Rachid OUBOUHOU
SQLI Morocco
Full stack developer at Sqli Morocco, and Phd student in the data science and cyber security
From Data to Defense: How Machine Learning and Deep Learning are Revolutionizing Cyber Security
Quickie (INTERMEDIATE level)
In today's interconnected world, the escalating threat landscape necessitates innovative approaches to safeguarding our digital infrastructure. Machine learning and deep learning have emerged as game-changing technologies in the field of cybersecurity, enabling us to harness the power of data to enhance defense strategies. This proposal seeks to explore the transformative impact of machine learning and deep learning in revolutionizing the way we defend against cyber threats. By analyzing patterns, detecting anomalies, and uncovering hidden vulnerabilities, these advanced techniques offer unprecedented accuracy and efficiency in threat detection and response. This speech will also examine the challenges and limitations associated with implementing machine learning and deep learning in cybersecurity.
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