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The Cybersecurity Analytics and Threat Intelligence course in Dubai equips IT and security professionals with the skills to identify threats, analyze data, and strengthen cyber defenses.

Dubai

Fees: 4700
From: 29-12-2025
To: 02-01-2026

Dubai

Fees: 4700
From: 12-01-2026
To: 16-01-2026

Dubai

Fees: 4700
From: 02-03-2026
To: 06-03-2026

Dubai

Fees: 4700
From: 08-06-2026
To: 12-06-2026

Cybersecurity Analytics and Threat Intelligence

Course Overview

Cybersecurity threats are evolving rapidly, requiring organizations to go beyond traditional defense methods. This Cybersecurity Analytics and Threat Intelligence Training Course provides participants with practical techniques to apply analytics, machine learning, and intelligence frameworks in cybersecurity operations.

Through real-world case studies, labs, and simulations, participants will explore how AI and analytics help detect anomalies, monitor networks, and anticipate threats. They will also examine threat intelligence methods to stay ahead of adversaries and strengthen organizational resilience.

By the end of the course, attendees will be prepared to implement advanced analytics, integrate threat intelligence, and lead AI-driven cyber defense strategies.

Course Benefits

  • Detect and analyze cyber threats with AI tools

  • Strengthen network and system monitoring

  • Apply threat intelligence to prevent cyberattacks

  • Improve incident response with predictive analytics

  • Build strategies for long-term digital resilience

Course Objectives

  • Explore cybersecurity analytics concepts and frameworks

  • Apply anomaly detection for network and system security

  • Integrate AI and machine learning into cyber defense

  • Use threat intelligence platforms for proactive security

  • Develop incident detection and response strategies

  • Understand governance, compliance, and ethical aspects

  • Build organizational capacity for cyber resilience

Training Methodology

The course combines expert-led lectures, hands-on labs, group discussions, and real-world simulations. Participants will work on cyber case studies and apply tools directly to threat scenarios.

Target Audience

  • Cybersecurity professionals and analysts

  • IT managers and digital risk officers

  • Security operations center (SOC) teams

  • Business leaders responsible for cyber resilience

Target Competencies

  • Cybersecurity analytics and monitoring

  • Threat intelligence integration

  • AI-driven cyber defense

  • Risk management and resilience

Course Outline

Unit 1: Introduction to Cybersecurity Analytics

  • Evolution of cyber threats and defenses

  • Role of analytics in modern cybersecurity

  • Benefits and challenges of AI in cyber defense

  • Case studies of analytics in action

Unit 2: Anomaly Detection and Network Monitoring

  • Machine learning for anomaly detection

  • Network traffic analysis with AI tools

  • Identifying zero-day vulnerabilities

  • Real-world examples of anomaly detection

Unit 3: Threat Intelligence Frameworks

  • Fundamentals of threat intelligence

  • Collecting and analyzing threat data

  • Using intelligence platforms and feeds

  • Applying intelligence for proactive defense

Unit 4: Incident Detection and Response with Analytics

  • AI-driven incident detection and response

  • Automating alerts and real-time monitoring

  • Case studies of predictive response strategies

  • Best practices for integrating analytics in SOCs

Unit 5: Governance, Ethics, and Future of Cyber Defense

  • Regulatory compliance in cybersecurity analytics

  • Ethical considerations in AI-enabled defense

  • Building trust in automated security systems

  • Future innovations in threat intelligence

Ready to strengthen your cybersecurity posture?
Join the Cybersecurity Analytics and Threat Intelligence Training Course with EuroQuest International Training and lead the fight against digital threats.

Cybersecurity Analytics and Threat Intelligence

The Cybersecurity Analytics and Threat Intelligence Training Courses in Dubai are designed to equip security professionals, IT managers, analysts, and risk leaders with the tools and methodologies needed to detect, analyze, and respond to evolving cyber threats. These programs focus on developing strategic and analytical capabilities that enable organizations to anticipate attacks, strengthen defenses, and make informed security decisions based on real-time intelligence.

Participants gain a thorough understanding of threat intelligence frameworks, data collection techniques, and analytical methods used to identify malicious patterns, adversary behaviors, and cyberattack trends. The courses explore how advanced analytics, machine learning, network monitoring tools, and security platforms can support proactive threat hunting and incident investigation. Learners also examine how to interpret indicators of compromise, analyze malware behavior, assess vulnerabilities, and correlate threat data across multiple systems and environments.

These cybersecurity analytics training programs in Dubai integrate theoretical foundations with practical, scenario-based learning. Through hands-on exercises, case simulations, and guided threat analysis workshops, participants learn how to build intelligence reports, create actionable security recommendations, and support swift incident response activities. The curriculum also emphasizes collaboration across security operations teams, structured reporting practices, and the importance of aligning threat intelligence with organizational risk priorities.

Attending these training courses in Dubai provides professionals with exposure to a global technology and business hub that prioritizes cyber resilience and digital security. Dubai’s dynamic environment offers valuable real-world context, enabling participants to explore diverse threat landscapes and defense strategies across finance, government, healthcare, logistics, and enterprise sectors.

By completing this specialization, participants will be prepared to strengthen threat detection capabilities, enhance situational awareness, and contribute to more resilient security operations. They will emerge equipped to apply data-driven intelligence, proactively mitigate risks, and support the continuous protection of critical digital assets in an increasingly complex cyber environment.