Understand what fraud analytics entail and how they leverage AI, machine learning, business intelligence and data science to improve fraud detection

FICO® Focused Language Model and FICO® Focused Sequence Model set global standards for Responsible AI, delivering measurable enterprise value

A unified decisioning platform enforces development standards to ensure AI systems are built responsibly from the ground up

Enterprise fraud management can break down fraud prevention operational silos so that fraud and abuse can be tackled at the customer level, rather than just the account level

Which works better for building credit risk models: using AI and machine learning or using traditional scorecards?

Here's how to get the full power of machine learning without losing the transparency that’s important from credit risk scorecards

GenAI hallucinations are primarily caused by the ways that large language models (LLMs) are built

We have built a data science organization that prizes creativity and operationalizes innovation for demonstrable business benefit and positive customer impact

Understand the impact of PSD3 and the key changes it creates for fraud prevention specialists

Ethical AI means digging into what machine learning models are learning – which is a complex task

As companies drive breakthrough results with AI in 2025, operationalization and trust are attainable imperatives

FICO’s use of blockchain to develop artificial intelligence is recognized in awards from Global Finance and the Banking Tech Awards

Fraudsters adapt rapidly, always on the lookout for new ways to exploit weaknesses in fraud defences and find new routes to their victims. How can fraud teams respond?

Responsible AI includes four principles for ensuring that AI is safe, trustworthy and unbiased - it should be robust, explainable, ethical and auditable

As real-time payments continue to grow globally, authorized push payment fraud scams follow. making intervention imperative