CloudSec Academy

Welcome to CloudSec Academy, your guide to navigating the alphabet soup of cloud security acronyms and industry jargon. Cut through the noise with clear, concise, and expertly crafted content covering fundamentals to best practices.

DevSecOps vs DevOps: Key differences & Comparison

Wiz Experts Team

DevOps is a way of working that breaks down walls between development and operations teams. This means developers and IT operations work together instead of in separate silos, which helps companies build and release software faster.

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What is the threat intelligence lifecycle?

Wiz Experts Team

The threat intelligence lifecycle is a continuous, six-phase process that transforms raw data about potential cyber threats into refined, actionable intelligence

Threat hunting vs threat intelligence: Key differences

Wiz Experts Team

Threat hunting actively searches for hidden threats already inside your network, while threat intelligence gathers external information about potential threats to inform security strategy.

Generative AI Security: Risks & Best Practices

Wiz Experts Team

Generative AI (GenAI) security is an area of enterprise cybersecurity that zeroes in on the risks and threats posed by GenAI applications. To reduce your GenAI attack surface, you need a mix of technical controls, policies, teams, and AI security tools.

Top 9 Open-Source SAST Tools

Wiz Experts Team

In this article, we’ll take a closer look at how you can leverage SAST for code security. We’ll also explore key features of open-source SAST tools, such as language support, integration capabilities, and reporting functionalities.

LLM Security for Enterprises: Risks and Best Practices

Wiz Experts Team

LLM models, like GPT and other foundation models, come with significant risks if not properly secured. From prompt injection attacks to training data poisoning, the potential vulnerabilities are manifold and far-reaching.

Kubernetes Nodes vs Pods: Key Differences Explained

Wiz Experts Team

Nodes are the physical or virtual machines that provide computing resources in a Kubernetes cluster, while pods are the smallest deployable units that contain one or more containers