Next-Gen Cyber Security

By Ahmad Shoara and Nooshin Zekavat

Artificial intelligence (AI) is reshaping the technological landscape across virtually every sector, from healthcare and finance to manufacturing and critical infrastructure. In parallel, AI is profoundly transforming the field of cybersecurity. On one hand, AI provides organizations with unprecedented capabilities to detect, analyze, and respond to threats. Machine learning algorithms can identify anomalies in network traffic, user behavior, and system processes far more quickly and accurately than traditional rule-based systems. Automated response systems are now a key part of modern cybersecurity. They have grown from simple rule-based systems to smart, flexible systems that can analyze, respond to, and even predict cyber threats in real time. As cyberattacks become more common, complicated, and widespread, businesses are under a lot of pressure to find and fix risks faster than before. Being able to respond in seconds or even milliseconds has gone from being a competitive edge to a basic need for keeping digital trust, keeping operations running, and following the rules. Automated response systems meet this growing requirement by providing fast, reliable, and scalable protection mechanisms that are much better than manual response procedures.

• Format: Paperback
• Language: English
• ISBN: 1947464507
• ISBN13: 9781947464506
• Release Date: January 2026
• Publisher: American Academic Research, USA
• Length: 152 Pages
• Weight: 0.47 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"