Industry Perspectives

Learn how healthcare organizations can effectively conduct ISO 27001 risk assessments to safeguard sensitive data and enhance patient trust.

Protect patient safety by managing vendor risks to oncology equipment, drugs, and IoMT through continuous monitoring, compliance, and incident planning.

Explore the pros and cons of break-glass access in healthcare, balancing emergency access with data security and compliance challenges.

Explore the critical safety considerations of vendor risk management in blood banks, focusing on cybersecurity and compliance challenges.

Explore how predictive AI transforms healthcare risk management from reactive responses to proactive strategies, enhancing cybersecurity and compliance.

Explore best practices for enhancing cybersecurity in medical devices, from continuous monitoring to automated risk management solutions.

Explore modern solutions for third-party security risks in healthcare, emphasizing automation, compliance, and scalable risk management strategies.

Explore essential practices for securing remote healthcare access, including MFA, RBAC, encryption, and device management to protect patient data.

Practical guidance for medical device makers on meeting FDA IoT cybersecurity rules: lifecycle risk management, SBOMs, secure updates, threat modeling.

Learn essential strategies for implementing cloud PHI encryption at rest to safeguard sensitive patient data and ensure compliance with regulations.

Cybersecurity has become a vital board-level priority in healthcare, driven by rising threats and regulatory demands, impacting patient trust and safety.

Hospitals now face greater financial risks from cyberattacks than from natural disasters, highlighting the need for enhanced cybersecurity measures.

AI-driven behavioral analytics detects insider threats faster, cuts false positives, automates responses, and protects patient data across healthcare systems.

BAAs enforce HIPAA protections for PHI while SLAs set uptime, RTO/RPO and support metrics; together they ensure secure, reliable healthcare cloud services.

How AI enables autonomous cyberattacks on healthcare—from prompt injection and AI-driven ransomware to IoMT exploits—and how inventories, oversight, and monitoring reduce risk.

Compare anonymization and pseudonymization in healthcare: impacts on PHI status, re-identification risk, security controls, and when to use each method.

Anesthesia systems pose cybersecurity risks that can jeopardize patient safety, highlighting the need for robust vendor risk management strategies.

AI speeds threat detection and response in healthcare, automating routine security tasks while humans retain oversight for risk, compliance, and patient safety.

Examines AI's ICU benefits—early detection, ventilation optimization, and ECG accuracy—and the cybersecurity, bias checks, and governance needed to protect patients.

Explore how AI is revolutionizing risk-based auditing in healthcare, enhancing compliance, and addressing regulatory challenges in real-time.

AI enables real-time risk scoring, predictive analytics, and centralized vendor oversight in clinical settings while highlighting bias, transparency, and regulatory limits.

Explore how AI is revolutionizing healthcare cybersecurity with real-time monitoring, predictive analytics, and automated risk assessments.

Explore how AI tools enhance compliance risk assessments in healthcare, streamlining processes and safeguarding sensitive data.

AI-enabled medical devices create new cybersecurity risks to patient safety; defenses include data integrity, adversarial testing, secure SDLC, vendor controls, and regulatory alignment.