In cybersecurity, generative AI is an effective weapon for both cyber criminals and for businesses and organisations who want to protect their networks and devices.
Cybercriminals generate malware, find coding flaws, and get around user access controls by using AI models like ChatGPT and also using generative AI to create deeperfakes and phishing scams that are more accurate and convincing.
However, AI-powered security plays a particularly important role for companies handling sensitive data.According to experts,large volumes of data about typical and unusual network traffic can be used to train GenAI models.This makes it possible for the model to identify network irregularities, such as suspicious access patterns, that conventional defensive security mechanisms could overlook.
The purpose of a honeypot is to divert cybercriminals from real targets by creating a fake attack target.By simulating real-world systems and user behaviour, generative AI improves their realism. These decoys give teams useful information on the strategies used by attackers, allowing them to successfully bolster their defences.
Generative AI identifies complex scams by examining email content, writing styles, and sender details. By preventing malicious emails from getting to their intended recipients, it lowers the possibility of human error.
However, experts caution an over-reliance on Gen AI could lead to negligence. For total security, artificial intelligence (AI) requires human oversight.
