Enterprise Security Architecture and Framework Design Questions
Designing comprehensive security architecture and enterprise scale security frameworks for large organizations. Topics include layered security and defense in depth applied at enterprise scale, zero trust and microsegmentation strategies, identity and access management at scale, network segmentation and secure network architecture, encryption strategies for data at rest and in transit, secrets and key management, audit logging and telemetry placement, incident response integration, backup and disaster recovery planning, and platform and infrastructure hardening. Candidates should demonstrate how to align security architecture with business goals, translate an architectural vision into a prioritized roadmap and governance model, reason about scalability and interoperability, justify trade offs between security and developer velocity, and design automation and orchestration to enable secure operations at scale.
HardTechnical
0 practiced
Design a repeatable enterprise-scale threat modeling program for an organization with diverse product lines and 500 engineers. Define templates or assets, training approach, cadence for models, integration points in the SDLC (design review, PR checks), prioritization of models, and metrics to demonstrate program efficacy to leadership.
EasyTechnical
0 practiced
List key platform hardening controls for Linux servers in production (system configuration, network controls, authentication, auditing). Describe how you would implement and enforce these controls at scale using automation (for example: immutable images, configuration management, vulnerability scanning) while accommodating emergency exceptions.
HardTechnical
0 practiced
Design a quarterly compromise simulation program (red-team exercises) for an enterprise SOC. Define scope selection, scenario realism, metrics to measure SOC readiness (time-to-detect, time-to-contain, false-positive rate), post-exercise remediation workflows, and how architectural findings are triaged into long-term improvements.
HardTechnical
0 practiced
Design logging and detection strategies to secure a machine learning pipeline that includes data ingestion, feature store, training cluster, model registry, and model serving endpoints. Identify telemetry points, signals to detect data poisoning and model exfiltration, and automated response actions (for example quarantining datasets, revoking model signing keys).
EasyTechnical
0 practiced
Walk through the STRIDE threat model and apply it to a simple web application that has user authentication, a payment flow, and an admin panel. For each STRIDE category (Spoofing, Tampering, Repudiation, Information disclosure, Denial of service, Elevation of privilege) list one attack example and one mitigating control.
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