Course in AI of SIEM Systems for Threat Detection + 8 ECTS Credits

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Course in AI of SIEM Systems for Threat Detection + 8 ECTS Credits

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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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AI Course Qualification in SIEM Systems for Threat Detection with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

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Course in AI of SIEM Systems for Threat Detection + 8 ECTS Credits

Información adicional del UNIVERSITY COURSE

Course in AI of SIEM Systems for Threat Detection + 8 ECTS Credits

6 months de tutorización

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Course information

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Course information

Description
In the current cybersecurity landscape, the sophistication of threats is growing exponentially, making traditional security systems insufficient. The integration of Artificial Intelligence (AI) in SIEM (Security Information and Event Management) Systems emerges as a crucial solution for the proactive and effective detection of these threats. The AI ​​in SIEM Systems for Threat Detection course addresses the critical need for professionals trained in the implementation and management of AI-powered SIEMs, providing the skills to analyze large volumes of security data, identify anomalous patterns, and automate incident responses.

Job opportunities

The main professional opportunities of the AI ​​course in SIEM Systems for Threat Detection include areas such as SOC security analysis, cybersecurity solution architecture, and computer security consulting. This course opens doors in cybersecurity departments and managed security service providers (MSSP).

What does it prepare you for?

Upon completing the AI ​​course in SIEM Systems for Threat Detection, students will be prepared to design, implement and manage SIEM systems with AI capabilities, capable of detecting and responding to cybersecurity threats with greater precision and speed. Skills will be developed to integrate Machine Learning algorithms in the correlation of events, identify anomalous behavior and optimize incident management.

Who is it addressed to?

The AI ​​in SIEM Systems for Threat Detection Course is aimed at professionals in cybersecurity, SOC (Security Operations Center) analysis, security engineering, security architecture and systems administration interested in improving the detection and response to threats through Artificial Intelligence applied to SIEM systems.

Objectives

- Understand the integration of AI in SIEM environments. - Identify and analyze advanced cybersecurity threats. - Apply Machine Learning to detect anomalies. - Configure SIEM rules powered by AI capabilities. - Develop automated response strategies with AI. - Evaluate the effectiveness of AI-based SIEM solutions.

Course in AI of SIEM Systems for Threat Detection + 8 ECTS Credits

$308.00