The Cybersecurity Analytics and Threat Intelligence in Amman is a professional training course designed to equip participants with advanced skills in proactive cyber defense.
From:
04-05-2026
From:
09-11-2026
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.
The Cybersecurity Analytics and Threat Intelligence Training Courses in Amman provide professionals with advanced knowledge and practical skills to detect, analyze, and respond to cyber threats using data-driven approaches. Designed for cybersecurity analysts, SOC teams, risk managers, and IT security leaders, these programs focus on leveraging analytics and threat intelligence to enhance organizational resilience, protect critical assets, and proactively mitigate security risks.
Participants gain a comprehensive understanding of cybersecurity analytics and threat intelligence, exploring key topics such as threat data collection, anomaly detection, malware and attack pattern analysis, threat modeling, and intelligence-driven incident response. The courses emphasize how to transform raw security data into actionable insights, prioritize risks, and implement proactive defense strategies. Through hands-on exercises, simulations, and case studies, attendees learn to analyze attack vectors, detect advanced threats, and apply predictive analytics to strengthen organizational defenses.
These threat intelligence and cybersecurity analytics training programs in Amman combine technical expertise with strategic risk management. Participants explore advanced tools and frameworks, including SIEM platforms, MITRE ATT&CK, machine learning for threat detection, and automated reporting systems. The curriculum also addresses regulatory compliance, ethical considerations, and governance in cybersecurity operations, ensuring that intelligence-driven strategies align with organizational policies and global best practices.
Attending these training courses in Amman provides professionals access to international experts and an interactive, collaborative learning environment in a city recognized for its growing cybersecurity and technology ecosystem. By completing this specialization, participants will be equipped to implement cybersecurity analytics and threat intelligence programs effectively—enhancing threat detection, improving response capabilities, strengthening security posture, and supporting data-driven, proactive defense in today’s rapidly evolving digital and cyber threat landscape.