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.

AI Threat Detection Explained

AI threat detection uses advanced analytics and AI methodologies such as deep learning (DL) and natural language processing (NLP) to assess system behavior, identify abnormalities and potential attack paths, and prioritize threats in real time.

What is AI Red Teaming?

Wiz Experts Team

Traditional security testing isn’t enough to deal with AI's expanded and complex attack surface. That’s why AI red teaming—a practice that actively simulates adversarial attacks in real-world conditions—is emerging as a critical component in modern AI security strategies and a key contributor to the AI cybersecurity market growth.

CNAPP vs. CDR: What's the Difference?

Wiz Experts Team

While CDR and CNAPP are often discussed as separate approaches, CDR capabilities should be viewed as essential components within a comprehensive CNAPP strategy, not as competing alternatives.

Data Categorization: Types, strategies, and steps

Wiz Experts Team

In this article, we'll explore the different types of data categorization, strategies for effective management, and how to avoid common pitfalls that can complicate cloud data governance.

The Impact of AI in Software Development

Wiz Experts Team

AI-assisted software development integrates machine learning and AI-powered tools into your coding workflow to help you build, test, and deploy software without wasting resources.

The role of Kubernetes in AI/ML development

In this blog post, you’ll discover how Kubernetes plays a crucial role in AI/ML development. We’ll explore containerization’s benefits, practical use cases, and day-to-day challenges, as well as how Kubernetes security can protect your data and models while mitigating potential risks.

Static Code Analysis

Static code analysis identifies security vulnerabilities and coding issues without executing the code, improving software quality and security.