On the Frontlines: Fighting AI-Powered Scams & Fraud

Date of Event: 14 April 2026
Event: GASA Meet-Up

Scammers are rapidly adopting artificial intelligence to scale and refine their operations, making fraud more convincing, targeted, and difficult to detect. While much of the public conversation focuses on deepfakes, the reality is far broader. This GASA meet-up explored how AI is being actively used across the scam ecosystem, and what organisations can do to stay ahead of these evolving threats.

The session brought together experts from leading technology companies and research organisations to share frontline insights. Drawing on real-world intelligence from platforms and investigations, the discussion focused on how fraudsters are operationalising AI today, and how the same technologies can be leveraged to strengthen detection, prevention, and response.

Speakers

• Dora Cheng, Principal Product Manager – Microsoft

• Jack Stubbs, Intelligence & Investigations – OpenAI

• Aparajitha Vadlamannati, Public Policy Manager, Search Quality – Google

• Mollie Zapata, Senior Director of Analysis – C4ADS
•  Jorij Abraham, Managing Director – Global Anti-Scam Alliance (Moderator)

At the same time, the panel underscored that AI is also a critical part of the solution. Advanced detection systems, behavioural analysis, and cross-platform intelligence sharing are already helping organisations disrupt fraud networks more effectively. However, no single organisation can address this challenge alone. Collaboration between technology companies, governments, and industry stakeholders remains essential to counter increasingly sophisticated scam operations.

The session reinforced a central theme: as scammers continue to operate like coordinated global networks, defenders must do the same. By combining intelligence, technology, and shared expertise, organisations can build stronger, more adaptive defences against AI-driven fraud.

Watch the full discussion below to learn how organisations are tackling AI-powered scams on the frontlines.