As cyber threats become more complex and frequent, traditional security tools alone are no longer sufficient. Artificial Intelligence (AI) is now playing a critical role in transforming cybersecurity from reactive protection to proactive defense. By using machine learning and automation, AI systems can detect anomalies, predict attacks, and even respond to threats autonomously in real time.

This course offers a practical exploration of how AI is integrated into modern cybersecurity operations. Participants will learn about AI-powered threat detection, behavioral analytics, autonomous response systems, and the ethical considerations of handing over decisions to intelligent machines. Through real-world examples and hands-on simulations, learners will gain the skills needed to enhance digital defenses with AI technologies.

By the end of this course, participants will be able to:

Understand how AI and machine learning are used in cybersecurity.
Identify patterns and anomalies that signal cyber threats using AI tools.
Implement AI-driven intrusion detection and behavior analysis.
Explore autonomous defense mechanisms and automated incident response.
Evaluate AI solutions for threat prediction and real-time protection.
Address privacy, bias, and accountability in AI security systems.
Design a roadmap for integrating AI into cybersecurity frameworks.

This course is ideal for:

Cybersecurity analysts and IT security professionals.
Security operations center (SOC) team members.
Network and infrastructure engineers.
AI and machine learning engineers working in security.
CISOs, CTOs, and technology risk leaders.
Ethical hackers and penetration testers.
Government and military cybersecurity units.

The course blends theoretical frameworks with technical demonstrations, scenario-based exercises, and tool walkthroughs. Participants will explore current AI security platforms, analyze attack simulations, and design AI-enhanced defense protocols. Group activities focus on risk evaluation and ethical implementation.

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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محتوى الكورس

Section 1: The Role of AI in Modern Cybersecurity

Cybersecurity challenges in a hyperconnected world.
Limitations of traditional threat detection systems.
Introduction to AI and machine learning in security.
Key technologies: supervised vs. unsupervised learning, anomaly detection.
Cyber threat landscape: phishing, ransomware, zero-day exploits.
Case study: How AI stopped a real-world cyberattack.

Section 2: Predictive Threat Detection with AI

Behavioral analysis and user activity modeling.
Machine learning for threat hunting and anomaly spotting.
AI in email security, fraud detection, and phishing prevention.
Natural Language Processing (NLP) in analyzing malicious communication.
Building datasets and training security models.
Hands-on demo: AI-based threat prediction in SIEM systems.

Section 3: Autonomous Response and Real-Time Defense

What is autonomous defense? From alert to action.
SOAR (Security Orchestration, Automation, and Response) platforms.
Automated patching, isolation, and mitigation techniques.
AI-powered endpoint protection and network firewalls.
Incident response bots and playbooks.
Simulation: Responding to a breach using AI automation.

Section 4: Challenges, Risks, and Ethical Considerations

Risks of false positives/negatives and automation errors.
Bias in security models and fairness in AI responses.
Balancing speed with human oversight.
Privacy and legal implications in AI-driven surveillance.
Transparency and explainability in AI decisions.
Governance models for responsible AI in cybersecurity.

Section 5: Implementing AI in Cyber Defense Strategy

Integrating AI tools into existing cybersecurity infrastructure.
Choosing the right platforms and vendors.
Skills and team requirements for AI-enhanced operations.
Building cross-functional collaboration between AI and security teams.
Metrics for success: detection rate, response time, incident reduction.
Roadmap: Designing your AI-in-cybersecurity action plan.

تفاصيل الشهادة

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