Glossary
Threat Modeling
The structured practice of identifying what can go wrong in a system before it is attacked: enumerating assets, likely adversaries, attack surfaces, and mitigations. Methodologies such as STRIDE give teams a repeatable way to find design-level flaws that code review and scanning cannot see.
Recent coverage mentioning Threat Modeling
AI's Impact on Vulnerability Discovery & Vendor Readiness
AI-driven vulnerability discovery is overwhelming software vendors, exposing secure-by-design failures and challenging traditional disclosure models.
AI Vulnerability Surge: Enterprise Security Strategies
New research suggests the anticipated increase in AI vulnerabilities can be managed by enterprise security teams with effective strategies.
UAT-10147 Leverages Agentic AI for EDR-Evasive Cybercrime
Talos details UAT-10147, an AI-driven cybercrime group orchestrating sophisticated post-compromise operations and evading EDR with custom rootkits.
Agentic Source Code Review: Scaling Vulnerability Discovery with AI
Learn how Google Mandiant uses the Agentic Vulnerability Discovery Harness to accelerate secure code review and find critical flaws at scale.
Cisco Talos: AI, Adaptive Malware, and Threat Intelligence
Cisco Talos Intelligence Integrations help defend against advanced threats like AI-driven attacks and adaptive malware by applying real-time threat intelligence.
ChatGPT Secure Sandbox PoC Enables C2-Style Influence
A researcher demonstrated a proof-of-concept attack chain enabling C2-style influence over ChatGPT's secure sandbox environment.
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