For decades, the standard practice in medical research and data sharing involved “anonymizing” patient records. The process seemed simple and secure: remove explicit identifiers like names and addresses, and the data could be safely used to train models, study populations, … Read More
Healthcare Technology
AI for Security Orchestration (SOAR): Automating Healthcare Incident Response
Picture a hospital network at 2 a.m. suddenly hit by a sophisticated cyberattack, perhaps a targeted spear phishing campaign leading to ransomware. Every second that the system is down is not just a financial loss, it directly impacts a patient’s … Read More
Homomorphic Encryption : Securing AI Model Training on Sensitive Hospital Data
We all know the staggering potential of Artificial Intelligence in healthcare, right? Imagine an AI system that can scan millions of patient records, from genetic markers to treatment outcomes, to pinpoint the single, best personalized therapy for a rare disease. … Read More
Phishing Defense AI : Using Generative Models to Block Advanced Social Engineering
Phishing attacks have entered a new and alarming era. We’re not just talking about emails with poor grammar and obvious mistakes anymore. Thanks to the same powerful large language models (LLMs) that help us write code or summarize documents, cybercriminals … Read More
Insider Threat AI : Detecting Malicious and Accidental Data Exposure in EHRs
In the complex, high stakes world of healthcare, we rightly focus on threats from outside the firewall, the relentless attacks from sophisticated cybercriminals trying to breach our defenses. But what if the biggest danger is already inside your network? We’re … Read More
Decentralized AI in Research : Secure Data Pooling Across Global Institutions
Imagine a future where the world’s most brilliant medical researchers, scattered across continents, can collaborate on a single, massive dataset without ever compromising a single patient’s privacy. Sounds like science fiction, right? Well, that future is arriving today through Decentralized … Read More
AI & Cyber-Physical Security: Protecting Clinical Systems from Physical Threats
Have you ever stopped to think about what keeps a hospital running? We often imagine the doctors, nurses, and high-tech surgical robots. But the silent, unseen heroes are the operational systems: the heating, ventilation, and air conditioning (HVAC); the medical … Read More
Synthetic Healthcare Data: Training models without compromising patient privacy
Imagine a world where artificial intelligence could diagnose rare diseases years before a human doctor, predict the next global health crisis, or personalize a cancer treatment plan down to your individual cell. That world is absolutely within our reach today, … Read More
AI Supply Chain Risk: Mitigating Vulnerabilities in Third-Party Healthcare Vendors
In the blink of an eye, the entire healthcare industry can be brought to its knees. If the massive Change Healthcare breach taught us anything, it’s that your organization is only as strong as its weakest vendor and many of … Read More
Post-Quantum Cryptography: Securing PHI from quantum attacks
Post-Quantum Cryptography is the single most important upgrade security teams protecting protected health information must consider today. If you store or transmit PHI you need a clear plan to reduce the risk that future quantum computers will expose patient data. … Read More