sipi.bot · compliance
GDPR compliance for AI agent spend controls
GDPR Article 32 requires appropriate technical measures to protect personal data. When an agent processes payments involving personal data, those transactions need purpose-limitation and data-minimization controls.
What GDPR requires for agent spend
GDPR Articles 5 and 32 require purpose limitation, data minimization, and integrity and confidentiality for automated processing. A spend firewall with merchant allowlists restricts data sharing; category rules enforce purpose limitation; the audit log provides Article 30 evidence.
How sipi.bot maps to GDPR controls
| Requirement | sipi.bot capability | Evidence |
|---|---|---|
| Documented policy gate | evaluate_spend in <5ms against rules | Policy version per decision |
| Immutable audit log | Tamper-evident decision log | Full JSON audit trail |
| Human escalation | FLAGGED → approval queue | Queue history with reviewer ID |
| Access control | Agent-key-scoped policies | Auth + authorization log |
Frequently asked questions
What does GDPR require for agent spend?
A documented, enforced policy gate on every autonomous transaction, with an immutable audit trail and human escalation. sipi.bot evaluates every transaction against your rules in <5ms, logs the decision with policy version, and queues flagged transactions for human review.
Is sipi.bot certified for this?
sipi.bot is not a certifying body. It provides the technical controls — deterministic evaluation, audit logging, human escalation — that satisfy these governance requirements. Your auditor maps these to the framework criteria.
How do I produce audit evidence?
The sipi.bot audit log exports every decision (transaction, amount, merchant, rule triggers, verdict, policy version, timestamp) as structured JSON. This log is tamper-evident and can be fed into SOC 2, ISO 27001, or GDPR audit trails.