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 Barcelona provide professionals with the advanced analytical and strategic capabilities to identify, analyze, and mitigate evolving cyber threats. Designed for cybersecurity analysts, SOC professionals, risk managers, and IT leaders, these programs focus on leveraging data analytics, artificial intelligence, and intelligence frameworks to strengthen proactive defense and incident response.
Participants gain a comprehensive understanding of cybersecurity analytics and threat intelligence, exploring how data-driven methodologies and threat intelligence platforms enhance detection and response capabilities. The courses cover essential topics such as threat hunting, behavioral analytics, malware analysis, cyber threat intelligence (CTI) lifecycle, and the use of machine learning in anomaly detection. Through hands-on exercises and case-based simulations, participants learn to correlate security data, identify emerging attack patterns, and transform raw threat data into actionable intelligence.
These cyber threat intelligence and analytics training programs in Barcelona integrate strategic decision-making with technical proficiency. The curriculum emphasizes frameworks such as MITRE ATT&CK, NIST, and ISO 27001 while exploring intelligence sharing, automation, and orchestration techniques. Participants also develop the skills to evaluate threat actor behaviors, assess vulnerabilities, and implement intelligence-led security strategies that align with organizational risk priorities and compliance requirements.
Attending these training courses in Barcelona offers professionals an invaluable opportunity to engage with global experts and peers in one of Europe’s leading cybersecurity and technology hubs. The city’s dynamic digital ecosystem and innovation-driven environment provide the ideal setting for applied learning and collaboration. By completing this specialization, participants will be equipped to lead cybersecurity analytics and threat intelligence initiatives, enhancing situational awareness, improving security posture, and ensuring resilient defense against today’s rapidly evolving cyber threat landscape.