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Enterprise Security: Using AI for Intrusion Detection & Prevention

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Skill Level

Intermediate

Time to complete

Approx. 2 hours

Projects

Yes

Explore AI’s role in cybersecurity with IDS: IDS types and methods, benefits and challenges, and how to prevent security breaches. Discover AI’s prediction, detection, and response capabilities.

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About this course
Instruction detection systems (IDSs) can help organizations monitor networks or systems for malicious activity or policy violations and alert them when such activity is discovered. In this course, you will explore the key roles artificial intelligence (AI) plays in cybersecurity, including prediction, detection, and response. Then you will discover key differences between intrusion detection systems, vulnerability management systems, behavioral analytics, and security auditing systems. Next, you will investigate intrusion detection system types like network intrusion, network node, host intrusion, protocol-based, and application protocol-based intrusion detection systems. Examine intrusion detection system methods, such as signature-based intrusion, anomaly-based, and hybrid intrusion detection, and take a look at AI-based intrusion detection benefits and challenges. Finally, focus on how AI can detect and prevent security threats, and dig into possible future trends related to security threats.
Learning objectives
Discover the key concepts covered in this course
Describe the three key roles ai plays in cybersecurity: prediction, detection, and response
Differentiate between intrusion detection systems, vulnerability management systems, behavioral analytics, and security auditing systems
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Enterprise Security: Using AI for Intrusion Detection & Prevention
Enterprise Security: Using AI for Intrusion Detection & Prevention
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