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Ransomware attacks surged after Change Healthcare hack Axios

Nurses are raising concerns about the integration of artificial intelligence (AI) into electronic health records (EHRs), arguing that the technology is ineffective and detracts from patient care. They report that AI-driven programs like automated nurse handoffs and patient classification systems frequently fall short of practical needs, citing examples where algorithms misjudge patient acuity or provide inaccurate warnings, like sepsis alerts. While companies like Epic and Oracle Health promote AI as a tool to enhance care and prevent adverse events, nurses insist that these systems fail to account for essential aspects of their workflow, such as patient education and compassionate care. Health systems like Kaiser Permanente and Keck Medicine are attempting to address these concerns by emphasizing that ultimate decisions are made by licensed nurses and that AI should assist rather than replace human judgment.

'I don't ever trust Epic to be correct': Nurses raise more AI concerns beckershospitalreview.com

Apple introduced Apple Intelligence at its WWDC event, a suite of AI tools for iPhone, iPad, and Mac, emphasizing both utility and data privacy. Apple Intelligence is designed to perform common AI tasks on-device, such as email drafting and call transcriptions, to ensure speed and privacy. For more complex tasks, the system reaches out to cloud servers in a secure manner. Notably, Apple uses its own AI models trained on publicly available data and licensed materials, rather than user data. The models are optimized for power efficiency and size to function effectively on Apple's devices. This dual approach aims to provide robust AI features while minimizing privacy concerns by keeping most data processing local and leveraging secure cloud computing for more intensive tasks. The success of this balance will be clearer once Apple Intelligence is fully deployed.

Here’s how Apple’s AI model tries to keep your data private The Verge

A recent series of attacks targeting databases of over 100 Snowflake customers has highlighted issues surrounding cloud security responsibilities, particularly the use of multifactor authentication (MFA). Snowflake attributed the breaches to customers' failure to implement MFA and manage credentials properly, noting that MFA is not enforced by default. This incident underscores the importance of incorporating secure-by-design principles, as advocated by the Cybersecurity and Infrastructure Security Agency (CISA). Snowflake's current MFA solution is limited and does not allow administrators to enforce it for specific roles. With increasing pressure, Snowflake plans to require advanced security controls but has yet to provide detailed measures. Experts argue that while customers share responsibility in securing their data, MFA should be a baseline security measure to prevent such attacks.

Snowflake-linked attacks are testing the cloud’s shared responsibility status quo Cybersecurity Dive