Darwin AI has expanded its platform into an enterprise-grade offering designed to govern AI across entire states and large government agencies. The new Darwin Enterprise platform, announced this week, adds multi-tenant architecture, file upload controls, and shadow account enforcement so central IT teams can maintain visibility while individual departments manage their own approved tools and policies. For state and local governments scaling AI adoption, the expansion addresses the growing tension between rapid deployment and the records, privacy, and compliance obligations that define public service.
What's new in the platform
The expanded platform introduces several capabilities that give security and compliance teams finer control as AI use spreads across tens of thousands of endpoints. These include:
- Multi-tenant architecture that lets a central IT authority set organization-wide governance while each agency configures its own guardrails and approved tools.
- File upload controls that detect sensitive information inside documents sent to tools like ChatGPT, Gemini, Claude, and Microsoft Copilot.
- Shadow account enforcement that blocks AI access through personal accounts on managed devices, capturing the signed-in email for every session and flagging any outside the organization's domain.
- Flexible hosting options, including TX-RAMP Level 2 environments or the customer's own cloud infrastructure.
- An AI Tool Explorer that evaluates and classifies AI tools from Darwin's registry before procurement, so governance is in place from the first user session.
Built for the public sector's unique requirements
Darwin Enterprise is engineered specifically for state and local government, not retrofitted from a general-purpose enterprise security tool. The platform handles public records retention and state-specific compliance rules that commercial platforms often miss. "The most common question we hear is how Darwin differs from the enterprise security platforms agencies already run, and the answer comes down to depth and focus," said Dustin Haisler, Chief AI Officer and U.S. General Manager at Darwin AI. "Darwin is designed to work alongside the enterprise security investments agencies already have, but provides more robust insight and control around the AI that these general-purpose tools miss. It is also engineered around the unique nature of government, including records retention and compliance requirements that only state and local governments have."
Noam Maital, CEO and Co-Founder, said the challenge is no longer whether agencies will use AI, but whether they can govern it at the scale of an entire state. "Large government organizations need centralized visibility and oversight without forcing every agency into the same operating model. Darwin Enterprise was built for that reality, giving IT leaders the ability to establish enterprise-wide governance while empowering agencies to manage their own approved tools, policies, and guardrails within a common framework."
Growth and expanding availability
The platform expansion follows a period of rapid growth for Darwin. The company recently partnered with the Georgia Technology Authority to anchor the state's AI governance strategy. It also works with Carahsoft, which serves as Darwin's Master Government Aggregator, making the platform available through NASPO ValuePoint, TIPS, and OMNIA Partners contracts. A new TXShare cooperative contract offers Darwin through Civic Marketplace. Darwin Enterprise is part of a broader push for AI for Government, where systems must meet public records and compliance obligations from day one.
Why this matters for government IT leaders
As AI adoption spreads from pilot projects to enterprise-wide deployments, the gap between using AI and governing it grows wider. Darwin Enterprise gives state and local IT leaders a way to enforce consistent policies across dozens of agencies without stripping them of the flexibility to choose their own tools. The platform's ability to detect shadow AI access and block sensitive file uploads addresses two of the most common compliance risks in government, directly helping agencies avoid records violations and data leaks. For teams managing a statewide AI strategy, this means fewer blind spots and a single framework for oversight that still respects departmental autonomy.
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