Data / Tool
Open the risk workbench
Search records, inspect source links, compare priority, export capped samples, and check source freshness before deciding what deserves deeper review.
What to extract from a ransomware leak post without amplifying it
This checklist guides security teams in East Asia and globally on how to extract verifiable, low-risk intelligence from ransomware leak posts—focusing on entity identifiers, proof types, data categories, verification steps, and clear escalation paths—while avoiding amplification of unverified claims or harmful re-sharing.
Combine EPSS and KEV to prioritize CVEs without panic
This workflow guides East Asia security teams on using FIRST’s EPSS model and CISA’s KEV catalog to prioritize CVEs without panic, explaining EPSS as a probability-based exploit predictor, when KEV confirms active exploitation, and how to document exceptions in vulnerability management processes.
Use the CISA KEV catalog to build an East Asia supplier patch watchlist
This practical tutorial guides security teams in using the CISA Known Exploited Vulnerabilities (KEV) catalog to create a focused, actionable patch watchlist for East Asia-based suppliers. It outlines steps to map KEVs to supplier software inventories, assign ownership, set flexible escalation thresholds, and maintain evidence records—without relying on numeric thresholds or rigid schedules.
Identity Dark Matter Exposes Critical Gaps as Enterprises Rush to Deploy Agent AI
Orchid Security’s Identity Gap Snapshot 2026 reveals that unmanaged ‘identity dark matter’ now constitutes 57% of enterprise identity footprints, creating systemic risks as Agent AI adoption accelerates without corresponding identity governance improvements, enabling autonomous systems to exploit orphaned accounts, excessive privileges, and locally managed nonhuman credentials.
GovCERT.HK Confirms Active Exploitation of Trend Micro Vulnerabilities Across Apex One and Vision One Platforms
GovCERT.HK’s High Threat Security Alert A26-05-40 discloses multiple vulnerabilities in Trend Micro Apex One and TrendAI Vision One products, with CVE-2026-34926 confirmed as actively exploited in the wild. The flaws enable remote code execution, privilege escalation, information disclosure, and tampering, affecting both on-premises and SaaS deployments. Immediate patching is required to mitigate elevated cyber attack risks.
ASEC Weekly Report Flags Ransomware on Nova and Dark Web Code Leak Claims in South Korea
ASEC’s Ransom & Dark Web Issues report for week 3 of May 2026 details a ransomware attack on South Korean cosmetics firm Nova, alleged data leakage from an open-source visualization platform attributed to CoinbaseCartel, and claimed source-code theft and sale from a developer platform by TeamPCP, based on AhnLab TIP monitoring.
Microsoft Neutralizes Fox Tempest Infrastructure Abusing Artifact Signing for Global Ransomware Campaigns
Microsoft’s Digital Crimes Unit has disrupted ‘SignSpace,’ a prolific malware-signing-as-a-service operation run by the threat actor Fox Tempest. By weaponizing Microsoft’s own Artifact Signing system via stolen identities, the actor provided valid digital certificates to ransomware groups including Vanilla Tempest, Akira, and Qilin, allowing malicious payloads to bypass enterprise security controls globally.
How to score East Asia public signals before writing an article
This practical checklist guides security teams on using Nogosee’s public-signal scoring workflow to decide whether an East Asia cyber or AI signal should become an article, remain a tracker record, or be held for later review. It outlines decision criteria, ownership, escalation paths, and next steps without implying rigid thresholds or publishing cadences.
Keep monitor-only records useful without turning them into thin articles
Nogosee’s tracker-first policy allows monitor-only records to remain valuable through scoring, filtering, and brief queues without forcing weak signals into full articles. This workflow guides security, cloud, and operations teams on how to use the East Asia Cyber & AI Risk Tracker for repeatable monitoring, verification, and escalation while preserving source integrity and avoiding low-value publishing.
East Asia Cyber Risk Signal: What Security Teams Should Monitor
The paper proposes a novel approach to decentralize federated learning using blockchain technology and multi-task peer prediction to address the computational burden of contribution measurement on blockchain systems. It leverages smart contracts and cryptocurrencies to incentivize honest participation in AI training.