Industry Perspectives
Analysis and curated insights on systemic risk, emerging threats, and the evolving healthcare risk landscape.
Predictive Models for Cyber Threat Detection in Healthcare
Predictive models score EHR, device, network, identity, and vendor signals to flag threats early while preserving clinical safety.
Read Post >>HIPAA Compliance with IAM in AWS, Azure, GCP
Treat cloud IAM as the control plane for ePHI: one account per person, enforced MFA, least privilege, and protected audit logs.
Read Post >>DNV Certification for Healthcare Cybersecurity
Compare DNV AHCC, HITRUST, ISO 27001/27701/27799 and NIST CSF to choose the right healthcare cybersecurity approach.
Read Post >>How API Vulnerabilities Lead to Healthcare Data Breaches
How broken auth, weak tokens, and misconfigured FHIR endpoints expose PHI—and what to do about it.
Read Post >>FDA Cybersecurity Rules for Third-Party Vendors
Section 524B extends FDA cybersecurity to third-party software: SBOMs, supplier controls, patching, and postmarket CVE management.
Read Post >>Top Features of Vendor Vulnerability Scanning Tools
Healthcare vendor scanners need PHI-aware risk scoring, safe IoMT scans, asset discovery, web/API testing, and remediation tracking.
Read Post >>AES-256 Encryption for Healthcare Data-at-Rest
AES-256 for PHI at rest: when to use XTS vs GCM, centralize keys in KMS/HSM, and keep audit-ready evidence.
Read Post >>10 HITECH Act Requirements for Healthcare IT
10 HITECH rules: map ePHI, run risk analysis, apply safeguards, sign BAAs, encrypt, detect/report breaches, train staff, keep records.
Read Post >>Key GDPR Principles for U.S. Healthcare Providers
Practical GDPR guidance for U.S. healthcare: scope, lawful bases, patient rights, DPIAs, vendor oversight, and breach timelines.
Read Post >>How to Safely Adopt Automated Threat Hunting with AI
Learn 3 rules for safe AI threat hunting: narrow scope, strict guardrails, and step-by-step autonomy for security teams.
Read Post >>Study: Impact of Authentication on Medical Device Security
Weak authentication on medical devices risks therapy changes, false data, and patient harm; balance strong controls with workflow.
Read Post >>Cloud PHI Threats: Real-Time Anomaly Detection
Real-time anomaly detection must pair identity, runtime, and IoMT telemetry to protect cloud PHI without disrupting care.
Read Post >>How to Prepare for the HIPAA Security Rule Overhaul
Learn 7 proposed HIPAA Security Rule changes for healthcare, including MFA, encryption, risk analysis, incident response, and third-party reviews.
Read Post >>10 FHIR API Security Best Practices
Layer FHIR API defenses—TLS/mTLS, OAuth2/SMART, OIDC, fine-grained scopes, encryption, auditing, consent, and continuous testing—to reduce PHI exposure.
Read Post >>How AI Detects IoMT Cyber Threats
AI finds IoMT anomalies faster, but governed response is required to turn detection into real risk control.
Read Post >>Third-Party Roles in Post-Incident Recovery: Q&A
Defined vendor roles, strict recovery SLAs, and regular drills speed safe healthcare recovery and protect patients.
Read Post >>Vendor Risk Tiering Models Explained
Score and tier healthcare vendors by PHI exposure, clinical impact, connectivity, and business reliance to prioritize oversight.
Read Post >>Ultimate Guide to API Encryption Standards in Healthcare
Treat TLS 1.2+ (prefer TLS 1.3), AES-256 at rest, mTLS, strong KMS, and OAuth as the baseline for PHI API security.
Read Post >>10 Must-Have Documents for Privacy Audits
Records, not rhetoric, decide HIPAA audits—have ten dated, auditable documents ready or expect findings.
Read Post >>Ultimate Guide to Ransomware Mitigation in Healthcare
Prevent, contain, and recover from ransomware in healthcare: harden access, segment systems, secure backups, and meet HIPAA rules.
Read Post >>Ultimate Guide to Cloud Vendor Risk Management
Practical steps for healthcare orgs to identify, assess, monitor, and respond to cloud vendor risks, including BAAs, audits, continuous monitoring, and backups.
Read Post >>The AI Policy Playbook: Essential Guardrails for Healthcare Innovation
Practical guardrails for safe healthcare AI: validation, monitoring, bias testing, vendor controls, and HIPAA compliance.
Read Post >>Study: NIST Framework Impact on Healthcare Security
How the NIST Cybersecurity Framework boosts healthcare security—faster detection, fewer breaches, lower cyber insurance costs, and stronger vendor risk oversight.
Read Post >>SOC 2 PHI Training: What Healthcare Vendors Need
Practical guidance for healthcare vendors to design SOC 2–aligned PHI training: role-based lessons, regular refreshers, documentation, and audit-ready automation.
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