New Training: Planning for and Securing Cloud Infrastructure-as-a-Service

In this 9-video skill, CBT Nuggets trainer Bart Castle discusses protective, detective, and reactive controls for cloud infrastructure-as-a-service models. Gain an understanding of how traditional network and data center security can be extended to include cloud-hosted resources. Learn about common vendor-provided controls, infrastructure-as-code, Cisco Stealthwatch, and Zero Trust security. Watch this new Cisco training.

Watch the full course: Implementing and Operating Cisco Security Core Technologies

This training includes:

• 9 videos

• 1.4 hours of training

You’ll learn these topics in this skill:

• Planning for Cloud Infrastructure Security

• Assessing Cloud Service Providers

• Isolating and Segmenting Cloud Networks

• Leveraging Virtual Appliances

• Hardening, Protecting, and Maintaining Cloud VMs

• Planning for Infrastructure-as-Code

• Monitor and Analyze with Stealthwatch

• Understand the Tenets of Zero Trust Security

• Zero Trust Token Auth Demo

CSNA: An AI Driven Approach For Cyber Security

Safeguarding cloud infrastructures can be difficult, especially when you consider the constantly emerging cyber threats for businesses today. There are many monitoring tools to help IT professionals keep their cloud resources safe, and one of those tools is Cisco Secure Network Analytics (formerly known as Stealthwatch).

Cisco Secure Network Analytics (CSNA) is an AI-powered telemetry service. It continually takes data points from every part of the network and applies advanced security analytics to them. After creating a baseline of what is considered normal network activity for network hosts, CSNA uses machine learning technologies to identify abnormal behavior. By doing this, it can identify a wide range of attacks from advance persistent threats, denial of service attacks, and insider threats. One of the core problems CSNA solves, when compared to other monitoring tools, is its ability to analyze encrypted traffic through those machine learning algorithms.

By continuously monitoring both on-prem and cloud components of the IT environment, CSNA can offer early warning signals to network administrators with issues regarding their networks. The earlier businesses can identify possible issues, the more damage they can prevent.