AI Fraud Emerges as a Growing Threat to Consumer Technology

With the advent of generative AI, a paradigm shift has been ushered in the field of cybersecurity, transforming the tactics, techniques, and procedures that malicious actors have been using for a very long time. As threat actors no longer need to spend large amounts of money and time on extensive resources, they are now utilising generative AI to launch sophisticated attacks at an unprecedented pace and efficiency. 

With these tools, cybercriminals can scale their operations to a large level, while simultaneously lowering the technical and financial barriers of entry as they craft highly convincing phishing emails and automate malware development. The rapid growth of the cyber world is posing a serious challenge to cybersecurity professionals. 

The old defence mechanisms and threat models may no longer be sufficient in an environment where attackers are continuously adapting to their environment with AI-driven precision.
Therefore, security teams need to keep up with current trends in AI-enabled threats as well as understand historical attack patterns and extract actionable insights from them in order to stay ahead of the curve in order to stay competitive.

By learning from previous incidents and anticipating the next use of generative artificial intelligence, organisations can improve their readiness to detect, defend against, and respond to intelligent cyber threats of a new

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