Production AI Monitoring

Continuous compliance for production AI conversations.

Ingest every production conversation, validate against your rules in real-time, route edge cases to human reviewers, and maintain an immutable audit trail.

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What Assurance does

Real-time validation
Every ingested conversation is checked against your rules — regex, judge, JSONPath — on arrival.
Violation detection
Failures are flagged instantly with severity, rule ID, and conversation context.
Reviewer workflows
Route flagged conversations to human reviewers with notes, dispositions, and escalation paths.
Immutable audit trail
Tamper-proof records of every conversation, check, and reviewer action.
Alerting
Push violations to Slack, email, PagerDuty, or webhooks in real-time.
Trend dashboards
Track incident rates, top failing rules, and resolution times over time.

How it works

1
Define evidence models
Create rule sets for your compliance policies — PII detection, tone, regulatory requirements.
2
Ingest conversations
Send production conversations via API or webhook. Supports batch and streaming.
3
Validate and route
Rules run automatically. Failures are flagged and routed to the right reviewer.
4
Review and export
Reviewers investigate, add notes, and dispose. Export evidence bundles for audits.

Key features

Evidence models
Configurable rule sets combining judge, regex, and JSONPath checks.
Evidence bundles
Export complete records — conversations, checks, reviewer actions — for regulators.
SIEM export
Push structured events to Splunk, Datadog, or your existing security tooling.
Legal hold
Preserve evidence for litigation with retention locks and signed bundles.
Advanced RBAC
Builders, reviewers, and viewers with fine-grained permissions per evidence model.
Data residency
Choose where your data lives — or deploy self-hosted for full control.

Ready to get started?

See pricing or talk to our team about your use case.

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