Red Team Activities Turns More Sophisticated With The Progress of Artificial Intelligence

Researchers (Mays Al-Azzawi, Dung Doan, Tuomo Sipola, Jari Hautamaki, Tero Kokkonen) noted that 56% of AI-driven cyberattacks now target the access and penetration phase of security systems, with CNN emerging as the most frequently utilized AI technique for this purpose. Classification techniques such as convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory (LSTM) networks enable attackers to analyze patterns in data streams and distinguish between benign and malicious activities. The evolution of machine learning, deep learning, and large language models has opened new avenues for enhancing red teaming exercises, allowing security professionals to better test organizational defenses against ever-evolving threats. This evolution in red team tactics emphasizes the critical need for organizations to enhance their defensive posture, employing equally sophisticated AI-driven defensive methods to detect and counter these emerging threats. Cyber Security News is a Dedicated News Platform For Cyber News, Cyber Attack News, Hacking News & Vulnerability Analysis. With years of experience under his belt in Cyber Security, he is covering Cyber Security News, technology and other news. Artificial intelligence has dramatically transformed the cybersecurity landscape, with red team activities increasingly leveraging sophisticated AI-driven techniques to simulate advanced persistent threats. Meanwhile, generative adversarial networks (GANs) have become particularly effective in creating realistic but fake data used in sophisticated phishing campaigns. The remaining attack focus is distributed across exploitation, command and control, reconnaissance, and delivery phases, demonstrating the versatility of AI applications in offensive security testing. As AI capabilities continue to advance, the future of red teaming will likely require continuous adaptation and innovation in both offensive and defensive security strategies. Tools like PassGAN utilize generative adversarial networks to create numerous effective password guesses without relying on traditional rule-based approaches. Tushar is a Cyber security content editor with a passion for creating captivating and informative content.

This Cyber News was published on cybersecuritynews.com. Publication date: Sat, 29 Mar 2025 06:40:06 +0000


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