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Deep learning is transforming the cybersecurity landscape by learning from new data in real-time and adapting its algorithms to detect unseen attacks, helping security professionals stay ahead of cybercriminals. This blog post explores the basics of neural networks and deep learning’s impact on cybersecurity.

The article explains how AI/ML has the potential to revolutionize digital forensics by automating tedious and time-consuming tasks and providing advanced analysis of large volumes of data, images, and video. However, challenges such as transparency, explainability, and skilled personnel must be addressed to maximize their benefits.

R&D within a cybersecurity unit helps organizations stay ahead of evolving cyber threats, develop new tools and technologies, conduct vulnerability assessments, ensure compliance with regulations, and foster a culture of innovation.