Detecting and defending against AI-generated phishing content and deepfakes used in social engineering attacks.
AI-Enhanced Attacks
AI tools enable creation of highly convincing phishing emails and deepfake videos. Detection requires sender authentication, content analysis, and user training. Organizations must balance security with avoiding false positives against legitimate AI-generated content.
AI-Generated Phishing
Large language models can write convincing phishing emails customized to targets. These emails are grammatically correct, contextually relevant, and more convincing than traditional phishing.
Deepfake Videos and Audio
AI can generate video and audio convincingly depicting people saying things they never said. These deepfakes can be used in CEO fraud and social engineering attacks.
Detection Challenges
Detecting AI-generated content is difficult. Tools that detect synthetic content work today but may be defeated by advancing AI. Detection is an arms race.
Technical Controls
Organizations should implement email authentication (SPF, DKIM, DMARC) to prevent spoofing. These don't prevent AI-generated content but do prevent spoofed authentication.
User Training
The most effective defense remains user training and skepticism. Users should verify unusual requests through secondary channels. Organizations should conduct phishing simulations including AI-generated content.