You will master the most advanced Intrusion Prevention techniques that will allow you to anticipate attacks and protect critical digital infrastructures in real time. And all 100% online!”

Intrusion Detection and Prevention is one of the most critical areas in modern cybersecurity. This field focuses on identifying and mitigating unauthorized access, malicious activity and other threats that compromise both the integrity and availability of IT systems. In a digital environment where attacks are becoming increasingly advanced, traditional approaches to protection are proving insufficient. This is where Generative Artificial Intelligence is transforming the way security breaches are detected and prevented.

According to the International Telecommunications Union, global cyber-attacks have increased by 38% in recent years, affecting businesses, governments and individuals alike. In addition, the World Economic Forum identified cyber threats as one of the main dangers to economic and social stability in its most recent Global Risk Report. These figures underscore the need for advanced solutions that not only respond to known attacks, but are also capable of anticipating new malicious activities.

With this idea in mind, TECH has designed this innovative Postgraduate certificate through which computer scientists will develop advanced skills in the implementation of Intrusion Detection and Prevention systems powered with Generative Artificial Intelligence, understanding how to analyze large volumes of data, identify anomalous patterns and simulate attack scenarios to anticipate emerging threats. In addition, they will delve into the integration of tools such as Gemini in network security and performance evaluation of intelligent systems in critical environments.

In this context, TECH offers a completely online academic program, designed with total flexibility. In this way, professionals will only need a device with Internet access to consult all the teaching materials. In addition, they will benefit from the innovative Relearning methodology, based on the strategic reiteration of key concepts to facilitate a natural, effective and lasting assimilation of the contents.

You will delve into the use of Generative Artificial Intelligence to implement innovative solutions that accurately detect threats”

The Postgraduate certificate in Intrusion Detection and Prevention Using Generative Artificial Intelligence Models contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Intrusion Detection and Prevention Using Generative Artificial Intelligence Models
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
  Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will benefit from the Relearning methodology, in which TECH is a pioneer, that optimizes your learning through strategic reiteration of the most relevant concepts”

The program’s teaching staff includes professionals from the industry who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned experts.

You will delve into the development of intelligent systems to ensure their effectiveness and adaptability in the face of emerging cyber threats"

With this university program, you will specialize in the simulation of cyber attacks with state-of-the-art Generative Models"

This university program offers a comprehensive vision of Intrusion Detection and Prevention systems, highlighting the innovative use of Generative Artificial Intelligence. Through this academic itinerary, the computer scientist will explore the fundamentals of IDS/IPS systems to their integration with advanced tools such as Gemini, applying Big Data analysis techniques, clustering and data reduction. In addition, key topics such as attack simulation and model evaluation will be addressed, preparing the professional to face the challenges of modern Cybersecurity with practical solutions.

You will build a solid foundation in Clustering, developing cutting-edge solutions for today's digital security challenges”

Module 1. Intrusion Detection and Prevention Using Generative Artificial Intelligence Models

1.1. Fundamentals of IDS/IPS Systems and the Role of Artificial Intelligence

1.1.1. Definition and Basic Principles of IDS and IPS Systems
1.1.2. Main Types and Configurations of IDS/IPS
1.1.3. Contribution of Artificial Intelligence in the Evolution of Detection and Prevention Systems

1.2. Use of Gemini for Network Anomaly Detection

1.2.1. Concepts and Types of Anomalies in Network Traffic
1.2.2. Gemini's Features for Network Data Analysis
1.2.3. Benefits of Anomaly Detection in Intrusion Prevention

1.3. Gemini and the Identification of Intrusion Patterns

1.3.1. Principles of Intrusion Pattern Identification and Classification
1.3.2. AI Techniques Applied in the Detection of Threat Patterns
1.3.3. Types of Patterns and Anomalous Behavior in Network Security

1.4. Application of Generative Models in Attack Simulation

1.4.1. Fundamentals of Generative Models in Artificial Intelligence
1.4.2. Use of Generative Models to Recreate Attack Scenarios
1.4.3. Advantages and Limitations of Attack Simulation Using Generative Artificial Intelligence

1.5. Clustering and Event Classification Using Artificial Intelligence

1.5.1. Fundamentals of Clustering and Classification in Intrusion Detection
1.5.2. Common Clustering Algorithms Applied in Cybersecurity
1.5.3. Role of Artificial Intelligence in Improving Event Classification Methods

1.6. Gemini in the Generation of Behavioral Profiles

1.6.1. User and Device Profiling Concepts
1.6.2. Application of Generative Models in the Creation of Profiles
1.6.3. Benefits of Behavioral Profiling in Threat Detection

1.7. Big Data Analysis for Intrusion Prevention

1.7.1. Importance of Big Data in Detecting Security Patterns
1.7.2. Methods for Processing Large Volumes of Data in Cybersecurity
1.7.3. AI Applications in Analysis and Prevention Based on Big Data

1.8. Data Reduction and Selection of Relevant Features with Artificial Intelligence

1.8.1. Principles of Dimensionality Reduction in Large Data Volumes
1.8.2. Feature Selection to Improve the Efficiency of Artificial Intelligence Analysis
1.8.3. Data Reduction Techniques Applied in Cybersecurity

1.9. Evaluation of Artificial Intelligence Models in Intrusion Detection

1.9.1. Evaluation Criteria of Artificial Intelligence Models in Cybersecurity
1.9.2. Performance and Accuracy Indicators of the Models
1.9.3. Importance of Constant Validation and Evaluation in Artificial Intelligence

1.10. Implementation of an Intrusion Detection System Powered by Generative Artificial Intelligence

1.10.1. Basic Concepts of Intrusion Detection System Implementation
1.10.2. Integration of Generative Artificial Intelligence in IDS/IPS Systems
1.10.3. Key Aspects for the Configuration and Maintenance of Artificial Intelligence-Based Systems

You will apply tools such as Gemini for Network Analysis and Pattern Identification to achieve optimal results in Intrusion Prevention”