<ul><li>AI hallucinations are inaccurate answers provided by large language models and pose a risk to cybersecurity due to compromised decision-making and brand reputation.</li><li>The biggest reason for hallucination is incorrect data the model uses for training AI, and input bias is also a significant cause.</li><li>Organizations increasingly use generative AI for cybersecurity, such as training on real-time data and responding to a specific threat with the best action.</li><li>AI hallucinations in cybersecurity may cause an organization to overlook potential threats and create false alarms, prolonging the recovery process and increasing the risk of attack.</li><li>Reducing the impact of AI hallucinations can be accomplished by training employees on prompt engineering, focusing on data cleanliness, and incorporating fact-checking into the process.</li><li>Using generative AI tools to fight cyber crime can make organizations more resilient by leveling the playing field.</li></ul>

AI hallucinations can pose a risk to your cybersecurity

Discover more