Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A new survey by cybersecurity vendor Netwrix found that 84% of healthcare organizations spotted a cyberattack in the past twelve months, with phishing attacks accounting for 63% of these incidents. “Phishing was the most common type of incident experienced on premises, similar to other industries,” Netwrix says. “Account compromise topped the list for cloud attacks: 74% of healthcare organizations that spotted a cyberattack reported user or admin account compromise.”

Protegrity specializes in protecting sensitive data, a focus we’ve maintained for around 20 years. Our customer base includes many large enterprises, particularly in the healthcare and financial sectors, spanning across the globe. Our clients include some of the most renowned companies worldwide.

Cyber Essentials scheme is a UK government-backed initiative designed to help organisations, large or small, shield themselves from common cyber threats. It outlines a straightforward set of technical security controls that, when appropriately implemented, can reduce an organisation’s attack surface. This is particularly vital for NHS and healthcare organisations. They handle NHS data that needs robust protection.

Protecting sensitive information is critical in healthcare. Personally Identifiable Information (PII) and Protected Health Information (PHI) form the foundation of healthcare operations. However, these data types come with significant privacy risks. Advanced de-identification techniques provide a reliable way to secure this data while complying with regulations like HIPAA.

In an era where healthcare data fuels innovation, ensuring the privacy and security of Protected Health Information (PHI) remains a top priority. With the increasing adoption of AI, machine learning, and data analytics in healthcare, organizations must comply with strict privacy regulations while maintaining data utility.

With the increasing adoption of artificial intelligence (AI) in healthcare, securing patient data has never been more critical. Protected Health Information (PHI) and Personally Identifiable Information (PII) must be safeguarded to comply with regulatory standards like HIPAA while still being usable for AI-driven analytics. Two key techniques for data security are data masking vs de-identification.

In the hands of the right individuals, healthcare data can be of immense value. Place it in the wrong hands, however, and it can also be a significant privacy risk. PHI or Protected Health Information can contain many details that directly identify a person. These can be names, addresses, financial data, medical histories, etc.; personal identifiers that can point to specific people.

The healthcare industry stands at the cusp of a major transformation with the introduction of the Healthcare Information Security Accountability Act (HISAA), a progressive regulatory framework set to replace the decades-old Health Insurance Portability and Accountability Act (HIPAA). HISAA is designed to address the evolving complexities of healthcare data management, emphasizing real-time data governance, proactive monitoring, and stricter controls over third-party data exchanges.

Medical data privacy and patient data security are paramount in today’s digital age. The rapid advancement of AI and big data has revolutionized healthcare and introduced significant challenges in protecting sensitive health information. De-identification, the process of removing personally identifiable information (PHI) from medical records, is crucial for balancing patient privacy with the need for research and innovation.