How We Think About AI Safety and Governance

As AI systems take on more consequential work, the bar for safety and governance rises with them. At Zunbur, safety isn't a compliance checkbox — it's an engineering discipline woven through the platform.

Defense in depth

We assume any single control can fail, so we layer them. PII detection and redaction, prompt-injection defense, output validation, rate limiting, and policy enforcement each operate independently. Compromise one and the others still hold.

Humans stay in control

For high-impact actions, an agent proposes and a human disposes. Approval workflows, granular permissions, and immutable audit trails ensure there's always accountability and a clear record of who authorized what.

Privacy by default

We never train on customer data. Enterprise customers can deploy privately, choose their data residency, and even run air-gapped. Your data belongs to you, full stop.

Trust is earned through transparency and rigor. We publish our controls, invite scrutiny, and hold ourselves to the standards our customers' boards demand.