Navigating Generative AI Cyber Security Threats – CRN

Let s look at five generative AI cybersecurity threats and effective strategies to mitigate them. Data Poisoning and Model Bias Generative AI thrives on data, and that very data can be a doubleedged sword. Data poisoning, or injecting malicious inputs into training data, can corrupt the learning process, leading to biased models. A robust data validation pipeline, combined with meticulous dataset curation, is the best armor against this threat.