Training the Workforce Against Deepfakes
Deepfakes—synthetically generated videos, audio, and text—are increasingly used in cyberattacks to exploit trust and bypass traditional defenses. As these AI-driven manipulations grow more realistic and accessible, organizations must prioritize human-centric defense strategies. No one is immune to deepfakes and the best defense lies in preparing employees through continuous awareness and hands-on training.
Effective methods include immersive simulations that expose users to deepfake content like voice clones and fake video calls, teaching them to spot red flags such as unusual speech patterns or facial movements. Similarly, social engineering drills incorporating deepfake elements, mandatory verification protocols for sensitive requests, and bias-awareness training help employees resist manipulation. Tools like Google Lens or Intel’s FakeCatcher can assist in identifying synthetic media, but human skepticism remains critical. Also, cross-functional attack simulations and regular feedback loops further strengthen organizational readiness.
However, while AI enables deepfakes, human judgment—rooted in emotional intelligence, context awareness, and intellectual humility—remains a vital defense. Training programs must be iterative and realistic, helping employees build the cognitive resilience necessary to spot and stop sophisticated deception tactics. With proactive culture-building and targeted education, people can become a strong frontline defense against AI-powered threats.
Carpenter, Perry. 2025. “Seven Ways to Train Employees to Detect Deepfakes.” CTO Magazine. June 17.
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