UC Research: Generative AI Fights Ransomware Threats

Generative AI may help strengthen ransomware defense, according to a UC researcher. Securities.io reports that ransomware attacks could exceed $265 billion annually by 2031. Nelly Elsayed, an associate professor at the UC School of Information Technology, suggests generative AI can integrate synthetic data generation and behavioral forecasting. This could stress test systems and improve human-AI collaboration in security operations. Elsayed states that cybersecurity analysts can use AI to detect new malicious attacks and classify new attack methods. She adds that simulating with hackers can help create possible attack scenarios, leading to more robust defense tools. For example, AI could screen suspicious emails for red flags like a suspicious logo or misspellings. Here's the thing: Elsayed says AI can become an early warning or screening tool. What's interesting is that explainability in AI is crucial for building user trust. She emphasizes the necessity of governance and responsible AI use, calling it a "double-edged sword." Defining best practices is vital. The bottom line: AI can build long-term cybersecurity resilience and change work patterns, but it won't replace humans.