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Open the risk workbench
Search records, inspect source links, compare priority, export capped samples, and check source freshness before deciding what deserves deeper review.
Build a vendor exposure map from East Asia CERT feeds
This guide provides a step-by-step workflow for security teams to build and maintain a vendor exposure map using Nogosee’s East Asia Cyber & AI Risk Tracker as a monitoring layer. It covers essential fields to track, duplicate handling, escalation triggers, and monitoring practices without implying numeric thresholds or rigid rules. Designed for repeatable use by security, cloud, and supplier-risk teams.
What to capture from a ransomware leak post before sharing internally
This checklist guides security teams on how to responsibly capture and verify key details from ransomware leak posts before internal sharing, including timestamps, claimed victims, proof files, and validation steps, while avoiding amplification of unverified claims. It supports East Asia cyber risk monitoring by promoting disciplined handling of dark-web intelligence.
Map AI misuse and model abuse signals to MITRE ATLAS without hype
This tutorial guides East Asia-facing security teams on how to map observed AI misuse and model abuse signals to MITRE ATLAS techniques using a structured, uncertainty-aware approach. It emphasizes separating public facts from speculation, assigning clear ownership, and establishing flexible review workflows without relying on numeric thresholds or rigid escalation rules.
SLSA questions to ask when a supplier claims ‘secure build pipeline’
Use the SLSA framework to evaluate supplier build integrity through neutral questions on provenance, signing, reproducibility, dependency pinning, and evidence artifacts—without accepting marketing claims as proof. This checklist supports East Asia-facing security, cloud, and supply-chain teams in verifying supplier assertions.
OWASP LLM Top 10 controls to verify before deploying an internal chatbot
A practical deployment checklist for internal chatbots and AI copilots based on the OWASP Top 10 for LLM Applications, covering data exposure controls, prompt injection mitigations, logging, red-team testing, and weak-signal monitoring for security teams in East Asia.
Singapore incident-readiness signals hidden inside CSA advisories
A practical checklist for security teams to derive actionable incident-readiness steps from Singapore CSA advisories, covering logging, system hardening, vendor follow-up, and evidence-based monitoring decisions without overreach.
Use NIST AI RMF to structure an AI security watchlist
Use the NIST AI Risk Management Framework to build an AI security watchlist tailored to East Asia cyber and AI risk monitoring. Map signals to governance owners, define evidence thresholds, and separate research digests from operational signals using flexible, source-grounded steps.
Building an Internal Patch-SLA Queue from Korea KISA/KrCERT Vulnerability Notices: A Practical Workflow Guide
Organizations can transform Korea KISA/KrCERT vulnerability notices into an auditable internal patch-SLA workflow by establishing clear triage steps, ownership rules, severity interpretation, exception tracking, and integration with existing vulnerability management systems—without imposing rigid thresholds or inventing unsupported procedures.
Map an East Asia incident write-up to MITRE ATT&CK without overclaiming
This tutorial guides security teams in East Asia and globally on how to map public incident reports to MITRE ATT&CK techniques while preserving uncertainty, avoiding unwarranted attribution, and maintaining evidence traceability. It provides step-by-step workflow guidance for analysts, threat intel teams, and incident responders to use ATT&CK as a neutral taxonomy for structuring findings without inflaming confidence beyond what the source supports.
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.