AI in Cyber Defence: Modern Threat Detection and Security Strategies

As cyber threats grow increasingly sophisticated, traditional security measures are no longer enough to protect modern digital infrastructure. Artificial intelligence has emerged as a critical tool in defending networks, identifying vulnerabilities, and responding to incidents in real time. This text-based course guides you through the intersection of AI and cybersecurity, showing you how machine learning models detect malicious content and automate defensive strategies. You will understand how security operations centers use intelligent agents to neutralize threats before they cause damage. What you'll learn: - Understand the fundamentals of AI-driven cybersecurity and the modern threat landscape - Analyze how machine learning models detect malware, phishing attempts, and malicious network traffic - Explore agentic AI workflows and automated incident response strategies - Learn the principles of securing AI systems themselves against prompt injection and data poisoning - Evaluate the balance between automated defense mechanisms and human-in-the-loop oversight Starting with core definitions and security concepts, the course progresses through practical scenarios of pattern recognition, threat intelligence, and the deployment of intelligent defensive agents. This course is designed for beginners, IT professionals, and security enthusiasts who want to understand the role of AI in defense, with no prior programming or cybersecurity experience required. Start reading to master the future of digital defense and build a solid foundation in AI-powered security.