use cases

Risk Mitigation

Reduce risk by controlling the data regulators care about most

Risk mitigation comes from clean data, clear lineage, and controlled access - iDENTIFY centralizes and governs risk-critical data in Snowflake.

Regulatory-Report

Trusted by banks managing risk with clarity and confidence

Regent Bank

Is your data infrastructure compliant today?

Risk is not introduced by a single event.
It accumulates through technical and operational gaps.

Fragmented data creates reporting risk

When core, processor, and partner data live in separate systems, reports conflict and reconciliation becomes manual.

Third-party reporting creates oversight risk

Relying on vendors for reporting limits independent validation and weakens audit defensibility.

Batch pipelines create timing risk

Delayed or overnight data reduces visibility and slows issue detection.

Poor governance creates access and audit risk

Unclear ownership, over-permissioned users, and weak lineage increase operational exposure.

Consent Orders from the FDIC should be manageable.

iDENTIFY has helped numerous banks that have received consent orders or are trying to stay up-to-date with compliance regarding their data management and end-user activity. With iDENTIFY as your partner, we build out your environment, which is inherently designed for risk mitigation with Snowflake, contrary to traditional batch systems.

Risk mitigation built for real regulatory pressure

If something goes wrong, regulators don’t call your fintechs. They call you. Risk mitigation ensures your institution can explain:

Where the data came from
Who accessed it
How it was transformed
Why reports match across systems
What controls exist if something fails

How iDENTIFY + Snowflake reduces risk

Centralized data removes risk blind spots

We consolidate core, processor, fintech, AML, and operational data into a single governed environment.

This reduces risk caused by:

Conflicting reports
Manual reconciliations
Missing or late data
Vendor-controlled reporting

Reduced third-party and vendor dependency

Many banks rely on fintechs or aggregators for risk-critical reporting. We help you bring that data into your control so oversight does not depend on external systems.

This lowers exposure to:

Vendor outages
Incomplete reporting
Regulatory findings tied to third-party gaps

Faster, defensible risk & compliance reporting

Risk teams need answers quickly, without chasing spreadsheets.

We enable near real-time reporting for:

FDIC / NCUA exams
Internal audits
Board and risk committees
Ongoing monitoring

Reports are consistent, traceable, and defensible.

Built-in security, access control, and governance

We consolidate core, processor, fintech, AML, and operational data into a single governed environment.

This reduces risk caused by:

Conflicting reports
Manual reconciliations
Missing or late data
Vendor-controlled reporting

Scalable risk foundations that grow with you

Risk does not stay static, neither should your architecture.

Our approach supports:

New fintech programs
Increased transaction volumes
New regulatory requirements
Advanced analytics and AI

Without re-platforming or rebuilding later.

Why Snowflake for Risk Mitigation?

Snowflake provides the performance, security, and governance modern risk programs require, without adding operational burden.

Combined with iDENTIFY’s banking and regulatory experience, Snowflake becomes the foundation for long-term risk reduction, not just analytics.

risk mitigation

Risk mitigation for banks vs. credit unions

Community Banks

Stronger regulatory confidence

Clear, consistent risk reporting

Reduced dependency on vendors

Lower operational risk without core replacement

Credit Unions

Simplified NCUA exams

Better visibility with smaller teams

Less manual oversight

Controlled growth without added risk

Risk Mitigation Checklist

Use this checklist to assess your current state:

Can you trace every report field back to its source?

Do different teams see the same numbers for the same metrics?

Can you validate vendor-provided data independently?

Are permissions and ownership clearly defined?

Can you explain your data flow during an exam?

If not, risk is likely accumulating quietly.

Learn more about risk, governance, and data control

Catch Me If You Can: Transaction Monitoring and the Modern Fraud Dilemma

Risk Management for Fintech

Fintech Checklists | Risk Series

Customer Experience Data | Risk Series

Operations | Risk Series

External Oversight | Risk Series

Internal Oversight | Risk Series

Risk Overview | Risk Series

Talk through your risk posture

Centralized, governed data strengthens risk mitigation. Let’s review your current-state architecture and iDENTIFY where risk is entering your system.