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AI in CyberSecurity
AI in CyberSecurity
Build skills and get job ready
Skill prep
AI in Cybersecurity
AI-Enhanced Cyber Attacks
Threat Detection
Behavioral Analysis
Anomaly Detection
SOC Automation
Job prep
50+ Guided Projects
AI Resume Builder
AI mock interviews
About this course
In this course of AI in Cybersecurity, we will start with basics of the role of AI in modern cybersecuirty. We will learn into concepts such as Phishing and Social Engineering, Anolmoy detections, Security Operations Center, Insider Threats. This course is a blend of theory and hands-on, we will demonstarte how AI model reduce false postitive in network event classifications, how to prioritse security alreats using NLP, we will also simulate the firewalls and user activity logs and understand security alerts, we will also simulate simple SOC work flow and flag suspicious login attempts. Further more we will analyze phishing emails generated using AI and identify subtle cues and patterns that help in indentifying malicious intent.
This course will also introduce you to User and Entity Behavior Analytics, Explainability & trust that will help Build User Trust in AI-Driven Security Decisions. We will also learn Core Principles of Secure AI System Design, Why AI Governance is Critical in Cybersecurity, The Role of Humans in AI-Driven Cybersecurity. Finally we will introduce you to the career skills and certifications required to enahnce Cybersecurity Knowledge with AI Literacy.
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Course outline
Industry focussed curriculum designed by experts
AI Foundations and Paradigm Shift
7 items
0.51 hr
- Why AI Became Essential in Modern Cybersecurity
- Rule-based vs AI-driven Detection
- Key Security Domains Strengthened by AI
- Defensive Uses of AI
- Offensive Misuse of AI
- How AI Lowers the Barrier for Cyber Attacks
- Ethical and Compliant AI Usage
AI-Enhanced Attack and Cyber Incidents
6 items
1.03 hr
- Reconnaissance
- Evasion
- Scaling Cyber Attacks Using AI Automation
- Deepfake Fraud
- Fraud Automation
- Key Defensive Lessons from AI-Driven Attacks
AI for Threat Detection and Monitoring
3 items
0.48 hr
- Limits of Traditional Threat Detection
- Supervised vs Unsupervised AI for Threat Detection
- False Positives and Building Analyst Trust
AI in Security Operations Center (SOC)
4 items
1.11 hr
- Key Challenges in Modern SOC Operations
- AI-Driven Alert Triage in SOCs
- AI-Based Alert Enrichment in SOCs
- Human-in-the-loop SOC
AI for Phishing & Social Engineering
4 items
1.14 hr
- Evolution of Phishing to AI-Driven Attacks
- AI-powered Phishing Realism
- AI-Driven Identity and Impersonation Attacks
- Defending Against AI-Enhanced Phishing
Anomaly Detection & Insider Threats
4 items
1.06 hr
- Challenges in Detecting Insider Threats
- Detecting Insider Threats Using Anomaly Detection
- Introduction to UEBA
- Risks of Over-Automation in Detection Systems
Securing AI Systems
4 items
1.12 hr
- Attacks Targeting AI Models
- Misuse and Abuse of AI Models
- Explainable AI and Trust in Security Decisions
- Secure-by-Design AI Systems
AI Governance and Ethics in Cybersecurity
4 items
1.13 hr
- Importance of AI Governance in Cybersecurity
- Responsible AI in Cybersecurity
- AI Policy and Compliance Essentials
- Preparing the Cyber Workforce for AI
Future of AI in Cybersecurity
3 items
0.47 hr
- The Future of Autonomous Cyber Defense
- Future SOCs - AI and Human Collaboration
- Career Paths in AI-Powered Cybersecurity
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Start 7-Day Free TrialGuided Projects
Solve real-world projects with a step-by-step guide, starter code templates, and access to model solutions to boost your skills and build a standout resume.
Get a project certificate to add to your resume
Earn a certificate for every project you complete.
- GUIDED PROJECT 1
- AI-Powered Threat Detection Dashboard
- In this project, you will develop an interactive dashboard that utilizes AI algorithms to analyze cyber threat data in real time. The dashboard aims to help cybersecurity professionals visualize potential threats, categorize them effectively, and respond in a timely manner. As cyber threats grow increasingly sophisticated, this tool becomes vital for identifying and mitigating risks efficiently.
- GUIDED PROJECT 2
- Insider Threat Detection System
- This project is focused on developing an Insider Threat Detection System that leverages machine learning to analyze user behavior for signs of potential insider threats. The system will identify deviations from established norms by using data on user activities and flagging suspicious actions for further investigation.
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