2026 Cybersecurity Roadmap: Securing Healthcare Imaging in the Age of AI

Healthcare data is a prime target for cybercriminals due to the immense value of sensitive patient data on the black market. Cybercriminals operate on the assumption that healthcare organizations are willing to pay a ransom to regain access to this data and restore normal operations. Recent cyber attacks on major healthcare organizations have exposed the industry’s vulnerabilities.

One of the most significant ransomware attacks occurred in February 2024, targeting Change Healthcare. This attack paralyzed healthcare operations nationwide, affecting claims processing, billing, and pharmacy services across the country. Considered to be the most significant U.S. healthcare data breach to date, compromising the personal and health information of approximately 190 million people.

How did this attack happen? The hackers exploited a Citrix remote access gateway that lacked multi-factor authentication, logging in with pilfered credentials. The hackers then deployed ransomware, encrypting critical systems. The impact incurred astronomical financial costs, with UnitedHealth Group spending more than $2.4 billion. The breach also caused widespread operational disruption, with providers resorting to manual workflows and delaying patient care.

This incident is a reminder of the importance of robust cybersecurity in healthcare. A comprehensive cybersecurity strategy must include multi-factor authentication, network segmentation, and continuous threat monitoring.

Identity Is the New Perimeter

In the API-enabled, hybrid world, this distinction between inside and outside is no longer so pronounced. Every device, process, and human touchpoint requires continuous authentication. Identity, then, is a security problem and the primary organizing principle for access and governance.

Authentication is now contextual, risk-based, and usually transparent to the user. Behavioral biometrics, device reputation, and AI-powered anomaly detection augment passwords and even multi-factor authentication. The objective is not simply granting or blocking access but doing so adaptively and intelligently.

Zero trust is not a bumper sticker—it is an operational reality. And it’s only achievable if identity systems are speedy, accurate, and tightly integrated across the enterprise.

Protocols as Battlegrounds

The protocols used to drive healthcare, finance, and critical infrastructure, such as DICOM, HL7, OAuth, and FHIR, were designed for performance and interoperability rather than security. Attackers know this. Attackers now exploit protocol logic as frequently as they exploit unpatched systems.

These systems scan for weaknesses in data swapping, processing, and comprehension. Attackers no longer “break in”; they “log in,” exploiting identity weaknesses, antiquated procedures, or inferred trust between systems.

Due to this, imaging ecosystems need to become interoperable while remaining secure through orchestration. Dynamic monitoring engines, powered by AI, and the enforcement of policies in real-time are essential to preventing data leakage and maintaining operational integrity.

AI vs. AI: The Automated Arms Race

AI is a cybersecurity asset and an attack vector today. Defensive AI engines continuously parse petabytes of log data, detect anomalous behavior, and respond to threats in real time. However, generative and adversarial AI evolves just as rapidly, weaponized to automate attacks, evade detection, and probe for weaknesses at scale.

Attackers can now:

Employ hyper-personalized language models to script phishing campaigns.
Utilize generative techniques to obfuscate malware signatures.
Deploy reinforcement learning algorithms to test defenses and identify vulnerabilities.

Cybersecurity can no longer be reactive. As cyber threats continue to evolve, healthcare organizations must adopt a proactive strategy to protect patient data and the continuity of care delivery, which requires a mindset shift. It’s all about using AI for detection, active threat engagement, quick containment, and predictive response.

10 Cybersecurity Best Practices to Secure an Enterprise Imaging Environment and Mislead Hackers

Strategic defense begins with tactical discipline. In imaging environments and healthcare networks, where protected health information (PHI) is constantly in motion, these 10 steps provide a beginning point for keeping attackers at bay and operations intact:

Minimize network exposure for all control system devices and/or systems, and ensure they are NOT accessible from the Internet. DICOM is not a secure protocol.
Locate control system networks and remote devices behind firewalls and isolate them from business and other end-user networks.
Use DICOM over TLS as it is highly desirable and recommended.
Make sure a valid certificate is loaded on the server for DICOM over TLS and HTTPS traffic. A local CA authority can sign it, but it has to be valid. Encryption ciphers need to be verified and comply with the latest version. The cipher suite has been whittled down substantially for TLS 1.3, to the point where there are five recommended cipher suites:
- TLS_AES_256_GCM_SHA384
- TLS_CHACHA20_POLY1305_SHA256
- TLS_AES_128_GCM_SHA256
- TLS_AES_128_CCM_8_SHA256
- TLS_AES_128_CCM_SHA256
If secure transmission over TLS is not available and remote access is required, use secure methods, such as Virtual Private Networks (VPNs). Recognizing that VPNs may have vulnerabilities of their own, they should be on the most current version available. Also, realize that a VPN is only as secure as the devices connected within its boundaries.
Only allow access to devices with which you are communicating, and ensure that promiscuous access is disabled. Imaging device vendors can only allow DICOM traffic to and from specific devices.
Don’t run programs as root. Run programs as a user with restricted access.
Set permissions to restrict access to specific files for users running the application. The rest should have no access.
Introduce chroot access. A program that is in a modified environment and cannot name (and therefore typically cannot access) files outside the designated directory tree. The term “chroot” may refer to the chroot(2) system call or the chroot(8) wrapper program. The modified environment is known as a chroot jail. Containers are chroots on steroids.
No remote access is available for admin users (root), and Active Directory or single sign-on authentication is required for regular users to access remotely.

Using these technical best practices alongside strategic oversight reduces risk and complicates the attack vector, giving organizations more time to detect and respond to potential threats.

Surveillance, Privacy, and Ethical Conflict

As AI continues to integrate into cybersecurity, the ethical trade-offs become increasingly urgent. The tension between safeguarding systems and safeguarding privacy has never been higher. Companies are tracking patterns of behavior, network traffic, and endpoint interactions.

Surveillance is necessary when conducted properly to prevent breaches. When surveillance fails, trust is lost, there is potential for legal repercussions, and a brand is damaged.

Balance is attained by:

Privacy-preserving AI models that reason on data without having access to sensitive data.
Open government practices must be held accountable for their surveillance activities.
Federated learning enables the distributed training of AI models without requiring the data to be centralized.

Security is no longer an isolated entity. It aligns with ethics, regulations, and the social contract between an organization and its stakeholders.

Deception as a Defensive Weapon

Whereas intruders used automation to scan, spoof, and slow down, the defenders now leverage it to deceive, confound, and stall.

Cyber deception solutions are now production-grade capabilities:

Honeynets impersonate essential infrastructure.
Decoy credentials trigger when called upon.
Phantom systems lead attackers into controlled sandboxes.

These are not tricks. Deception adds to the attacker’s workload, provides actionable intelligence, and helps deliver early warnings before a breach is detected. In an era of difficult attribution and limited time, deception is not a good thing—sheer asymmetric warfare on our part.

Resilience, Not Just Defense

The most secure networks aren’t always unbreachable—they’re responsive. They can sense when to increase the level of trust, isolate systems, and cut off a data stream.

Security today must:

Distributed – in each location on cloud, edge, and endpoint.
Contextual – user behavior, intent, and context-driven.
Orchestrated – AI-, identity-, and infrastructure-aware platforms that govern.

Security is no longer an afterthought. It’s a design requirement. In a world where your enemy is smart, your defense must be smarter, faster, and more agile than the threats you’re protecting against.