AI-Enabled Cybersecurity prepares learners to apply artificial intelligence to strengthen cybersecurity operations, improve threat detection, and support more effective security decision-making. Designed for IT professionals, cybersecurity practitioners, aspiring analysts, and technology learners, this program explores how AI is transforming modern security practices through automation, advanced analytics, and intelligent threat response.
AI-Enabled Cybersecurity
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Explain how AI is applied to strengthen cybersecurity operations.
Classify AI technologies used in modern threat detection and prevention.
Explain how AI supports vulnerability assessment and penetration testing.
Describe AI applications for authentication, access control, and Security Operations Centers (SOCs).
Explain how AI improves incident response, security analytics, and threat intelligence.
Details to know
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Recently updated!
August 2026
Assessments
65 assignments
Taught in English
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There are 4 modules in this course
Artificial intelligence is transforming the way organizations detect, respond to, and defend against cyber threats. Before exploring specific applications, it's important to understand both the opportunities and the responsibilities that come with using AI in cybersecurity. In this module, you'll examine the fundamental concepts behind AI-powered cybersecurity, explore its benefits and limitations, and consider the ethical and security challenges that influence its responsible use. As you progress through the lessons, consider how balancing innovation with thoughtful risk management can lead to stronger, more resilient cybersecurity practices. <p><b>Module Objective:</b> Illustrate the fundamental applications for AI in cybersecurity</p>
What's included
59 readings12 assignments
59 readings•Total 158 minutes
- Introduction to AI in cybersecurity•1 minute
- Introduction•1 minute
- Module summaries•1 minute
- Tips for success•1 minute
- Key takeaways•1 minute
- Overview: AI in cybersecurity fundamentals•1 minute
- Introduction•1 minute
- Upcoming lessons•2 minutes
- Key takeaways•1 minute
- Applying AI to cybersecurity•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- Introduction to applying AI in cybersecurity•3 minutes
- Application of AI in cybersecurity operations•6 minutes
- AI for threat detection and prevention•5 minutes
- IDS-ML in action•6 minutes
- Automating vulnerability scanning with OpenSCAP•5 minutes
- SCAP incident reports•7 minutes
- Penetration testing automation•3 minutes
- User authentication and access control with AI•4 minutes
- Incident response automation with AI•3 minutes
- Security analytics with AI•1 minute
- AI and ML in security analytics•6 minutes
- Additional resources•1 minute
- Key takeaways•1 minute
- Challenges and benefits of AI in cybersecurity•1 minute
- Key terms•2 minutes
- Navigating the pros and cons of using AI•7 minutes
- Benefits of AI in cybersecurity•1 minute
- Reduction in the cost of data breaches•20 minutes
- Enhanced threat detection•1 minute
- Improved response time•2 minutes
- Increased efficiency through automation•2 minutes
- Example: Copilot•4 minutes
- Better predictive analytics•3 minutes
- Security data lakehouse functions•2 minutes
- Challenges of AI in cybersecurity•2 minutes
- Dealing with false positives•2 minutes
- False positives•3 minutes
- Data privacy•2 minutes
- Maintaining human oversight•4 minutes
- Human in the loop (HITL)•3 minutes
- High overhead of AI systems and workflows•2 minutes
- Additional resources•1 minute
- Key takeaways•1 minute
- Potential risks and ethical considerations for AI in cybersecurity•1 minute
- Key terms•1 minute
- Introduction•1 minute
- Understanding risks and ethics•3 minutes
- Ethical concerns•3 minutes
- How algorithmic bias occurs•3 minutes
- Mitigating algorithmic bias•1 minute
- Exploitation by malicious actors•4 minutes
- Mitigating exploitation risk•3 minutes
- AI applications in cybersecurity•3 minutes
- Additional resources•1 minute
- Key takeaways•1 minute
- Summary and assessment: AI in cybersecurity fundamentals•2 minutes
- Key takeaways•1 minute
12 assignments•Total 102 minutes
- Assessment: AI in cybersecurity fundamentals•72 minutes
- Knowledge check: Signature-based methods•2 minutes
- Knowledge check: Applying AI to cybersecurity•2 minutes
- Knowledge check: Applying AI to cybersecurity•2 minutes
- Knowledge check: Applying AI to cybersecurity•2 minutes
- Knowledge check: Applying AI to cybersecurity•2 minutes
- Knowledge check: Benefits of AI in cybersecurity •2 minutes
- Knowledge check: Challenges of AI in cybersecurity •2 minutes
- Knowledge check•6 minutes
- Knowledge check: Bias in algorithms •2 minutes
- Knowledge check: Exploitation by malicious actors•2 minutes
- Knowledge check•6 minutes
AI is becoming an essential tool for strengthening modern cybersecurity operations. In this module, you'll explore how AI supports security professionals by improving threat detection, automating routine tasks, strengthening access controls, and accelerating incident response. You'll also examine how AI helps organizations identify vulnerabilities, analyze security data, and generate actionable threat intelligence to make faster, more informed security decisions. As you explore these operational use cases, consider where AI provides the greatest value and where human expertise remains essential for effective cybersecurity. <p><b>Module Objective:</b> Describe how AI can be applied to cybersecurity operations</p>
What's included
96 readings23 assignments
96 readings•Total 322 minutes
- Overview: AI for cybersecurity operations•1 minute
- Upcoming lessons•3 minutes
- Key takeaways•1 minute
- AI techniques for threat detection and prevention•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- AI in cybersecurity•3 minutes
- AI-based malware•1 minute
- True malware polymorphism: BlackMamba•3 minutes
- Phishing with AI•6 minutes
- Automating phishing attacks: WormGPT•4 minutes
- AI for DDoS attacks and APTs•3 minutes
- ATLAS ML threat matrix•8 minutes
- ATLAS anatomy of AI-powered cyber attacks•7 minutes
- AI techniques to detect and prevent threats•1 minute
- AI for network traffic and analysis•2 minutes
- AI for intrusion detection•5 minutes
- AI for malware detection and classification•6 minutes
- Additional resources•1 minute
- Key takeaways•1 minute
- AI for vulnerability assessment and penetration testing•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- Automating vulnerability scanning and pentesting•4 minutes
- VAPT automation with AI•1 minute
- AI-powered vulnerability assessment tools•6 minutes
- Vulnerability scanning•5 minutes
- AI in pentesting•1 minute
- Benefits of pentesting•2 minutes
- AI-enhanced reconnaissance•3 minutes
- AI for exploitation•8 minutes
- Reporting and analysis•1 minute
- Implementing AI in VAPT•30 minutes
- Key takeaways•1 minute
- AI for user authentication and access control•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- AI in adaptive access controls•5 minutes
- AI for user authentication and access control•4 minutes
- AI-driven access control systems•6 minutes
- AI-enhanced, risk-based authentication•2 minutes
- Real-time risk assessment•6 minutes
- Adaptive multifactor authentication (MFA)•10 minutes
- User and entity behavior analytics•1 minute
- Behavioral biometrics•3 minutes
- Shifting towards user-centered security•1 minute
- Key takeaways•1 minute
- AI for the security operations center•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- AI-driven SOC operations•3 minutes
- ML-enabled forensic analysis•4 minutes
- AI-powered threat detection•1 minute
- Anomaly detection•3 minutes
- Threat intelligence integration•15 minutes
- Behavioral analysis•6 minutes
- Threat hunting•1 minute
- AI-powered threat hunting•4 minutes
- Crowdsourced AI•4 minutes
- AI-driven incident response•1 minute
- Automated incident triage•1 minute
- AI-driven incident response•4 minutes
- Additional resources•1 minute
- Key takeaways•1 minute
- AI for incident response and automation•1 minute
- Key terms•1 minute
- Introduction•1 minute
- Incident response automation using AI•4 minutes
- Mitigating risk•1 minute
- Incident response challenges•4 minutes
- AI-powered benefits•3 minutes
- AI-enabled SOAR tools and platforms•5 minutes
- AI for incident triage and prioritization•3 minutes
- Automating workflows and playbooks•1 minute
- Shuffle•3 minutes
- Using AI for automation scripts•1 minute
- Preparing for AI-powered incident response and automation•5 minutes
- Key takeaways•1 minute
- AI for security analy-tics and threat intelligence•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- Security analytics with artificial intelligence•3 minutes
- AI for security analytics•2 minutes
- Detecting unknown anomalies•4 minutes
- Unknown data•3 minutes
- Security analytics•4 minutes
- Threat intelligence platforms•5 minutes
- NVIDIA morpheus•3 minutes
- AI for threat intelligence•3 minutes
- Tools and methods•5 minutes
- AI-driven threat intelligence•4 minutes
- Special considerations and requirements•15 minutes
- Key takeaways•1 minute
- Summary and assessment: AI for cybersecurity operations•2 minutes
- What you’ve learned•7 minutes
- Key takeaways•1 minute
23 assignments•Total 203 minutes
- Assessment: AI for vulnerability assessment and penetration testing•50 minutes
- Assessment: AI for incident response and automation•50 minutes
- Assessment: AI for cybersecurity operations•30 minutes
- Knowledge check: BlackMamba•2 minutes
- Knowledge check: Automating phishing attacks•2 minutes
- Knowledge check: ATLAS anatomy of AI-powered cyber attacks•4 minutes
- Knowledge check: AI techniques for threat detection and prevention•2 minutes
- Knowledge check: AI-powered vulnerability assessment tools•4 minutes
- Knowledge check: AI in pentesting•2 minutes
- Knowledge check: AI for exploitation•3 minutes
- Knowledge check: AI for user authentication and access control•2 minutes
- Knowledge check: Adaptive access controls•2 minutes
- Knowledge check: Adaptive multifactor authentication•5 minutes
- Knowledge check: User and entity behavior analytics•8 minutes
- Knowledge check: Continuous monitoring and ML-enabled forensic analysis•2 minutes
- Knowledge check•8 minutes
- Knowledge check: Automated incident triage•2 minutes
- Knowledge check: AI-enabled incident response and automation benefits•6 minutes
- Knowledge check: AI-enabled SOAR tools and platforms•4 minutes
- Knowledge check: Preparing for AI-powered incident response and automation•1 minute
- Knowledge check•6 minutes
- Knowledge check: AI for threat intelligence: Tools and methods •6 minutes
- Knowledge check: Special considerations and requirements •2 minutes
The rapid evolution of AI is creating new opportunities and new challenges for cybersecurity professionals. In this module, you'll explore how AI is being applied across industries to protect cloud environments, detect fraud, secure critical infrastructure, moderate online content, and defend against emerging threats. You'll also examine the legal, ethical, and privacy considerations that shape responsible AI implementation. Before you complete the course, take note of how these real-world examples bring together the concepts you've explored throughout the program. They provide a valuable perspective for reviewing the material and preparing for the final assessment. <p><b>Module Objective:</b> Describe the current issues and use cases for AI in cybersecurity</p>
What's included
115 readings29 assignments
115 readings•Total 220 minutes
- Overview: Current issues and use cases for AI in cybersecurity•1 minute
- Introduction•1 minute
- Lessons in this module•2 minutes
- Key takeaways•1 minute
- Privacy and ethics for AI in cybersecurity•1 minute
- Key terms•2 minutes
- Legal frameworks•1 minute
- Legal frameworks and ethical considerations•1 minute
- Legal frameworks for AI in cybersecurity•2 minutes
- Understanding legal frameworks•3 minutes
- Check your understanding•1 minute
- Examples of legal frameworks in cybersecurity•4 minutes
- Exploring privacy implications•1 minute
- Impact of AI on personal data•4 minutes
- Evaluating ethical considerations•2 minutes
- Balancing security with privacy•1 minute
- Security measures versus privacy rights•1 minute
- Protecting personal information•1 minute
- The importance of transparency•3 minutes
- Ethical considerations for AI in cybersecurity•2 minutes
- Key ethical principles in AI cybersecurity•2 minutes
- Check your understanding•2 minutes
- Key takeaways•2 minutes
- AI for cloud security•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- The role of AI in cloud security•2 minutes
- Protection for cloud-based IT environments•3 minutes
- Threat detection•2 minutes
- AI for threat detection•2 minutes
- ML and anomaly detection•2 minutes
- Threat mitigation•2 minutes
- AI in threat mitigation•3 minutes
- Benefits of using AI for cloud security•2 minutes
- AI for cloud security•1 minute
- Improving accuracy with AI technologies•4 minutes
- Deep learning•2 minutes
- Three benefits for using AI for cloud security•2 minutes
- Check your understanding•2 minutes
- Key takeaways•1 minute
- AI for fraud detection and cybersecurity in finance•1 minute
- Introduction•1 minute
- Role of AI in fraud analytics•1 minute
- ML for pattern recognition and anomaly detection•2 minutes
- Exploring financial anomaly detection with AI•3 minutes
- Implementing an AI system for fraud detection•2 minutes
- Check your understanding•3 minutes
- Implementing AI for fraud detection•1 minute
- Data collection in AI-driven fraud detection•2 minutes
- Feature extraction•1 minute
- Feature engineering•2 minutes
- Model training•2 minutes
- Understanding model training•2 minutes
- Testing and deployment•2 minutes
- Key takeaways•2 minutes
- AI for ICS and IoT cybersecurity•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- The role of AI in ICS and IoT security•1 minute
- The role of AI in threat detection•1 minute
- Examples of AI threat detection•2 minutes
- Proactive threat detections•1 minute
- Securing IoT devices with AI•3 minutes
- Automated response•1 minute
- Automated response in AI-based cybersecurity•2 minutes
- Automated responses in action•2 minutes
- Benefits of AI-driven automation•1 minute
- Application areas•1 minute
- Sensor networks•1 minute
- Examples of AI sensor networks•2 minutes
- AI in critical infrastructure•3 minutes
- AI in healthcare environments•2 minutes
- Check your understanding•3 minutes
- Key takeaways•2 minutes
- AI for social media and online security•1 minute
- Key terms•1 minute
- Introduction•1 minute
- The role of AI in content moderation•2 minutes
- Training AI systems•2 minutes
- AI in social media content moderation•3 minutes
- AI moderation in action•3 minutes
- The importance of human moderation in social media•3 minutes
- AI in social media•1 minute
- Social media and cybersecurity•4 minutes
- Check your understanding•1 minute
- Combating cyberthreats with AI•5 minutes
- Detecting fake news with AI•1 minute
- Use AI to detect fake news•6 minutes
- Check your understanding•1 minute
- User behavior analysis using AI•3 minutes
- Check your understanding•1 minute
- Behavior analytics in action•4 minutes
- Methods for enhancing online security with AI•6 minutes
- Key takeaways•1 minute
- Adversarial ML and AI attacks•1 minute
- Key terms•2 minutes
- Introduction•1 minute
- Adversarial AI attacks and defense mechanisms•7 minutes
- Understanding adversarial attacks•1 minute
- Evasion attacks•1 minute
- How to counter evasion attacks•2 minutes
- Manipulating images to deceive AI models•2 minutes
- Poisoning attacks•1 minute
- How to counter poisoning attacks•3 minutes
- Defense mechanisms against adversarial attacks•1 minute
- Robustness techniques•1 minute
- Three methods for applying robustness techniques•2 minutes
- Check your understanding•2 minutes
- Detection methods•1 minute
- Three strategies for applying detection methods•2 minutes
- Robustness techniques vs detection methods•2 minutes
- Key takeaways•1 minute
- Summary and assessment•1 minute
- Summary•1 minute
- Key takeaways•1 minute
29 assignments•Total 129 minutes
- Assessment: Current issues and use cases for AI in cybersecurity•1 minute
- Knowledge check•6 minutes
- Knowledge check: Privacy limitations•3 minutes
- Knowledge check: Exploring privacy implications•3 minutes
- Knowledge check•12 minutes
- Knowledge check: AI in cloud security•3 minutes
- Knowledge check•4 minutes
- Knowledge check: Threat mitigation•2 minutes
- Knowledge check: Managing complex cyberthreats•3 minutes
- Knowledge check•9 minutes
- Knowledge check•9 minutes
- Knowledge check: Anomalies and fraud detection•3 minutes
- Knowledge check: Testing phase•3 minutes
- Knowledge check: Implementing fraud detection•3 minutes
- Knowledge check: Feature engineering•3 minutes
- Knowledge check•12 minutes
- Knowledge check: Securing critical infrastructure•3 minutes
- Knowledge check•6 minutes
- Knowledge check: Automated response•3 minutes
- Knowledge check: Critical infrastructure•3 minutes
- Knowledge check: AI cybersecurity measures•3 minutes
- Knowledge check: AI in content moderation•2 minutes
- Knowledge check: AI content moderation•2 minutes
- Knowledge check: User behavior analysis using AI•3 minutes
- Knowledge check•8 minutes
- Knowledge check•10 minutes
- Knowledge check: Adversarial attacks on AI models•3 minutes
- Knowledge check: Robustness techniques•2 minutes
- Knowledge check: AI defense mechanisms•2 minutes
You've explored how AI is transforming cybersecurity, from understanding its core concepts to applying it across cybersecurity operations and real-world use cases. In this final module, you'll review the key concepts and strategies you've learned throughout the course before completing the final assessment. Take a few moments to reflect on how AI can strengthen cybersecurity while balancing operational, ethical, and security considerations. This review will help reinforce your understanding and prepare you for the assessment ahead. <p><b>Module Objective:</b> Analyze how AI technologies can be used to improve cybersecurity and address evolving cyber threats</p>
What's included
7 readings1 assignment
7 readings•Total 11 minutes
- Summary: Applying AI in cybersecurity•1 minute
- Overview•2 minutes
- Module review part 1•2 minutes
- Module review part 2•2 minutes
- Key takeaways•2 minutes
- Final quiz•1 minute
- Key takeaways•1 minute
1 assignment•Total 33 minutes
- Assessment: AI in cybersecurity•33 minutes
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