Watchdog Monitoring
Independent runtime checks that observe AI decisions and trigger alerts or interventions when policies or thresholds are violated.
A secondary monitoring layer - implemented as separate services or processes - that inspects model outputs in real time against predefined rules (e.g., forbidden content, out-of-range predictions). When violations occur, watchdogs can automatically block the decision, escalate to human review, or rollback to a safe model version. Governance defines watchdog policies, response SLAs, and logging requirements for forensic analysis.
A content-moderation AI is complemented by a watchdog service that scans every approved post for hate-speech patterns. If any flagged term slips through, the watchdog immediately retracts the post and opens an incident ticket for the moderation team - providing a safety net against model errors.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
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