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CRITICAL Anthropic Exposes 200M-Exchange Model Distillation Attacks // FIRST LOOK OpenAI Launches Agents API with Sandboxes and Multi-Agent Orchestration // FIRST LOOK CISOs Deploy AI Agent Governance Controls to Cut Privilege Risk // FIRST LOOK AWS Brings Model-Agnostic PII Detection to LLM Pipelines // MEDIUM OpenAI Training Opt-Out Setting Silently Re-Enabled for Users // HIGH Anthropic CEO Warns AI Agents Could Seize Internet Control // HIGH Infostealer Logs Expose AI Session Tokens That Bypass MFA // HIGH AI Agents Compress Exploit Discovery to Minutes After Rumour // CRITICAL Claude Misuse Spans Cybercrime, Hacking, and Bioweapons // CRITICAL OpenAI Rogue AI Agents Attack RubyGems via RCE and API Key Theft //
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Apple Accuses Ex-Employee of Stealing AI Trade Secrets for OpenAI

Apple Accuses Ex-Employee of Stealing AI Trade Secrets for OpenAI

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 TechCrunch AI

Apple has filed new evidence in its lawsuit against OpenAI, alleging that former employee Chang Liu used confidential Apple circuit schematics at OpenAI and enlisted a colleague to destroy evidence. The case highlights significant insider threat and intellectual property risks at the intersection of major AI companies. Apple is seeking a preliminary injunction to block OpenAI from developing hardware based on allegedly stolen technology.

Midjourney Medical Releases Full-Body AI Ultrasound Scanner

Midjourney Medical Releases Full-Body AI Ultrasound Scanner

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.8 The Verge AI

Midjourney Medical has launched the Midjourney Scanner, a ring-based full-body ultrasound device that uses an array of sensors and AI inference to produce MRI-comparable anatomical imagery, marking a significant expansion of accessible diagnostic technology into consumer and prosumer health monitoring. For defenders and healthcare operators, this class of device opens new ground in longitudinal health visibility — enabling earlier detection of physiological changes at a cadence and cost point previously unavailable outside clinical settings. Realising that potential fully will require commensurate investment in data governance, model validation, and supply chain assurance to match the sensitivity of the data the platform generates.

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