Visibility before Velocity
In global finance, speed is everything. Markets shift overnight. Regulations evolve constantly. Customer expectations are unforgiving.
For one premier financial services provider managing 70+ million active accounts across 450,000 merchant locations, the pressure to modernize was intense. Legacy infrastructure had become an invisible anchor, slowing innovation and increasing operational risk. Leadership quickly realized something critical:
The biggest risk wasn’t migrating to the cloud.
The biggest risk was migrating without knowing what data they had.
Decades of legacy growth had created massive data sprawl. Sensitive information (PII, personal data, and embedded application secrets) was scattered across structured databases and unstructured storage. A lift-and-shift approach would only replicate that risk in a more scalable environment
So instead of starting with infrastructure, they started with intelligence.
They implemented BigID as the data discovery and classification layer across the enterprise before shifting workloads into AWS. That decision reframed the entire migration strategy. Rather than inheriting risk, they eliminated it at the source.
Intelligence Driven Migration
BigID provided automated discovery across legacy systems and AWS services, giving the organization a precise map of sensitive data before it was moved. When workloads transitioned into Amazon S3, RDS, Redshift, and DynamoDB, they arrived classified, governed, and controlled.
Cloud became an opportunity to modernize security—not magnify exposure.
By embedding governance into the migration process itself, the organization ensured that only necessary, understood, and properly classified data entered its new AWS architecture. The result was a cloud foundation built on control rather than assumption.
Consolidation That Reduced Risk
Modern financial enterprises often operate with fragmented security stacks that increase both cost and complexity. As part of its transformation, the organization moved away from its legacy security suite implementation, which lacked comprehensive data-centric visibility in cloud-native environments.
By standardizing on BigID as the intelligence layer and leveraging AWS as the scalable execution platform, they reduced operational complexity while strengthening it.
- Fewer tools.
- Fewer blind spots.
- Lower overhead.
- Stronger posture.
This was more than tool consolidation. It was attack surface reduction.
Proactive Protection Across AWS
The impact became even more pronounced in their management of “secrets”. In dynamic cloud environments, risk frequently hides in unexpected places: misconfigured storage, embedded credentials, exposed API keys. Exposed secrets can create an immediate access risk.
With automated classification and labeling in place, sensitive data and secrets are now identified continuously. Remediation workflows trigger quickly, shifting the organization from reactive incident response to proactive risk prevention.
To operationalize this intelligence at scale, BigID’s Unified Security Connector for AWS was used to transfer findings directly into AWS Security Hub, creating a unified security console where data risk signals and cloud posture insights converge. Instead of fragmented alerts across multiple systems, teams now work from a shared source of truth.
Cloud and data security teams prioritize risk based on actual data sensitivity—not just infrastructure misconfiguration—allowing faster and more precise response.
Perhaps most importantly, the organization now maintains a defensible data inventory across its AWS ecosystem. In an industry defined by evolving regulations and scrutiny, automated classification provides evidence-based governance that stands up to audit and regulatory review.
Compliance is no longer a periodic scramble; it is embedded into daily operations.
Control is the New Competitive Advantage
The outcome of this transformation is clear. By pairing BigID’s data intelligence capabilities with AWS’s scalable cloud infrastructure, the organization did more than modernize its environment.
- It reduced risk before migration
- It consolidated tools
- It automated remediation
- It aligned security operations
- It strengthened regulatory resilience.
This is the difference between moving to the cloud and moving with control.
As financial institutions look toward the next phase of digital transformation, the competitive divide will not be defined by who owns the most data.
It will be defined by who understands, governs, and protects it best.
Cloud is infrastructure.
Visibility is advantage.