Security teams in financial institutions are often drowning in data from a dozen different tools yet somehow still flying blind. For one ACME customer in the financial sector, fragmented SaaS tools, rate-limited APIs, and a restricted on-premises environment had made near-real-time security oversight virtually impossible.
The Challenge
Industry: Financial Services. The customer operated multiple SaaS security tools, each exposing data in a different format and at different rates. APIs were rate-limited. Reporting was manual, slow, and inconsistent. On-premises systems had restricted outbound internet access, making direct integration difficult. Executive and technical teams were working from stale metrics and decisions that needed to be made in minutes were waiting days.
The Solution
ACME designed and implemented a serverless, cloud-native security data platform on AWS:
- AWS Lambda to securely ingest and normalise data from all SaaS APIs with built-in retry logic and pagination to handle rate limits gracefully
- Secure VPC with controlled outbound access to bridge the on-premises environment to AWS without opening unnecessary egress
- Amazon RDS to centralise and store historical security data for trend analysis and audit
- Amazon QuickSight (QuickSuite) to expose role-based dashboards giving executives a strategic view and technical teams a granular operational view all from a single, unified interface
The Outcome
Reporting time dropped from days to minutes. Security data from all SaaS platforms is now normalised, consistent, and available in near real time. Role-based dashboards give each team exactly the visibility they need no more, no less. Executives can now make security investment decisions based on current data, not last week’s export.
Why Serverless Is the Right Architecture for Security Data
The serverless approach Lambda, event-driven pipelines, managed RDS means the platform scales automatically with data volume, costs nothing when idle, and requires no infrastructure management. For a security data platform, that’s exactly the right model: high reliability, low operational overhead, and the elasticity to handle burst ingestion from multiple API sources without pre-provisioning capacity.
