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Security Automation with Python
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The application of AI in cybersecurity is revolutionizing the way organizations protect their systems, data, and users. AI, particularly when combined with Python, offers powerful tools for detecting, analyzing, and responding to cyber threats in real time. Python’s vast ecosystem of libraries and its simplicity make it an ideal choice for building AI-driven security solutions. In this section, we will explore how to implement AI-based security systems using Python, from threat detection to automating IR.
AI in cybersecurity refers to the use of intelligent systems that can autonomously learn from data, detect patterns, and make decisions to enhance the security posture of an organization. AI-driven security systems leverage ML, DL, and NLP to automate and optimize threat detection, vulnerability analysis, and response strategies.
Python plays a central role in AI and ML development due...