Agent Fabric
An integrated runtime substrate that hosts, orchestrates, and governs multiple AI agents alongside the models, tools, and data they depend on.
An agent fabric provides the underlying platform layer for agentic AI deployments - combining agent runtime, tool access, identity and authentication, policy enforcement, and observability into a single managed environment. Where service-oriented architectures relied on application servers and APIs, agentic architectures rely on the fabric to handle the harder coordination problems: which agents are allowed to call which tools, how their actions are audited, where their inputs and outputs are logged, and which controls trigger before an action executes. The fabric is becoming the natural runtime integration point for AI governance controls, distinct from the inventory and intake work that happens before deployment.
A multinational bank deploying agents across customer service, fraud investigation, and compliance review settles on a single agent fabric to standardize identity, action-logging, and tool-access policies. When new agents come online, they inherit the fabric's controls automatically rather than each team building its own observability stack.
“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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Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.