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kaandgnshkaandgnsh/Claude-Blue/skills/security-architecture/logging-architecture/SKILL.md

logging-architecture

Skill0 starsChanged 12 days agoMITView on GitHub

Design security logging architecture — what each system must log, collection tiers (agents, syslog, cloud-native exports, APIs), pipeline/routing (Cribl, Vector, Kafka), SIEM vs. data lake storage (OCSF, Security Lake), retention tiers, integrity, access control and cost management. Use when designing or modernizing SIEM/data platforms, setting application logging standards, or estimating log costs.

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SKILL.md

Security Logging Architecture

Layers

  1. Sources: identity (IdP, AD), endpoints (EDR, Sysmon, auditd), network (firewall, proxy, DNS, NDR/Zeek), cloud control/data plane, SaaS, applications, databases.
  2. Collection: agents (Elastic Agent, Splunk UF, Azure Monitor Agent, Fluent Bit), syslog over TLS (RFC 5425), cloud exports (S3/Event Hub/Pub/Sub), API pollers.
  3. Pipeline: parse, normalize (OCSF/ECS/ASIM), enrich (asset, identity, geo), filter/reduce noise, redact (telemetry-minimization), route by value: SIEM hot tier for detections, data lake (S3/ADLS/GCS + Athena/BigQuery, Amazon Security Lake in OCSF) for bulk/long retention.
  4. Storage & analytics: SIEM for real-time detection; lake for hunting/forensics with search-on-demand.
  5. Consumers: SOC, IR, hunting, compliance, ML.

Application logging standard (minimum)

Authentication events (success/failure, MFA), authorization failures, admin actions, data export/bulk access, input validation failures at boundaries, configuration changes, security-relevant errors — with timestamp (UTC, ISO-8601), user/principal ID, tenant, source IP, request ID/trace ID, action, object, outcome. JSON structured; no secrets/PII payloads.

Design checks

  • Buffering/backpressure so outages don't lose logs (persistent queues).
  • Time sync (NTP) everywhere; ingest time vs. event time recorded.
  • Integrity: write-once storage for archives, separate admin domain for log platform.
  • Access: role-based, audit of searches on sensitive indexes.
  • Cost: price per GB per tier; reduce verbose sources (filter debug, sample flow logs for non-critical VPCs) rather than dropping security-critical events.
  • Health monitoring (log-pipeline-health).

Output

Architecture diagram + Source | Events | Collector | Pipeline transforms | Destination tier | Retention | Owner | Cost/GB/day

Related skills

log-source-onboarding, cloud-logging-baseline, field-normalization, telemetry-minimization

References

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