AI-Generated Deepfakes: Best Practices for Detection and Protection
Deepfakes are the fastest growing cybersecurity and business threat. According to Gartner, about two thirds of organizations experienced a deepfake fraud attempt in the past 12 months. Fraudsters are using AI-generated voice, video, and identity manipulation to bypass trust, deceive employees, and exploit organizations at scale. From multimillion-dollar wire fraud to reputational damage and regulatory risk, enterprises across industries are now facing challenges for which traditional security tools are not prepared.
This webinar will unpack the most recent data and latest trends in deepfake attacks and the business risks they create, then outline practical steps security leaders can take to stay ahead. Attendees will gain insight into:
The evolving deepfake threat landscape across voice, video, and digital identity.
Why metadata-driven detection, federated validators, and multi-model inference are emerging as critical defense mechanisms.
Key criteria for evaluating deepfake protection platforms.
How to integrate detection into existing workflows—email, collaboration tools, video conferencing, and customer-facing channels—without disrupting business.
Best practices for detecting and protecting against deepfakes in social engineering
By the end of this session, participants will understand not just why deepfakes matter, but how to implement a practical, layered defense strategy to protect their people, their brand, and their bottom line.
