Webinar Description
Key Takeaways
- Examines findings from BioCatch’s 2026 Global Scams report, covering data from over 370 financial institutions and 760 million users across 21 countries.
- Explores how behavioral and device intelligence can detect and slow the growth of social engineering scams.
- Addresses why attempted scams increased 35% in 2026, a notable slowdown from the 65% growth reported in 2025.
- Designed for professionals in banking, cybersecurity and financial services.
About the Webinar
This webinar presents findings from BioCatch’s 2026 Global Scams report, which draws on data from more than 370 financial institutions serving over 760 million users in 21 countries. The session will be led by Tom Peacock, BioCatch’s Global Director of Fraud Intelligence.
Social Engineering Scam Trends
The report documents a 35% increase in attempted scams among BioCatch’s customer base in 2026. While this represents significant growth, it marks a substantial deceleration from the 65% increase recorded in the previous year’s report. According to BioCatch, this slowdown suggests that financial institutions using behavioral intelligence to detect fraud are having a measurable impact on scam growth rates.
Behavioral and Device Intelligence in Fraud Detection
The session will cover how behavioral and device intelligence technologies are being applied to identify social engineering scams. Peacock will discuss current methods for detecting scams, the evolving threat landscape and the factors driving variation in growth rates across different scam types.
Who Should Attend
This webinar is intended for professionals working in banking, cybersecurity and financial services who are responsible for fraud prevention, risk management or security operations. The content focuses on understanding current social engineering threats and the intelligence approaches being used to counter them.