#Threat Modeling

Articles about Threat Modeling — exploring patterns, best practices, and real-world implementations in production systems.

2 posts tagged with threat modeling. ← All posts

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Pratik Dhanave · ·11 min read

Threat Modeling and the AI Attack Taxonomy

Before you attack an AI system you need a map of it: the components an adversary can influence, the trust boundaries between them, and a taxonomy that sorts attacks by goal and stage so your red-teaming is systematic instead of a grab-bag of the attacks that happen to trend that week.

Mapping the AI attack surface so red-teaming is systematic: threat-modeling the components (model, prompts, training/RAG data, tools, guardrails) and an attack taxonomy by goal (integrity/availability/privacy/abuse) and stage (training vs inference), aligned to NIST AI 100-2 and ATLAS.

#AI Red Teaming#Threat Modeling#AI Security#MITRE ATLAS#Security#RAG#Prompt Engineering#Guardrails
Pratik Dhanave · ·14 min read

Secure SDLC and Threat Modeling

How to design security in from the first sketch instead of bolting it on before launch — mapping security work to every phase of the software lifecycle, grounded in the NIST Secure Software Development Framework, and using STRIDE-based threat modeling as the core design activity.

Designing security in from the start: the secure SDLC mapped to NIST SSDF, security requirements and abuse cases, and threat modeling with the four questions and STRIDE — data-flow diagrams, trust boundaries, and continuous (not one-time) modeling.

#DevSecOps#Threat Modeling#Secure SDLC#NIST#Security

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.