AI applications in healthcare, such as diagnostics and treatment optimization, bring significant benefits but also raise ethical concerns, such as data breaches, biased algorithms, transparency, and patient consent. To ensure patient trust and safety, solutions such as data encryption, diverse algorithm training, and ongoing monitoring are needed. A collaborative approach involving diverse perspectives and stakeholders, including ethicists, healthcare professionals, and patient advocacy groups, is key to developing ethical, user-centric AI systems.
AWS Bedrock AgentCore Sandbox Bypass Enables Stealthy C2 and Data Exfiltration
A newly disclosed vulnerability in AWS Bedrock AgentCore Code Interpreter allows threat actors to bypass network isolation and establish stealthy command-and-control (C2) channels. AWS originally
