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GUEST ESSAY: Securely managing access controls is vital to preserving the privacy of healthcare data

The Last Watchdog

Related: Hackers relentlessly target healthcare providers. However, healthcare data ranks at the top of the list for needing improvements in security and privacy protections. There are many reasons for the vulnerable state of healthcare data. Healthcare data security and privacy is a problem that continues to grow.

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Royal Ransomware Targeting U.S. Healthcare

SecureWorld News

The United States Department of Health and Human Services' (HHS) security team (the Health Sector Cybersecurity Coordination Center or HC3) released a report detailing how Royal ransomware has been used to target the healthcare sector. Since the beginning of the pandemic, cyberattacks targeting healthcare have increased dramatically.

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Securing Healthcare Data Warehouses: Best Practices for Data Security and Privacy

CyberSecurity Insiders

Securing the healthcare data warehouses themselves is equally vital to ensure the software applications’ security in their development and maintenance. Use strong access controls: Setting up strict access restrictions is one of the critical elements in securing healthcare data warehouses.

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GUEST ESSAY: Taking a systematic approach to achieving secured, ethical AI model development

The Last Watchdog

They are used in healthcare, finance, transportation, and education, significantly impacting society. Digital signatures ensure the integrity and authenticity of models, confirming they have not been altered. Consequently, ensuring the security of these models has become a top priority to prevent potential risks and threats.

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How to make sure your digital transformation is secure

CyberSecurity Insiders

However, their integration raises new challenges around security, privacy and the reliability of underlying systems that a business utilises, which, in turn, requires the support of strong cybersecurity architecture. Untapped potential.

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NIST Report Highlights Rising Tide of Threats Facing AI Systems

SecureWorld News

Artificial intelligence (AI) promises to transform major sectors like healthcare, transportation, finance, and government over the coming years. But the advanced machine learning (ML) models powering this AI revolution also introduce new vectors of attack for malicious actors. As adoption accelerates, so too do emerging cybersecurity risks.

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Thales CipherTrust Data Security Platform Support for Intel TDX Confidential VMs on Microsoft Azure Thales, Intel, and Microsoft Azure Deliver End-to-End Data Protection

Thales Cloud Protection & Licensing

As enterprises migrate sensitive data and workloads to the cloud such as financial information, healthcare records, IP-protected machine learning/artificial learning (ML/AL) models, personal customer data, or similar – increasing attack surface. Therefore, there is a need to continually raise the bar in cloud security.