The decision to stop enforcing the Corporate Transparency Act, which requires the disclosure of the beneficial ownership of ...

Sunil Madhu, founder and CEO of Instnt, fraud loss insurance AI, is an identity and security architect and serial entrepreneur. In 2023, traditional identity fraud cost banks, credit unions and ...

“If companies do this at all, it’s often carried out by somebody working in isolation, rather than involving the whole organisation” Fraud-risk assessments can be outsourced, which helps to ...

Fraud has a significant impact on both the insurance and banking industries, costing these sectors billions of dollars annually, while also damaging consumer trust, increasing operational costs, and ...

The assessment results will help drive efforts to strengthen internal controls and reduce fraud risk across the Department. The working group is also coordinating with DACID and USAAA to identify ...

Warrington Borough Council had ‘effective measures’ in place during 2024-25 to enable the prevention and detection of ...

"We think HUD can really drive this nationwide for other housing authorities by assessing the fraud risks at the large housing authorities," said Stephen Begg.

Fraud.net is excited to announce the launch of Entity Screening, designed to streamline compliance and enhance risk management for businesses worldwide. By centralizing and automating the screening, ...

Working with the portfolio of expert tutors and Risk.net’s editorial team, we can develop and deliver a customised learning to make the most impact for your team, from initial assessment to final ...

fraud risk assessment, fraud control activities, fraud investigation and corrective action, and fraud risk management monitoring activities. Chris highlighted the need for identifying and ...

fraud mitigation demands innovative approaches to identifying risk as the insurance industry navigates increasing complexity. By bringing new and unique data to the claims process, Clearspeed is ...

A proactive, AI-driven approach—powered by predictive analytics and machine learning—is essential to detecting and preventing ...