Security by Design
Integrating security controls and best practices into AI systems from the earliest design phases to prevent vulnerabilities and data breaches.
A proactive approach that embeds security considerations into every layer - data ingestion, model training, API design, and deployment. It includes threat modeling during requirements, secure coding standards, encryption at rest and in transit, rigorous access controls, and continuous security testing (static analysis, penetration testing). Governance ensures security requirements are mandatory project milestones, with sign-offs before each phase transition.
A healthcare AI team built “security by design” into their patient-diagnosis system by encrypting all data inputs, running static-security scans on model code before training, and conducting monthly pen tests on the inference API - catching and patching vulnerabilities long before any live data was exposed.
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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.