Group-IB unveils Fraud Matrix 2.0 to boost anti-fraud efforts

Group-IB has announced the launch of Fraud Matrix 2.0, an upgraded analytics tool aimed at assisting organisations in detecting, responding to, and preventing fraud more effectively.

Enhanced features

Fraud Matrix 2.0 builds upon the original framework, offering a set of new capabilities designed to improve the speed and depth of fraud detection and response. The tool provides detailed threat actor profiles, insights into software and malware used in fraud campaigns, real-time intelligence on scam campaigns, new mitigation and detection techniques, a self-assessment function for organisations, and a cross-industry taxonomy for fraud classification.

The framework draws inspiration from the MITRE ATT&CK framework but targets fraudulent activities specifically, outlining the actions and behaviours used by fraudsters across different sectors. According to Group-IB, these enhancements aim to give organisations more targeted ways of identifying, understanding, and countering fraud threats.

One of the company's representatives gave further details about the new edition of Fraud Matrix, describing its approach and objectives in relation to evolving fraud tactics.

"Fraud is evolving rapidly, and traditional defences are no longer enough," said Dmitry Pisarev, Product Manager of the Group-IB Fraud Matrix. "With the next generation of the Fraud Matrix Framework, we're giving organizations a smarter, more structured way to understand and counter fraud threats. It empowers fraud teams to act faster, cover more ground, and stay ahead of increasingly complex schemes."

Key updates

The key updates in Fraud Matrix 2.0 include:

• Threat actor profiles offering in-depth insights into the behaviours, motives, and tactics of fraudsters.
• Analyses of fraud tools, including malware leveraged across different industries.
• Real-time intelligence relating to new and evolving fraud campaigns, supporting faster disruption.
• Updated mitigation strategies and detection techniques intended to strengthen organisational defences.
• A self-assessment wizard, enabling organisations to evaluate their fraud control coverage and identify potential capability gaps.
• A standardised taxonomy to classify and communicate various fraud types effectively across sectors.

Measured impact

Since its public introduction in 2024, Fraud Matrix has been adopted by more than 80 organisations across over 30 countries, covering sectors such as banking, telecommunications, retail, and government. Data provided by Group-IB shows that adopters have reported an increase in detection coverage, from 55% to 91%, enabling broader identification and resolution of fraud techniques. In addition, response times to fraud incidents were said to have improved by 85.6%.

The upgraded framework now includes features that allow for industry-specific analysis, helping organisations assess their exposure to threats relevant to their region or sector. Group-IB stated that these enhancements reflect the increasing complexity and regional specificity of modern fraud threats.

Collaboration and future enhancements

Group-IB continues to engage with the broader cybersecurity community, collaborating on shared intelligence and exploring new ways to further improve the matrix based on evolving tactics, techniques and procedures (TTPs), and real-world fraud detection cases.

The company intends to support ongoing enhancement of Fraud Matrix through coordinated intelligence-sharing and contributions from international organisations. Group-IB's strategy also includes integrating feedback from adopters and working with cybersecurity framework communities to keep the tool relevant to changing threats.

Fraud Matrix 2.0 is positioned as a resource for organisations aiming to refine their approach to threat detection through targeted profiles, real-time campaign intelligence, and accessible evaluation tools. According to the company, these features help fraud teams prioritise their defences and address the blind spots in their existing control measures.