Track East Asia cyber, AI, cloud, and infrastructure risk before it becomes an incident.
TitanCA, a joint project by Singapore Management University and GovTech Singapore, uses a four-module LLM agent pipeline to discover zero-day vulnerabilities, yielding 118 CVEs from 203 confirmed findings in open-source software, demonstrating a practical approach to reducing SAST false positives through AI orchestration. Read more
A Practical Workflow for What is KrCERT, and when should cloud teams act on South Korea alerts? helps security, cloud, and supplier-risk teams keep an East Asia cyber or AI-risk signal under review when there is no fresh publish-ready news item. It explains how to preserve the original link, separate visible evidence from assumptions, and route unclear findings without inventing unsupported claims. Read more
A Practical Workflow for Build an East Asia AI security watchlist for governance teams helps security, cloud, and supplier-risk teams keep an East Asia cyber or AI-risk signal under review when there is no fresh publish-ready news item. It explains how to preserve the original link, separate visible evidence from assumptions, and route unclear findings without inventing unsupported claims. Read more
A new study shows federated learning achieves sepsis prediction accuracy comparable to centralized models using data from three Chinese tertiary hospitals, without sharing raw patient data or enabling reconstruction attacks, offering a privacy-preserving framework for multi-center medical AI collaboration. Read more
This evergreen playbook provides practical workflow guidance for global security, cloud, and operations teams to monitor the TWCERT/CC English TVN RSS feed for Taiwan vendor vulnerability notes. It outlines how to preserve source integrity, separate observable facts from interpretation, and apply Nogosee workflow principles without inventing unsupported claims. The article supports continuous monitoring of thin signals in Taiwan’s cybersecurity landscape while maintaining rigorous evidentiary standards. Read more
This tutorial explains how to use CVSS vectors from JVN advisories to prioritize vulnerability verification by interpreting exploitability, impact, and deployment context. It provides actionable steps for security teams to triage JVN entries efficiently without relying on numeric scores alone. Read more
Since WormGPT emerged in June 2023, AI-driven hacking tools have spread via dark web, Telegram, GitHub, and Hugging Face, evolving into a hybrid market of paid SaaS and free open-source distribution. These tools automate phishing, malware development, reconnaissance, brute-forcing, vulnerability exploitation, and social engineering, lowering entry barriers while enabling autonomous attack orchestration, as seen in the Bissa Scanner case exploiting CVE-2025-55182 to compromise over 900 systems and steal 65,000+ credential files, including those linked to Anthropic, OpenAI, Google, AWS, Stripe, and PayPal. Read more
Use Nogosee’s tracker as a monitoring layer to verify ransomware victim claims by checking source-linked records, matching entities and sectors, and reviewing update cadence before escalation. Avoid unverified amplification by treating the tracker as a signal filter, not a confirmation source. Read more
JPCERT/CC issues vulnerability advisories and weekly reports via its RSS feed. Global security teams should use these alerts as technical signals for exposure review, verifying asset presence and patch status without assuming active exploitation or breach. Read more
This practical tutorial guides global security teams in evaluating Taiwan CERT/CC vulnerability notes for relevance to their enterprise software stack, vendor ecosystem, and cloud dependencies. It provides a step-by-step workflow for exposure assessment, ownership mapping, and escalation decisions without relying on arbitrary thresholds or publication cadences. Read more