Security & Trust
Built to survive scrutiny
Enterprise AI is only useful if your security team can say yes to it. Here's how we earn that yes.
Enterprise AI is only useful if your security team can say yes to it. Here's how we earn that yes.
Security isn't a layer we add at the end — it's how the platform is engineered. Every AI agent operates inside the same controls you'd demand of any enterprise system.
Data is encrypted in transit and at rest — with options for customer-managed keys — so your information is protected at every step of every workflow.
Single sign-on with your identity provider, role-based access controls, and domain allow-listing — the same people and permissions you already govern.
Consequential actions require human approval. The model plays, the human conducts — AI agents never take irreversible action without sign-off.
Every agent run is logged end-to-end — what was asked, what data was touched, what actions were taken, and what it cost. Nothing happens off the record.
Every run operates under hard time and spend caps. Runaway processes aren't possible by design — budgets are enforced by the platform, not by policy documents.
Code and tools execute in sandboxed, isolated environments with no arbitrary code execution paths — agents can only do what they've been explicitly equipped to do.
Your data is used to ground and personalize your AI systems — and for nothing else. It is never shared across customers, and you choose where it lives.
Trust isn't a slide in a deck — it's a property of a system you can inspect. Everything our agents do is metered, logged, and reviewable by your teams.
We expect — and welcome — scrutiny. Bring your security questionnaire, your architecture review, and your hardest questions.
A detailed architecture and controls document for security teams — shared under NDA so we can name names, not just categories.
Direct working sessions between your security and infrastructure teams and the engineers who built the platform — no sales filter.
We complete your security questionnaires and support procurement and vendor-risk processes as part of every enterprise engagement.
The questions your security team will ask — answered first.
Where you choose. Deployment ranges from our managed cloud to environments you control, with strict tenant isolation in every case — your data is never pooled or shared across customers. For the most sensitive workloads, local inference keeps content entirely on hardware you own.
Consequential actions — anything destructive, external, or hard to reverse — require human approval through built-in checkpoints. Routine work proceeds autonomously, but only within each agent's scoped permissions and budgets, and everything is logged either way.
Every run is recorded end-to-end: what was asked, what data was touched, which tools were called, what actions were taken, and what it cost. The trail is reviewable by your teams, so compliance questions are answered from evidence, not recollection.
It stops. Hard time and spend budgets are enforced by the platform — when a cap is reached, the run halts cleanly and can be resumed deliberately. Running agents can also be redirected mid-task by a human without losing their progress.
Yes. Users authenticate through your identity provider via SSO, access is restricted by email and domain allow-listing, and role-based controls govern who can see and do what — the same identity and permissions discipline you apply to any enterprise system.
Request the full security brief for your security team, or bring your questions straight to ours. We'd rather earn trust early than promise it late.
Request the Security Brief