Intrusion Detection
Monitoring AI infrastructure and applications for malicious activity or policy violations, triggering alerts or automated responses.
Extends traditional cybersecurity to AI-specific threats - model inversion, API abuse, unusual inference patterns. Governance includes deploying IDS/IPS systems that analyze logs, network traffic, and model-usage metrics; defining incident-response playbooks; and conducting regular penetration tests to validate detection effectiveness.
A cloud-based ML service integrates an IDS that watches for anomalous patterns - such as large volumes of inference requests from a single IP (potential model extraction). When thresholds are exceeded, it automatically throttles the traffic and notifies the security team for investigation.
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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.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
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Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.