How does AI improve detection in cross-platform spyware?

AI can improve the detection of cross-platform spyware that targets multiple operating systems by utilizing machine learning algorithms to analyze patterns and behaviors of such spyware across different platforms. AI systems can be trained on diverse datasets containing examples of cross-platform spyware, enabling them to identify common characteristics and variations that may not be easily detected by traditional signature-based methods. By continuously learning and adapting to new threats, AI-powered detection systems can enhance their efficacy in identifying and mitigating cross-platform spyware more effectively than conventional approaches.