Security Policy and Incident Remediation Questions
Covers how security incidents and postmortem findings drive actionable policy, configuration, and process changes to prevent recurrence. Topics include translating incident root cause analysis into policy updates, recommending hardening measures and configuration changes, balancing security improvements with business constraints, defining metrics and tracking for remediation items, ensuring closure of postmortem actions, and building organizational processes to turn lesson learned into persistent controls.
MediumTechnical
0 practiced
Write an Open Policy Agent (OPA) Rego policy snippet that denies creation of Kubernetes Pods that mount hostPath volumes in the "production" namespace. Explain how to enforce this with an admission controller and how you'd test the policy in CI.
MediumTechnical
0 practiced
Design the metrics and dashboards needed to track remediation backlog health across services. Include at minimum: % overdue, mean time to remediate (MTTR) per severity, verification pass rate, recurrence rate. Describe the data model, collection sources (ticketing, CI, incidents), and aggregation frequency.
MediumTechnical
0 practiced
Design an "error budget for security": define how security incidents consume the budget, how teams are notified when thresholds are approached, and what operational actions (e.g., freeze features, mandatory remediation) are triggered at specific thresholds. Provide example threshold values and governance policy.
MediumTechnical
0 practiced
Explain how feature flags and deployment guardrails can be used to limit blast radius while remediation efforts are ongoing. Provide examples of guardrail policies (rate limits, feature gating, circuit breakers) and describe automated triggers tied to security metrics.
HardTechnical
0 practiced
Technical design/coding: Outline a scalable service (pseudocode acceptable; choose a language) that consumes postmortem action items from a message queue, assigns owners using an ownership graph, enforces SLAs, emits reminders, and stores immutable evidence. Describe the data model, concurrency strategy, idempotency guarantees, and common failure modes with mitigations.
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