Attackers are using deepfake technology to create convincing phishing scams by impersonating trusted individuals, such as CEOs, colleagues, and celebrities. With AI-powered lip-syncing, face-swapping, and voice cloning, they trick victims into clicking malicious links or revealing sensitive information. These scams are harder to detect because they use realistic video and audio, not just fake emails or static images. Traditional phishing detection methods don’t analyze multimedia content, making it easier for attackers to deceive people.
In a blog posted by our research team, attackers used deepfake technology to impersonate a company's CFO during a video call, resulting in a $25 million loss.
Our solution delivers a multi-layered detection system that extends beyond traditional text-based phishing defenses by incorporating advanced video and audio analysis. By extracting and analyzing video metadata, voice patterns, audio transcripts, and contextual content, our AI model accurately detects AI-generated scams, such as a deepfake video impersonating a CEO.
The deepfake detection capabilities have been in production since November 2024 and are now available.
Organizations should follow the best practices outlined in this live community post to benefit from the enhanced detection capabilities. Additionally, decryption must be enabled so the firewall can inspect the content.
For more information on Deepfake, please refer to our research team's blog and review the provided documentation for a comprehensive overview of URL Filtering Category Best Practices.
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