All news with #ai risk management tag

Cloudflare Application Confidence Scores for AI Safety

🔒 Cloudflare introduces Application Confidence Scores to help enterprises assess the safety and data protection posture of third-party SaaS and Gen AI applications. Scores, delivered as part of Cloudflare’s AI Security Posture Management, use a transparent, public rubric and automated crawlers combined with human review. Vendors can submit evidence for rescoring, and scores will be applied per account tier to reflect differing controls across plans.

Friday Squid Blogging: Bobtail Squid and Security News

🦑 The short entry presents the bobtail squid’s natural history—its bioluminescent symbiosis, nocturnal habits, and adaptive camouflage—in a crisp, approachable summary. As with other 'squid blogging' posts, the author invites readers to use the item as a forum for current security stories and news that the blog has not yet covered. The post also reiterates the blog's moderation policy to guide constructive discussion.

Bruce Schneier to Spend Academic Year at Munk School

📚 Bruce Schneier will spend the 2025–26 academic year at the University of Toronto’s Munk School as an adjunct. He will organize a reading group on AI security in the fall and teach his cybersecurity policy course in the spring. He intends to collaborate with Citizen Lab, the Law School, and the Schwartz Reisman Institute, and to participate in Toronto’s academic and cultural life. He describes the opportunity as exciting.

Data Integrity Must Be Core for AI Agents in Web 3.0

🔐 In this essay Bruce Schneier (with Davi Ottenheimer) argues that data integrity must be the foundational trust mechanism for autonomous AI agents operating in Web 3.0. He frames integrity as distinct from availability and confidentiality, and breaks it into input, processing, storage, and contextual dimensions. The piece describes decentralized protocols and cryptographic verification as ways to restore stewardship to data creators and offers practical controls such as signatures, DIDs, formal verification, compartmentalization, continuous monitoring, and independent certification to make AI behavior verifiable and accountable.

Building the Frontier Firm with Microsoft Azure Modernization

🚀 Microsoft frames a new enterprise archetype—Frontier Firms—that embed AI agents across workflows and rearchitect operations around a modern cloud foundation. The post warns that AI cannot scale on legacy systems and that technical debt undermines agility, security, and innovation. It cites IDC findings showing substantial gains in agility, resilience, ROI, and speed to market when organizations migrate and modernize on Azure, and urges continuous modernization and use of Microsoft’s App Modernization Guidance.

Dow's 125-Year Legacy: Innovating with AI for Security

🛡️ Dow is integrating AI into enterprise security through a strategic partnership with Microsoft, deploying Security Copilot and Microsoft 365 Copilot within its Cyber Security Operations Center. A cross-functional responsible AI team established principles and acceptable-use policies while assessing new AI risks. AI-driven tools are used to detect phishing and BEC, automate repetitive tasks, enrich tickets with contextual intelligence, and accelerate incident response. Apprentices leverage Copilot as a virtual mentor, shortening ramp time and enabling senior analysts to focus on proactive defense.

SAFECOM/NCSWIC AI Guidance for Emergency Call Centers

📞 SAFECOM and NCSWIC released an infographic outlining how AI is being integrated into Emergency Communication Centers to provide decision-support for triage, translation/transcription, data confirmation, background-noise detection, and quality assurance. The resource also describes use of signal and sensor data to enhance first responder situational awareness. It highlights cybersecurity, operability, interoperability, and resiliency considerations for AI-enabled systems and encourages practitioners to review and share the guidance.