Read the latest Unissant thought leadership

Unissant Named a 2027 Elev8 GovCon Honoree

Unissant announced today that the company has been named a 2027 Elev8 GovCon honoree, marking its fifth consecutive year of recognition by OrangeSlices. The Elev8 GovCon program recognizes government contractors that demonstrate a strong workplace culture and positive relationships with employees and industry partners. Honorees are selected based on qualifications corroborated through submissions from both […]

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Unissant Awarded $166 Million DHS CBP Vetting Prime Contract

Five-year award continues Unissant’s role supporting CBP mission technology Unissant announced today that it has been awarded a five-year, $166.35 million contract to continue providing workflow support services to the U.S. Department of Homeland Security’s (DHS) U.S. Customs and Border Protection (CBP). The award continues work Unissant first began supporting more than five years ago […]

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What Air Force Modernization Needs Next

AI is changing the economics of software development. As the functional cost and time required to generate code and tests continue to fall, more of the modernization constraint shifts to the processes that determine whether software reaches operational use. For government, modernization speed increasingly depends on whether procurement and assurance can keep pace with technology. […]

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From FHIR Pilots to Production: Interoperability, AI, and the Future of Federal Health Modernization

Agencies are under growing pressure to improve how healthcare information moves across systems, programs, providers, and stakeholders. At the same time, they are managing increasingly complex environments shaped by legacy infrastructure, fragmented data, evolving mandates, cybersecurity requirements, and rising expectations around accessibility and speed. In response, the Fast Healthcare Interoperability Resources (FHIR) standard is becoming […]

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From Policy to Performance: Takeaways from Conversations on Navigating CMS

Across the CMS ecosystem, important shifts are taking place in how leaders think about modernization, program delivery, and the path from policy intent to operational results. At the Policies, Programs, Products, Procurements and Partnerships – Navigating CMS event, Unissant joined government and industry leaders for discussions focused on the realities shaping the Centers for Medicare […]

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Translating Frontier Innovation into Mission Readiness

At Unissant, we have spent years applying advanced data, AI, and analytics capabilities in the most demanding federal environments. Our perspective is shaped by operational accountability. We see clearly that the next phase of modernization will be about operating AI responsibly at scale. Through our collaboration with D-Wave, we are helping federal customers explore hybrid quantum-classical […]

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Understanding Traditional AI and Agentic AI

Throughout our “AI in Plain English” series, we’ve explored examples and shared analogies to help non-experts better understand key AI concepts. For those of us supporting federal missions, understanding AI fundamentals is crucial for effective implementation and strategic planning. AI continues to progress at a rapid pace, bringing even more shifts. One powerful concept gaining traction: Agentic AI.

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IDK is A-OK: Taming LLM Hallucinations

Every student has been there—the teacher’s eyes lock on you. They ask a question that makes your stomach sink and heart rate quicken—because you really don’t know the answer. You could say “I don’t know (IDK),” but that won’t look good. Instead, with a slight stammer, you begin to make something up, hoping to fake it well enough to get off the hook.

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5 Key Takeaways: DHS’ new AI Framework for Critical Infrastructure

Every day, countless systems work in unison behind the scenes, powering our lives. From the electricity that lights our homes to the internet that provides global connectivity, our critical infrastructure is integral to our economy, our security, and our way of life.

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AI Model Reliability: Sunny days or cloudy skies?

For federal missions, the stakes are high. Sure, an inaccurate weather forecast can disrupt your day or maybe ruin your favorite pair of shoes. But for national security missions, an unreliable AI model can introduce false positives or negatives, leading to the misidentification of threats. Similarly, for federal health missions, an unreliable AI model could perpetuate bias, negatively impacting research and care.

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Profile-based Synthetic Data Generation: Fake it till you make it

The demand for solutions leveraging artificial intelligence (AI) and machine learning (ML) continues to surge. Core to every AI or ML solution is a robust security model that protects data privacy. These more advanced data solutions demand a data security and privacy paradigm that evolves beyond approaches such as data suppression and data masking that, frankly, miss the mark when it comes to robust model security.

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Put Your AI on a Data Diet

One of the biggest challenges associated with AI algorithms is the idea that they require vast amounts of data. While data is essential for development, it presents several challenges, particularly in the areas of Data Privacy and Data Security.

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