CREDIT: NETFLIX
GENERATIVE AI
Employee education also remains crucial. Staff training should cover recognition techniques, including awareness of subtle audio quality issues, unusual speech patterns or requests that deviate from normal business procedures.
The key is teaching workers to pause and verify rather than react immediately to urgent requests, even when they appear to come from trusted sources.
Companies are additionally implementing multi-factor authentication as a critical first line of defence, ensuring that access to sensitive systems or data is not granted based solely on potentially compromised credentials or communications.
This approach proved effective when CyberArk, an information security company, began training its executives to identify bot-based scams before they suffered any losses.
How to use AI against itself to beat deepfake scams Just like how humans and AI are most effective when working together, the same approach applies to combating AI scams.
While human verification protocols form the foundation of deepfake defence, companies are also deploying detection technologies.
AI-driven deepfake detection systems can identify visual fraud, text fraud and behavioural anomalies during verification
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