Post 1 — Why AI-generated outbound needed a human gate
A candid breakdown of how AI SDR tools shipping unreviewed emails created compliance exposure, brand risk, and irreversible relationship damage — and what we built to fix it.
Resources
DataVibe blog
Published field notes from building DataVibe: what failed, what we fixed, and what we are shipping next.
Post 2 — From 'looks fine to me' to a cryptographic audit trail
How we moved from ad-hoc human review to governance snapshots: every AI decision linked to the exact policy config that produced it, tamper-proof at the database layer.
Post 3 — Security hardening that changed our shipping velocity
JWT issuer/audience enforcement, signed webhook replay protection, SSRF guards, action rate limits, and immutable audit events: what we changed and why it made releases safer.
Post 4 — FINRA §3110 and the AI supervision gap
How regulated financial firms are using AI for client communications without a supervisory control record — and what a governance gate solves that a human checklist cannot.
Post 5 — What we are building next
Upcoming work: deeper policy-as-code controls, richer violation analytics, expanded compliance vertical templates, and stronger multi-team governance for enterprise scale.
Post 6 — Building SIEM integration for AI governance events
How we deliver governance events to Splunk and Sentinel via NDJSON and CEF streaming — and why compliance teams need AI audit signals in their existing alerting stack.
Published now
Security hardening that made releases safer and faster
JWT audience/issuer enforcement, webhook signing, SSRF guardrails, action rate limiting, and immutable audit logging.
Next up
Release narrative series
We are expanding the 0.3.0, 0.4.0, and 0.5.0 release notes into implementation retrospectives with lessons and architecture trade-offs.
Book an AI Safety Audit
Walk through AI outbound risks, policy guardrails, and rollout options with our team.