Introduction to SIEM and Security Management

A comprehensive security solution for monitoring, detecting, and responding to threats in cloud environments and internal networks. It combines Artificial Intelligence (AI) and Machine Learning (ML) to analyze logged data (Logs) and identify suspicious events.

A software that creates and manages virtual machines (VMs) on a physical server, allowing for efficient resource usage, enhanced security, scalability, and reduced costs.

The process of using software to create virtual versions of hardware resources, such as servers, applications, or data centers.

A cloud deployment model where resources are available to the general public.

A cloud deployment model where resources are used only by a single organization.

A cloud deployment model where resources are shared by a specific group of organizations with shared concerns.

A combination of public and private clouds, offering flexibility and scalability.

A cloud service model where software is provided over the internet without local installation needed, such as Gmail or Google Drive.

A system that authenticates user identities and controls access levels, preventing unauthorized access.

A security mechanism for protecting cloud environments, encompassing methods, technologies, and controls to secure data, applications, and infrastructure.

The layer in cloud architecture responsible for processing user requests, including servers, databases, and storage.

The layer in cloud architecture responsible for interacting with users, including web browsers, mobile apps, and other interfaces.

The ability to quickly and efficiently increase or decrease resources in response to demand.

Collecting and analyzing data from applications and cloud environments to detect security patterns and optimize performance.

Generating accurate reports to ensure adherence to standards like GDPR or PCI DSS.

Identifying and managing vulnerabilities, and mitigating security threats in cloud environments.

The layer in cloud architecture responsible for storing data across different types of storage solutions.

The layer in cloud architecture responsible for managing and executing computing tasks, including virtual machines and containers.

The layer in cloud architecture responsible for managing and allocating resources, such as storage, computing power, and networking components.

The principle of designing cloud systems to handle increasing workloads and user demands efficiently.

The principle of ensuring cloud systems meet compliance requirements and industry standards.

The principle of optimizing cloud resource usage to minimize costs while maintaining performance.

The principle of managing user access and authentication securely to control access levels.

The principle of implementing monitoring and surveillance tools to track system performance, detect anomalies, and identify potential threats.

The ability to access computing resources from various locations using a network.

The ability to share computing resources among multiple customers to improve efficiency and reduce costs.

The ability to measure and monitor cloud resource usage to ensure accurate billing.

Reduced hardware and software costs, improved scalability and flexibility, easy access to resources, faster system deployment, and enhanced security.

Bandwidth issues, lack of direct control over infrastructure, security concerns, processing delays, and data transfer costs.

Data breaches, weak access management, misconfigurations, multi-tenancy challenges, and DDoS attacks.

Limited visibility into resources, access management problems, risks of misconfiguration, internal and external threats, and lack of service transparency.

Data exposure, unauthorized access, malware attacks, and DDoS attacks.

Data encryption, identity and access management, security event monitoring (SIEM), and cloud firewalls.

IAM (Identity and Access Management), DLP (Data Loss Prevention), SIEM (Security Information and Event Management), data encryption, and cloud firewalls.