Detection and Prevention of Cyber, Fraud, and Financial Crimes

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Stop crime at the door

The threat landscape evolves quickly and financial institutions need to be proactive to stay one step ahead. Models that quickly adapt to changing schemes are a key component. That's why the world’s largest financial services institutions are focusing on creating high-performing models at scale for all their fraud detection and prevention activities.

They look to Domino's Enterprise MLOps to give them the capability to create, deploy, monitor, and refresh models at scale for:

  • Identity and payments fraud
  • Anti-money laundering
  • Cyber security detection and prevention
  • Enhanced due diligence
  • Trader surveillance
Read the Whitepaper

Why Domino for cyber, fraud, and financial crimes

Proactively respond to threats

Increase model velocity and productivity to stay one step ahead of schemes and improve collections

Domino lets you proactively detect and respond to cyber, fraud, and money laundering schemes by accelerating the end-to-end data science lifecycle and increasing the productivity of data scientists and analysts.


  • Quickly access, consolidate and use data from structured and unstructured data sources.
  • Rapidly build, deploy, and retrain models to keep pace with emerging threats.
  • Automated alerting of degraded model performance.
  • Easily embed models into business systems and processes.
  • One-click access to powerful machines with the most popular distributed frameworks, including Spark, Ray, and Dask, and GPUs, accelerates training workloads.

Streamlined access to data

Easy access to data, without compromising security and governance

With Domino, you and your team can easily work with and share data while complying with IT protocols, data security, and governance policies.


  • Centrally establish connections to data wherever it lives.
  • Share data across teams without making copies.
  • Provide data context and metadata in a unified manner within and across departments or LOBs.
  • Maintain strict governance and control over sensitive data
  • Effectively manage data with integrated version control
  • Integrate with established company SSO and LDAP solutions

Reproducible analysis and models

Easily reproduce and validate work, improving productivity

Domino lets data scientists and model validators instantly recreate the environment used to build a model or analysis.


  • Easily validate model results prior to deployment.
  • Reproduce any model with just a few clicks, regardless of the language used to create it.
  • Improve data scientist and analyst productivity by automating the capture of all model assets.

Increased throughput

Seamlessly collaborate and build upon past work

With Domino, data scientists and analysts can easily collaborate and build upon past work to test new ideas and quickly deploy the successful ones into production. Model velocity and throughput are increased as consistent patterns and practices are codified across teams.


  • Collaborate and iterate on results seamlessly with analysts, data scientists, IT, product management, risk, and executives.
  • Retain institutional knowledge when key people leave.
  • Search prior work on a topic to avoid reinventing the wheel and rapidly compound knowledge.
  • Accelerate onboarding of new team members.
  • Integrated workflows foster best practices.

Case Study

Driving Customer Value and Efficiency by Transforming Model Development and Deployment

Learn how a 6X reduction in the time to move models into production enables Moody’s to get information into the hands of clients faster.

Recommended resources

Analyst Report

542% ROI with Domino

Without Domino, getting a model into production was quite an involved process; let’s say that took us maybe four weeks after talking to everyone. Now it’s down to maybe a one-week process.

Principal Consultant, Large Financial Service Organization

Read the Forrester TEI Report

Case Study

Delivering New Fraud Detection Capabilities in Weeks, Not Months

Read how a Fortune 500 Insurance leader delivered more sophisticated fraud models that tap into a wider array of data in a fraction of the time it took before using Domino.

Read the case study


How MLOps Helps Financial Services Reinvent in the Digital Age

Learn how MLOps platforms like Domino can help banks to reinvent how they engage with their customers, create an AI-based decision-making culture, modernize their application infrastructure and establish a more agile operating model.

Watch the webinar

See why leading ratings agencies and banks run on Domino