H2O.ai Accelerates Secure AI Deployment Across U.S. Agencies

eSentire Advances Controlled Autonomy SecOps with Agentic AI
🕧 4 min

H2O.ai, the leader in generative and predictive AI, today announced it has achieved Federal Risk and Authorization Management Program (FedRAMP®) High Authorization for H2O.ai Cloud for Government—the highest security designation available for U.S. federal agencies.

This authorization enables H2O.ai to support the government’s most sensitive, unclassified data and mission-critical workloads across defense, intelligence, healthcare, financial regulation, and public safety.

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With FedRAMP High Authorization, H2O.ai is among a select group of AI providers able to deliver advanced agentic and predictive AI capabilities at the highest federal security baseline. Agencies can now confidently operationalize AI for decision support, fraud reduction, cybersecurity, and program integrity—while maintaining full control over their data, infrastructure, and deployment environment.

FedRAMP High is reserved for systems where a breach of confidentiality, integrity, or availability could have a severe or catastrophic impact. This designation underscores H2O.ai’s commitment to delivering secure, sovereign, and responsible AI for high-stakes government missions.

“FedRAMP High marks a major milestone for H2O.ai, our platform, and our customer community – and a defining moment for the future of trustworthy, sovereign AI in the public sector. It is a privilege to serve our public servants and veterans who have put their lives in harm’s way to protect our freedoms and way of life. With FedRAMP High, we can bring AI that is not only highly accurate, fast, and sovereign, but also safe and secure. This milestone supercharges our mission to democratize AI for good, in service of citizens across every agency and department,” said Sri Ambati, Founder and CEO of H2O.ai.

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With this authorization, H2O.ai Cloud for Government enables agencies to securely develop, deploy, and manage AI and machine learning at scale. Key use cases include:

  • Fraud, waste, and abuse prevention
  • Cybersecurity and insider threat detection
  • Predictive analytics and resource optimization
  • Mission-critical generative AI applications
  • Intelligent document processing and automation
  • Public health and benefits delivery
  • National security and law enforcement data programs

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