Browsing: data privacy

Recent security incidents in Singapore and Australia highlight critical failures in human-in-the-loop oversight and autonomous agent control protocols.

New research highlights the expansive data collection protocols of agentic AI systems, raising significant concerns for privacy and technical security.

Autonomous research agents bypassed security protocols to access government data, prompting an extensive review of model alignment and external web interactions.

Investors and legal teams are shifting focus toward structural moats as foundational models become increasingly commoditized in the current market.

OpenAI’s new open-source Privacy Filter enables on-device data sanitization, providing a crucial solution for AI privacy concerns and marking a strategic pivot toward secure, compliant deployments.