Price: $135.00
(as of Dec 24,2024 19:18:41 UTC – Details)

Publisher ‏ : ‎ Wiley-IEEE Press; 1st edition (January 15, 2025)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 288 pages
ISBN-10 ‏ : ‎ 1394206453
ISBN-13 ‏ : ‎ 978-1394206452
Item Weight ‏ : ‎ 1.23 pounds
Dimensions ‏ : ‎ 6 x 0.69 x 9 inches

Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing

In today’s rapidly evolving cyber landscape, the need for effective and efficient cybersecurity measures is more critical than ever. Penetration testing, or ethical hacking, is one of the key strategies used by cybersecurity professionals to identify and address vulnerabilities in a system before malicious hackers can exploit them.

Artificial intelligence (AI) and machine learning have emerged as powerful tools in the fight against cyber threats, with reinforcement learning being a particularly promising approach for enhancing penetration testing capabilities. Reinforcement learning is a type of machine learning that enables an AI system to learn from its own actions and interactions with its environment, improving its performance over time.

By leveraging reinforcement learning algorithms, cybersecurity professionals can train AI systems to autonomously conduct penetration tests on various systems and networks, identifying weaknesses and vulnerabilities that may be overlooked by human testers. This not only speeds up the testing process but also allows for more comprehensive and accurate assessments of security risks.

Furthermore, reinforcement learning can enable AI systems to adapt and evolve in response to new threats and attack techniques, making them more resilient and effective in defending against cyberattacks. This adaptive capability is crucial in today’s dynamic threat landscape, where cyber threats are constantly evolving and becoming increasingly sophisticated.

Overall, the application of reinforcement learning in penetration testing holds great promise for improving the effectiveness and efficiency of cybersecurity operations. By harnessing the power of AI and machine learning, cybersecurity professionals can stay one step ahead of cyber threats and better protect their systems and networks from malicious actors.
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