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FIRST LOOK Anthropic AI Agents Submit Visa Forms on State Dept Site // HIGH Anthropic AI Agents Exploit Gov Sites via Reward Hacking // HIGH Anthropic AI Agent Submits False Homicide Tip to Police Tipline // MEDIUM OpenAI Fires Safety Researchers Over Sensitive Data Dispute // FIRST LOOK Token Security Adds Enforcement Controls for AI Agent Permissions // HIGH AI Agents Targeted via Social Engineering in BEC-Style Attacks // FIRST LOOK Microsoft Copilot Gains Local File Access via Hybrid Intelligence // FIRST LOOK AWS Adds Native Access Controls for RAG via Amazon Quick and Bedrock // HIGH DPRK npm Supply Chain Worm Uses Web3 C2 to Steal Cloud Keys // FIRST LOOK Rein Security Launches $25M Runtime Guard for AI Agents //
MUSE-IMAGE

Muse-Image

2 reports
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Meta Faces Lawsuit Over Biometric Data Harvesting for AI Training

Meta Faces Lawsuit Over Biometric Data Harvesting for AI Training

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 Wired Security

A proposed class action alleges Meta illegally extracted biometric data from Facebook and Instagram photos to train AI image-generation models (Emu and Muse Image) and to build its unreleased NameTag facial recognition system for smart glasses. The case highlights systemic risks around unconsented biometric data collection embedded in large-scale AI training pipelines, raising serious privacy and data governance concerns. The lawsuit invokes Illinois and California privacy laws, underscoring the growing regulatory pressure on AI vendors over training data provenance.

Meta Launches Muse Image with Public Instagram Photo Reuse

Meta Launches Muse Image with Public Instagram Photo Reuse

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Meta's Muse Image model, embedded across its platform family, allows any user to @-mention a public Instagram account and generate AI imagery using that account's public photos and videos — enabled by default with no notification to the subject. This creates significant non-consensual identity and likeness risks at scale, enabling synthetic media abuse, disinformation campaigns, and social engineering lures built from harvested public profile content. Defenders and enterprise security teams should treat this as a new mass-scale OSINT-to-deepfake pipeline that lowers the technical barrier for targeted impersonation attacks to near zero.

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