Trustworthiness and AI: Finding Balance in Innovation
How can an organization effectively create systems to protect against compromised AI data models to build a secure, transparent infrastructure that builds trust while accelerating innovation?
Thought Leadership: Agentic AI and Agents
Agentic AI is everywhere, but the term is often used to describe very different capabilities. Engineers and leaders hear the same language and walk away with different expectations, creating risk in decision-making, governance, and adoption.
In Agentic AI and Agents, Ricci Mulligan clarifies what agentic systems actually do today, why expectations diverge, and why precision in how we describe AI capabilities matters. By distinguishing between action-centric, hybrid, and epistemic agentic systems, this paper helps leaders align technical reality with mission needs.
Reimagining Medical Alerts Using People-Centered AI Innovation
In this episode of the Fed to Fed Podcast, LogicMark leaders share how AI-enabled medical alert technology and IoT innovation are reshaping veteran care at the VA. The conversation explores human-centric design, advanced fall detection, and the future of proactive, data-driven healthcare solutions for aging and at-risk populations.
Shattering the Silo: A Unified Approach to Mobile Device and App Security
As mobile devices become central to federal missions, securing them is more critical—and more complex—than ever. In this episode of the Fed to Fed Podcast, Mike Damiano breaks down how unifying mobile threat defense and mobile application vetting can eliminate security silos, improve visibility, and strengthen Zero Trust compliance.
Cybersecurity Lessons Learned from the Change Healthcare Attack
In this episode of the Fed to Fed podcast, the conversation explores the evolving cyber threat landscape facing federal agencies and the growing importance of cyber resilience in a world defined by constant disruption. The discussion examines real-world ransomware and supply chain attacks, highlighting how threat actors are evolving faster than traditional security approaches and why recovery readiness is now just as critical as prevention.
AI with Accountability, Cost Control, and Mission Velocity
Join us on today’s episode of the Fed to Fed podcast as we discuss vital information agencies need to consider when looking to incorporate AI as a mission multiplier.
Key Takeaways from DHITS
On today’s episode of the Fed to Fed podcast, we speak to Maximus’ Dr. Jennifer Garrison and Alex Dixon about the future of military healthcare. They’re sharing insights from the 2025 Defense Health Information Technology Symposium (DHITS).
Purposeful Modernization: Streamlining Federal Benefits with AI
How do you modernize government health systems without starting from scratch? In this episode of Fed to Fed, SAIC leaders Heath Starr, Matt Garvey, and Sophie Myers reveal how they’re doing exactly that — using AI, automation, and smart collaboration to cut through inefficiency and deliver better outcomes for veterans and citizens alike.
Driving Digital Transformation: Lessons from Government and Industry
Government agencies and their industry partners are accelerating AI adoption, but that also increases risk. How can leaders integrate emerging technologies, like AI, securely and with transparency and resilience? Learn more on today’s Fed to Fed podcast episode with special guests from Sidekick Security.
A Conversation with ACCELERATE Award Winner: HHS Indian Health Services National Patient Information Reporting MicroHealth Project Team
In today’s episode of the Fed to Fed podcast, MicroHealth’s Lewis Miles explores how AI, modernization, and data governance are reshaping federal healthcare. He shares how MicroHealth supports the Indian Health Service by improving data access, interoperability, and actionable insights—helping agencies strengthen mission outcomes and prepare for the future of health IT.