tag: Threat-Modeling · 3 items
- Engineer — Learn: A new open-source tool worth evaluating for generating evidence-traced threat models by pointing AI coding agents at a repo; no immediate action required, but useful to pilot on a representative codebase this quarter.
- SOC/IR — Skip
- Leader — Learn: Relevant context for the emerging AI-coding-agent governance gap — this tool illustrates that automated threat modeling for AI agent workflows is maturing, which may inform your policy roadmap for sanctioned AI dev tool use.
- Engineer — Learn: Academic position paper identifying a gap between GenAI-specific privacy threat models and available mitigations — no patch or config change required, but the framework analysis is useful when evaluating privacy controls for systems that incorporate LLMs or other generative components.
- SOC/IR — Skip
- Leader — Learn: Highlights that privacy threat modeling and mitigation selection for GenAI systems are maturing independently, creating coverage gaps — useful framing for AI governance strategy discussions, but no immediate regulatory deadline or vendor exposure to act on.
- Engineer — Learn: A new ATT&CK-aligned taxonomy for cloud web app and serverless threats is worth reviewing to identify gaps in your current threat models and security controls, but requires no immediate system changes.
- SOC/IR — Learn: Review the matrix to identify coverage gaps in existing detections for cloud web app attack techniques, and consider mapping current Sigma/KQL rules to the new framework over time.
- Leader — Skip