Governance
No agent writes to production without passing four gates
Speed gets data in, sovereignty keeps it yours, and governance makes every action accurate, private, and accountable. Policy-as-code is evaluated at the tool-calling boundary, and every verdict lands in the same engine that ingested the data, sealed at up to 5,588 writes a second.
Four gates
Propose, check, simulate, gate, execute
Every proposed action passes a fixed sequence inside the engine's write path. No shortcut, no override.
Policy Check
Policy-as-code evaluates every action. Deny is a hard stop.
Simulation
Dry-run against shadow state. Before/after diff with zero production impact.
Approval Gate
Human-in-the-loop reviews risk. Single-use, time-boxed, scope-bound.
Execute + Audit
Action runs. Hash-chained record created. Evidence pack generated.
Guardrails
Boundaries enforced before output leaves the platform
Four guardrail layers sit between agent reasoning and the outside world. Each is configured per workspace and applied to every response.
PII redaction
Names, contact details, and identifiers are masked at the boundary.
Personal data never reaches a model or an output unmasked.
Topic boundaries
Agents stay inside the domains you define. Out-of-scope requests are declined under policy.
Agents cannot be steered into legal, medical, or off-brand territory.
Jailbreak defense
Prompt injection and role-play attempts are caught at the input boundary.
Manipulation attempts are refused and logged.
Output filters
Every response is screened against policy before delivery.
Nothing leaves the platform that violates your content rules.
Simulation
Prove behavior before it reaches production
The simulate gate has a full module behind it. Test agents and connectors against synthetic conditions, then promote with evidence.
Agent simulation
Run whole agents through scripted scenarios. Every run returns a scorecard: task outcome, policy compliance, and cost.
Regressions are caught in rehearsal and scored before rollout.
Connector simulation
A synthetic-connector sandbox validates ingestion and connector behavior against synthetic twins.
Live systems stay untouched until the integration is validated.
Policy-as-code
Open standards, enforced at the boundary
Built on OPA and Cedar, evaluated at the tool-calling boundary. Every verdict is allow, deny, or allow-with-approval-gate, recorded with reasoning and trace identifier.
Audit
Immutable, hash-chained, never sampled
Every consequential event is written to an append-only, hash-chained audit log. Any retroactive edit breaks the chain and is detectable. Audit events are never sampled: every who, what, when, and before/after is retained, because on our database recording everything is cheaper than sampling.
Distributed traces
Every run renders as a span waterfall: ordered, typed spans with timing, token, and cost detail.
Root cause found in minutes without a war room.
Responsible AI posture
Posture controls for oversight, transparency, and model behavior, reviewed alongside the audit trail.
Data and action lineage
"Which data influenced this action": source to entity to agent to decision.
Compliance evidence
On-demand packs mapped to SOC 2, ISO, GDPR, EU AI Act.
Audit prep stops being a quarter-long project.
Hash-chained records
Each entry chains to prior hash. Tamper-evident and verifiable.
See policy enforcement in your stack.
Book a 30-minute scoping call or send us a message. We respond within one business day.