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AI-driven threats are blurring cyber and physical security, making integrated, cross-functional defense essential for resilience.
Threat groups are leveraging stolen AI credentials and victim cloud environments to launch distillation attacks and build AI-powered exploitation and post-exploitation pipelines.
Enterprises have spent years worrying about what employees put into AI. The Watson Grinding litigation shows why they also need to think about the record those interactions leave behind.
After plowing through four million more chat transcripts, though, it hasn’t found any further incidents.
Controlled experiments reveal that enriched network telemetry dramatically outperforms basic logs across investigation benchmarks.
The ‘BlueMoon’ attack chains three high-severity Chrome and Windows flaws, raising concerns that sophisticated exploitation is becoming faster and more reusable.
Researchers warn that trusted AI agents can act as proxies for privileged accounts when user permissions are not enforced downstream.
For centuries, navigators guessed their way across oceans and sometimes ran aground. Security faces the same lesson: truth beats hopeful computation.
Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities as concerns grow about agentic tools security risks.
Cross-account task execution exposed Gmail data without user awareness, raising new concerns for enterprise AI security.
