Rethinking Frontier AI Safety Cases: Lessons from Safety-Critical Industries

A new research paper argues that current AI safety case methodologies lack rigor by over-relying on alignment community approaches instead of established safety assurance practices from aerospace, nuclear, and automotive sectors, proposing a stronger framework grounded in decades of safety-critical system validation. Read more

Taiwan April 2026 Public Cyber Signals: Listed-Company Incident Disclosures in Context

Nogosee monitored 13 Taiwan listed-company cyber incident disclosures in April 2026. The cleaned month is incident-only: 13 incident records, 0 governance records, and 0 procurement records. This is a MOPS incident-disclosure snapshot for analyst workflow use, not a complete census of Taiwan cyber activity. Read more

Hong Kong Finance and Cloud Security Escalation Checklist: Practical Workflow for GovCERT.HK Alerts

Use this practical checklist to triage Hong Kong finance, cloud, identity, telecom, and critical-infrastructure signals from GovCERT.HK. It provides reader-focused steps, decision criteria, ownership guidance, and escalation thresholds based on alert type, sector relevance, and threat level—without implying new publication or inventing numeric thresholds. Read more

How to Build a Lightweight East Asia Vendor Risk Watchlist Using Public Sources

Create a practical vendor risk watchlist by leveraging Nogosee’s East Asia Cyber & AI Risk Tracker to monitor public signals from Taiwan, Japan, Korea, China, Singapore, Philippines, and Thailand. Focus on structured signal review, ownership assignment, and flexible escalation based on operational relevance. Read more