Abstract
Healthcare cybersecurity stands at a pivotal juncture, analogous to the Cold War's most perilous moments. When President Ronald Reagan declared "trust but verify"[1] during nuclear disarmament negotiations with Soviet General Secretary Mikhail Gorbachev, he established systematic verification as the cornerstone of security in high-stakes environments where the cost of misplaced trust meant potential human extinction. Today, the rapid integration of artificial intelligence and networked medical devices into America's healthcare infrastructure has created stakes equally grave for the nation's sixty-five million Medicare beneficiaries[2]; however, the threat landscape has evolved beyond Reagan's paradigm. Modern healthcare cannot afford even conditional trust in its digital systems; it demands an absolute principle: "never trust, always verify." This imperative reflects a fundamental reality: while cloud-based data sharing, the Internet of Medical Things (IoMT), and AI-driven clinical tools have revolutionized care delivery, enabling remote monitoring, precision diagnostics, and coordinated treatment across providers, they have simultaneously created attack surfaces and algorithmic vulnerabilities that existing federal regulations do not address.
The Trump administration’s cybersecurity approach, emphasizing efficiency, decentralization, and reduced prescription while removing explicit zero trust mandates and declining to finalize enhanced AI guardrails for Medicare Advantage, reflects a tension between streamlined governance and the rigorous verification necessary to protect vulnerable populations.[3] This paper examines how the Centers for Medicare and Medicaid Services (CMS) and the broader healthcare sector must adopt Zero Trust Architecture (ZTA) as both a technical framework and regulatory imperative. ZTA assumes adversarial penetration, eliminates implicit trust relationships, and requires continuous verification of all users, devices, and transactions. Only through such comprehensive security can Medicare protect its most vulnerable beneficiaries from three converging threats: AI-enabled cyberattacks exploiting device vulnerabilities, unregulated algorithmic decision-making that denies medically necessary care, and cascading system failures that threaten patient privacy and survival.
Recent evidence reveals the scope of the crisis: 99% of healthcare organizations manage IoMT devices with known exploited vulnerabilities linked to ransomware campaigns, while Medicare Advantage insurers deploy unregulated predictive algorithms that override physician judgment to deny care. The 2024 Change Healthcare breach disrupted prescription processing nationwide at a cost exceeding $872 million, and adversarial attacks on FDA-approved AI medical devices threaten diagnostic accuracy and patient safety. Meanwhile, CMS survey protocols remain silent on networked medical device cybersecurity, creating a dangerous regulatory vacuum in the United States. This analysis proposes a comprehensive framework that integrates ZTA principles, least-privilege access, continuous monitoring, and micro-segmentation with AI-powered defensive capabilities and enhanced regulatory oversight. This paper examines the Trump administration's "Zero Trust 2.0" approach, which emphasizes efficiency and decentralization while removing prescriptive federal requirements, and assesses the political feasibility of Medicare-led transformation. Drawing on NIST standards, international regulations, executive orders and current legislation, this paper presents actionable reforms, including Medicare Advantage algorithm transparency requirements, updated Conditions of Participation for hospitals, and financial incentive programs modeled on Meaningful Use.
This paper argues that Medicare's unique position, covering over 50% of elderly Americans with one plus trillion in annual expenditures, makes it the ideal catalyst for healthcare cybersecurity transformation. However, implementation faces significant barriers, including legacy system integration challenges, workforce shortages, and the current administration's deregulatory posture. The analysis demonstrates that targeted, incremental reforms emphasizing cost-benefit outcomes and public-private partnerships offer the most politically viable path. Ultimately, this work contends that Reagan's Cold War maxim "trust but verify" must evolve into healthcare's governing principle: "never trust, always verify." In the same way that verification systems avert nuclear disasters, the integration of Zero Trust Architecture with AI-aware security measures forms the essential basis for safeguarding Medicare beneficiaries against cyber threats that pose a similar existential risk.
Transformation is inevitable, but the critical question is whether it will be driven proactively by policy leaders or reactively following disastrous system failures that result in the loss of lives.
Recommended Citation
Dana G. Jones,
Never Trust, Always Verify, Securing Medicare's Future to Defend Against AI Driven Cyber Threats,
27
DePaul J. Health Care L.
(2026)
Available at:
https://via.library.depaul.edu/jhcl/vol27/iss1/2