Shadow IT in healthcare can quietly expand an organization’s attack surface without appearing on the security team’s inventory, dashboards, or routine vulnerability reports. A forgotten virtual machine, temporary file-sharing platform, legacy database, testing server, or locally deployed application may continue operating long after its original purpose has ended.

Healthcare ransomware defense must address more than the malicious software deployed at the end of an attack. Modern ransomware operations function like businesses, with attackers investing in infrastructure, stolen credentials, malware development, affiliates, and access brokers because they expect a financial return.

Adversarial AI in healthcare introduces a new cybersecurity challenge that reaches beyond stolen data and ransomware. As hospitals, physician practices, imaging centers, and health systems adopt artificial intelligence for medical imaging, documentation, billing, scheduling, and clinical decision support, they must also protect the information being fed into those systems. If attackers can manipulate AI inputs without noticeably changing what clinicians see, they may be able to influence the output of systems that support patient care.

Session cookie security in healthcare addresses a critical part of identity protection that begins after a user successfully completes login and multi-factor authentication. Hospitals, physician practices, medical billing companies, specialty clinics, and other healthcare organizations increasingly rely on browser-based patient portals, cloud EHR systems, scheduling platforms, claims tools, and administrative applications.

An AI Bill of Materials is an emerging approach to documenting the components, dependencies, and lineage associated with an artificial intelligence system. The concept shares similarities with a Software Bill of Materials (SBOM), which provides visibility into software components and dependencies. An AIBOM expands that concept to address characteristics specific to AI systems.

Deception technology in healthcare is becoming an increasingly valuable cybersecurity strategy as ransomware groups and other threat actors adopt more sophisticated methods to infiltrate healthcare networks.