AI in Cyber Security- Hands-On SOC automation

Unlock the potential of Artificial Intelligence (AI) for enhanced cybersecurity with this comprehensive course. Go beyond the basics and gain practical skills in building intelligent defenses against modern threats. This program takes you from fundamental AI and Machine Learning (ML) concepts to implementing cutting-edge threat detection solutions.

What You'll Learn:

• Core AI & ML for Cyber Defense: Understand the essential AI and ML concepts driving modern cybersecurity.
• Machine Learning for Threat Detection: Apply machine learning techniques for effective intrusion detection and anomaly detection.
• Deep Learning for Zero-Day Attacks: Build and evaluate deep learning models to identify and mitigate zero-day attack threats.
• AI in SOC Operations: Leverage AI to improve log analytics, Cyber Threat Intelligence (CTI), and streamline Security Operations Center (SOC) workflows.
• Adversarial AI & Defenses: Explore the risks of adversarial AI and learn strategies for building robust defenses.
• End-to-End Threat Detection Pipeline: Develop a complete threat detection pipeline, from data ingestion to deployment.
• AI Integration with SOC Tools: Integrate AI solutions with popular SOC tools like Splunk, Microsoft Sentinel, and n8n.
• Real-World Case Studies: Analyze case studies from industry leaders like Google, Microsoft, and innovative startups.
• Future of AI in Security: Anticipate emerging trends in AI for security, including SOC automation, federated learning, quantum security, and ethical considerations.

Hands-On Labs:

• Intrusion Detection with ML: Build custom intrusion detection systems using machine learning models.
• Deep Learning for Anomaly Detection: Implement deep learning techniques like autoencoders for advanced anomaly detection.
• NLP for Phishing Detection: Utilize Natural Language Processing (NLP) to identify and prevent phishing email detection.
• Malware Classification with ML: Classify malware using powerful machine learning features.
• Fraud Detection: Develop fraud detection models based on anomaly detection principles.
• End-to-End Threat Detection Pipeline: Create and simulate a complete end-to-end threat detection pipeline for practical application.
• SOC Automation with n8n: Preview SOC automation using n8n playbooks for efficient incident response.

Who This Course Is For:

• Cybersecurity Professionals: Enhance your skillset with valuable AI/ML skills to strengthen your cybersecurity defenses.
• SOC Analysts & Engineers: Automate threat detection and response processes to improve efficiency.
• Data Scientists & ML Engineers: Explore exciting AI applications in cybersecurity and contribute to innovative security solutions.
• Students & Career Changers: Gain a competitive edge in the rapidly growing field of AI-driven cyber defense.