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.

Instead of asking only whether the application is secure, they should also ask whether someone could use the AI to learn information they were never authorized to access. That shift in thinking represents an important evolution in healthcare cybersecurity.

Healthcare organizations constantly balance patient care with technology management. A firewall rule may be temporarily modified so a vendor can troubleshoot an integration, multi-factor authentication (MFA) may be bypassed while an employee replaces a lost phone, or a service account may receive elevated permissions during a software migration.

Cybersecurity strategies have traditionally focused on keeping data safe before and after it is used. Today, organizations are recognizing that attackers may target the moment when information is actively being processed. Confidential computing addresses this challenge by introducing new protections that help secure data even while applications are working with it.