for regulated workflows.
• Minimize data sent to third-party providers.
• Treat logs as sensitive: redact, encrypt, and control retention.

Common controls (baseline)

• Secrets stored in a secret manager (no keys in code)
• Principle of least privilege (service accounts per workflow)
• Separate environments (dev/stage/prod)
• Audit logs stored immutably (append-only storage or WORM where required)
• Encryption at rest + in transit

LLM-specific practices

• Disable prompt logging where required (or redact sensitive fields)
• Store references to artifacts instead of raw content when possible
• Attach stable run IDs and stage spans to support replay/debug without data sprawl

Questions enterprises ask (answer these)

• Where does data flow? (diagram)
• What gets logged? How long? Where?
• How do you prevent prompt injection / data exfiltration?
• How do you evaluate and monitor regression?

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