Top Google Cloud Security Tools [By Use Case]
10 native tools for IAM, data protection, network security, threat detection, and compliance management.
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.
10 native tools for IAM, data protection, network security, threat detection, and compliance management.
This guide is about smart cloud cost optimization, eliminating cloud waste and ensuring every dollar spent on storage delivers real value. Let's dig into the actionable strategies to get your EBS spend under control for good.
This guide is your field manual for taming costs. We'll break down what makes up your bill, decode pricing models, and pinpoint the common gotchas that drain your budget, giving you practical advice to navigate the maze.
Ready to learn everything necessary to transform AWS cost management from a headache into a real business advantage? You’ll find everything you need in this guide.
An incident response playbook is a document outlining clear steps for security teams to follow when responding to and resolving security incidents such as malware infections, unauthorized access, denial-of-service attacks, data breaches, or insider threats.
We’ll take a deep dive into the MLSecOps tools landscape by reviewing the five foundational areas of MLSecOps, exploring the growing importance of MLSecOps for organizations, and introducing six interesting open-source tools to check out
An API catalog is the best way to protect your organization from API risks: It surfaces hidden routes, weak auth, and sensitive data, anchoring effective security.
MCP acts as a universal security control plane that standardizes policy enforcement across enterprise AI workflows.
The difference between market leaders and niche solutions? Comprehensive coverage without operational compromises. This post provides a practical blueprint for judging those claims and selecting technology that truly fits your organization.
Take a closer look at cost management and cost optimization, along with a breakdown of the core components of Microsoft Cost Management, how to use its tools, and how to integrate it into engineering workflows.
Learn the pillars of SAST scanning. Find out how to improve scanning and what platforms you can use to improve code and cloud security with best practices.
Cloud cost management, also known as cloud spend management, is the process of monitoring, controlling, and optimizing cloud spend across an organization’s cloud environments.
This article explores why traditional cloud cost approaches miss the mark, compares platform philosophies, and spotlights emerging solutions that enhance development velocity. Let’s get started.
Learn what code security is and the challenges of ensuring it in 2025 and beyond. More importantly, discover techniques and best practices to secure your code.
This blog post covers the ins and outs of cloud cost optimization in Kubernetes. We'll cover advanced principles, practical strategies, and some emerging, hard-to-find techniques.
In this guide, we’ll compare the key cost drivers across AWS and Azure—and then go beyond pricing sheets to explore the factors that determine your actual bill.
An AI bill of materials (AI-BOM) is a complete inventory of all the assets in your organization’s AI ecosystem. It documents datasets, models, software, hardware, and dependencies across the entire lifecycle of AI systems—from initial development to deployment and monitoring.
API governance refers to the policies, standards, and processes that guide how APIs are built, managed, and secured.
In this article, we’ll break down what capabilities a strong API security tool needs to have and look at different categories of API security solutions, plus examples.
REST API security is the combination of technologies and practices used to safeguard RESTful endpoints from attacks, such as unauthorized access, exploitation, and abuse.
AI security involves using AI tools for cybersecurity and protecting your AI systems themselves. Learn how to do both to mitigate evolving AI security risks.
This checklist is a comprehensive guide to becoming NIST-compliant and reinforcing the most critical security pillars.
Container security scanning detects vulnerabilities early for an efficient DevSecOps process. Discover how it safeguards containers throughout the lifecycle.
Artificial intelligence (AI) compliance describes the adherence to legal, ethical, and operational standards in AI system design and deployment.