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Dark Reading
Organizations disclose attack details, though information may be limited, following a breach, but what if they did the same with close calls?
Dark Reading
The Joint Cyber Defense Collaborative playbook seeks to establish a "a unified approach" on how to handle AI-related cybersecurity threats.
Dark Reading
Sharing information is critical to help organizations protect data and systems. To be even more effective, collaboration should be inclusive — vendors, researchers, and private companies large and small.
Bleeping Computer
The Department of Homeland Security is investigating a cyberattack that compromised the Homeland Security Information Network (HSIN), a sensitive information-sharing platform used by federal, state, local, and private-sector partners. [...]
Dark Reading
A recent congressional hearing highlighted how states are reeling from federal cutbacks to important cyber grants and information sharing initiatives amid damaging attacks to critical infrastructure.
Dark Reading
Industry and ad hoc coalitions appear poised to help fill the gap created by NIST's decision to cut back on CVE data enrichment.
The Register
Washington content to be represented by actual empty chairs Back in the day (circa 2023) when cybercrime group Scattered Spider and its help-desk voice-phishing calls were a relatively new threat, the feds considered pulling the government's top cyber-threat hunters and their private-sector counterparts into one room to share information, in real time, about this loosely knit extortion ring that was terrorizing enterprises.… RSA 2026
Dark Reading
The 'Breaking' News: The OpenAI–Hugging Face Incident - A Technical Reconstruction and Its Implications for AI At this Black Hat USA 2026 talk, OpenAI security engineers and researchers will reconstruct the OpenAI-Hugging Face incident and examine its implications for AI security, cyber resilience, and alignment. Throughout the session, they will share insights that address key topics raised by the Black Hat Review Board, including model safeguards, evaluation and containment practices, defensive use cases for AI, and the broader implications of increasingly autonomous systems for the cybersecurity community. The session will trace the models' attack path, including how frontier models are sandboxed during evaluations, how the models exploited a zero-day vulnerability to gain internet access, and how they identified and leveraged a remote code execution path on Hugging Face infrastructure. Drawing on the joint investigation, the speakers will explain how the activity was detected, contained, and investigated. They will also discuss the changes OpenAI is making to strengthen evaluation environments, containment controls, and monitoring capabilities, as well as the role AI systems played in supporting the investigation and response. In addition to the technical reconstruction of the incident, the session will address broader questions relevant to the security community, including lessons for improving AI system security, defensive applications of AI in incident response, and approaches to mitigating emerging risks associated with increasingly capable models. The discussion will also examine alignment challenges associated with long-running agents, including reward hacking, shifts in model behavior and persona over extended trajectories, and information sharing across multi-agent systems. Finally, the speakers will explore what this incident suggests about emerging AI cyber capabilities and how organizations can use AI to strengthen prevention, detection, investigation, and response efforts.
The Register
Act passed in 2015 is due to lapse unless a continuing resolution passes - and that's unlikely Barring a last-minute deal, the US federal government would shut down on Wednesday, October 1, and the 2015 Cybersecurity Information Sharing Act would lapse at the same time, threatening what many consider a critical plank of US cybersecurity policy.…