Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Next-Gen Cyber Security

Next-Gen Cyber Security

Zekavat, Nooshin
Shoara, Ahmad

Paperback

Programming

ISBN10: 1947464507
ISBN13: 9781947464506
Publisher: American Academic Research, USA
Published: Jan 7 2026
Pages: 152
Weight: 0.47
Height: 0.33 Width: 6.00 Depth: 9.00
Language: English
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.

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