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.
Track East Asia cyber, AI, cloud, and infrastructure risk before it becomes an incident.
Monitor public cyber, AI, cloud, CERT, procurement, and infrastructure signals across Taiwan, Japan, and Korea in English. Other regions remain slow watchlist context while the core three-country dataset gets deeper.
Data / Tool
Search records, inspect source links, compare priority, export capped samples, and check source freshness before deciding what deserves deeper review.
Editorial / Workflow
Move from country and topic collections into repeatable triage workflows, weekly review, API evaluation, and source-grounded brief archives.
Search by country, CVE, company, sector, source family, and threat theme instead of reading a loose article feed.
Open source-linked records, compare priority, dates, and collection context, then decide what deserves analyst time.
Use capped CSV, indicator CSV, RSS, local watchlists, and shareable tracker queries for repeat team review.
Request full feeds, historical exports, API integration, or custom monitoring when the public layer proves workflow fit.
Regional Public Signals Layers
Public-record layers turn local disclosures, advisories, procurement notices, and regional incident signals into structured data. Current execution is focused on making Taiwan, Japan, and Korea deeper, cleaner, fresher, and more useful while non-core regions grow only as slow watchlist context.
Last source check: MOPS historical catch-up at 2026-05-26 13:41. Government procurement, MOPS, TWCERT/CC TVN, and guarded TWCERT/CC security-news sources are monitored; new records enter the database before any article decision.
Summary generated 2026-05-26 19:12Original: 本公司網路資安事件說明
Taiwan organization (5287) / 數字 (5287)Original: 有關集團北美部分廠區遭網路攻擊說明
Hon Hai / Foxconn (2317) / 鴻海 (2317)Original: 本公司網路資安事件說明
HCT Logistics (2619) / 新竹物流 (2619)Why Nogosee
Under-covered East Asia public signals are normalized for global security, cloud, governance, and supplier-risk teams.
Nogosee is not a mass rewrite feed. Records enter structured monitoring first; briefs are selective and source-grounded.
Tracker entries preserve source links, timelines, sectors, tags, importance signals, and export paths for repeat review.
Track East Asia cyber, AI, cloud, and infrastructure risk before it becomes an incident.
CrowdStrike released a root-cause analysis (RCA) and executive summary for the July 19, 2024 “Channel File 291” incident, in which a content configuration update delivered via channel files for its Windows sensor triggered a widespread outage. The company says the specific scenario is now incapable of recurring and outlines mitigations and process improvements intended to enhance resilience. CrowdStrike also reported that by July 29, 2024 at 8:00 p.m. EDT, approximately 99% of Windows sensors were back online, which it compares to a typical ~1% week-over-week variance in sensor connections.
Mandiant (Google Cloud) reported a financially motivated cluster, UNC5537, systematically accessing Snowflake customer instances using stolen credentials—then stealing data and pursuing extortion and resale. Mandiant says it found no evidence the activity originated from a breach of Snowflake’s own enterprise environment; incidents it investigated traced back to compromised customer credentials, often sourced from historical infostealer infections dating to 2020. The campaign’s success, per Mandiant, was strongly associated with missing MFA, long-lived unrotated credentials, and lack of network allow lists—shifting the security conversation from “SaaS breach” to “identity hygiene as data-platform blast radius.”
In a Security Blog post, AWS outlines how it approaches “AI sovereignty” as an extension of digital sovereignty, centered on data sovereignty (including residency and operator access restrictions) and operational sovereignty (including resilience and independence). AWS positions its sovereignty offering as “control and choice” across the AI stack—deployment location options (including on-premises and isolated deployments), model/service selection, and governance controls. The post highlights AWS Nitro System isolation properties for EC2 instances (including AI accelerator instances), a commitment that Amazon Bedrock customer inputs/outputs are not used to train Amazon Nova or third-party models, and references third-party validation of Nitro’s design by NCC Group. AWS also notes its ISO/IEC 42001 accredited certification coverage for certain AI services and a 2025 surveillance audit with no findings, framing these as assurance mechanisms for customers with sovereignty and compliance requirements.