Course Customization Options To request a customized training for this course, please contact us to arrange.

CYBER SECURITY

Android Security

Course Customization Options To request a customized training for this course, please contact us to arrange.

Duration 2 days – 14 hrs   Overview   This course provides a comprehensive understanding of the Anti-Money Laundering Act (AMLA) of the Philippines and techniques for identifying and handling counterfeit money. It equips participants with the knowledge to detect suspicious transactions, fulfill AML compliance obligations, and mitigate financial crime risks. Real-world case studies, regulatory...

Course Customization Options To request a customized training for this course, please contact us to arrange.

Duration 3 Days – 21 hrs   Overview   The Azure Security, Identity and Compliance Training Course is designed to provide participants with a practical understanding of how to secure Microsoft Azure environments using identity management, access control, security monitoring, governance, and compliance tools.   This course covers Microsoft Entra ID, Azure role-based access control,...

This 3-days course aims to introduce students to basic principles of packet networks analysis using Wireshark tool - the world’s most popular network analyzer. It covers in detail, all basics elements and features of Wireshark. The course starts with reviewing key concepts and formalisms of ISO OSI Reference Model (ITU-T X.200) to more efficiently troubleshoot network layer by layer, and TCP/IP protocol suite. The essential part of the training is dedicated to methods and aspects of packet capturing process and offline analysis of the captured traffic. The goal of the analysis is to identify and resolve problems related to certain services and protocols, verify communication between peers at each layer of the OSI model, as well as prevent problems before they occur. In-depth lectures are supported by a numerous examples and practical exercises based on sample capture files with traffic patterns from real-live networks. The course assumes participants have some background in modern computer networks.

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