Meta-Certified Security: How Red Threat Cyber Security Automated 7-Day Log Reviews for the LovIsland App

Background

LoveIsland is a rapidly‑growing social platform that consumes Meta Platform APIs. In order to retain API access and earn Meta App Certification, LoveIsland had to demonstrate rigorous log‑review controls that satisfy Platform Term 6.a.i.1. Our mission at Red Threat Cyber Security was two‑fold:

• Build an automated, auditable pipeline that reviews application‑event audit logs every 7 days—or sooner.
• Introduce continuous security monitoring to detect anomalies in real time.

Discovery & Objectives

Our initial GAP analysis uncovered manual log inspection, scattered spreadsheets, and inconsistent retention periods. The project objectives crystallized as:

• Zero‑Touch Evidence: Generate a compliance‑ready PDF report without human intervention.
• Time‑Boxed SLA: Ensure every log set is reviewed within 168 hours.
• Immutable Storage: Encrypt and archive logs for a minimum of 1 year per Meta policy.
• Real‑Time Alerts: Pipe anomalies directly to Slack & SMS for <10 minute triage.

Solution Architecture

We opted for a serverless approach to balance cost and scale. Key components:

• AWS Lambda (Node.js 20): Executes parsing logic and rules engine on a scheduled trigger (Cron @weekly and @daily).
• Amazon S3 + Glacier: Stores raw logs in versioned, immutable buckets with KMS encryption.
• Puppeteer: Renders dynamic HTML evidence into a tamper‑proof PDF.
• Datadog: Streams metrics and dashboards via CloudWatch log subscription filters.
• Slack API: Delivers push notifications & evidence links to #sec‑ops in real time.

Implementation Roadmap

1. Day 1 – 2 : Rapid sprint planning & CI/CD boilerplate (GitHub Actions).
2. Day 3 – 6 : Developed Lambda handlers, unit tests, and log‑parsing regex rules.
3. Day 7 – 10 : Deployed to staging, seeded synthetic log events, and fine‑tuned alert thresholds (σ > 2).
4. Day 11 – 12 : Production rollout, retrofitted Datadog custom metrics, and launched weekly evidence task.
5. Day 13: Submitted first evidence pack to Meta; certification approved same day.

Performance Metrics

Continuous Monitoring

Beyond passing the audit, LoveIsland adopted Security‑as‑Code. Every new microservice now emits JSON audit events through a shared schema, feeding the same parsing engine. Zero‑Config onboarding means security coverage scales with the product roadmap.

Lessons Learned

• API‑driven platforms respond positively to machine‑readable evidence; PDF automation accelerated approval.
• Storing raw & enriched logs side‑by‑side simplifies retroactive forensics.
• Decoupling the rules engine allows new compliance clauses to be added without code releases.

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