• Start with the basics: Frequent fraud risk assessments and AI-aware anti-fraud policies that guide how to handle deepfake scenarios – from internal protocols to customer touchpoints.
  • People are your first line of defense: Ongoing employee training, customer education, and simulation-based learning, like mock deepfake attacks, can help build instincts without creating fear. Even HR practices like live interviews and deeper background checks can help detect potential insider threats.
  • Use AI to fight AI: Use deepfake detection tools in critical processes like KYC (Know Your Customer) and biometric verification. Leverage generative AI to safely create synthetic training data that helps your defenses get smarter over time.
  • Stay informed of the latest techniques and scams being used: Understanding how bad actors adapt to new methods to deceive will ensure your business remains prepared.
  • Importance of businesses and consumers to report instances of deepfake fraud, whether trivial or serious: Governments assign law enforcement and legislation resources based on the prevalence of threat and reporting instances provides the data to make such decisions.