Threat Modeling and Attack Surface Analysis Questions

Systematically identifying how a system can be attacked and where its exposure lies. Covers structured methodologies (STRIDE, PASTA, DREAD, OCTAVE, attack trees), enumerating and reducing attack surface, mapping trust boundaries and data flows via DFDs, profiling likely threat actors, and prioritizing identified threats by likelihood and impact during design. Includes applying this methodology to specific architectural substrates (cloud-native and serverless, microservices, ML/AI systems, IoT, CI/CD pipelines, cryptographic subsystems) and operationalizing it as a recurring program (SDLC integration, governance, tooling, KPIs). The proactive 'think like an attacker before you build' discipline: distinct from live penetration testing (the adversarial validation of a built system), from runtime detection/monitoring (recognizing an attack already in progress), and from implementing the resulting security controls (a separate design-and-build discipline).