Essential AI Security Best Practices
To manage risks associated with AI, organizations need a strategic and well-coordinated security approach that extends traditional cybersecurity measures to the unique needs of AI.
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.
See how Wiz turns cloud security fundamentals into real-world results.
To manage risks associated with AI, organizations need a strategic and well-coordinated security approach that extends traditional cybersecurity measures to the unique needs of AI.
An AI Application Protection Platform (AI APP) is a purpose-built security solution that integrates visibility, risk assessment, and active defense across the AI lifecycle.
Learn how to implement zero trust security with clear pillars, a practical roadmap, and tactics that solve challenges and cut risk across cloud environments.
Vulnerability prioritization helps you manage your cloud risk efficiently. Discover how to pinpoint threats with context, automation, and real-time insights.
Watch how Wiz turns instant visibility into rapid remediation.
Learn essential code security best practices and implement actionable tips to reduce risks and enhance protection throughout your cloud development lifecycle.
Learn how to meet NIST compliance with Wiz’s checklist for 2025. Plus, discover best practices and solutions to strengthen your cloud security compliance.
Explore how IaC security protects cloud environments by embedding protection into code templates to catch vulnerabilities early.
Learn how policy as code helps teams enforce security, reduce misconfigurations, and improve cloud governance with automated rules across environments.
Misconfigurations, weak access controls, and data exposure put your Azure workloads at risk. Follow these 9 proven security best practices to stay protected.
Learn what software composition analysis (SCA) is, how SCA tools work, and how CloudSec and AppSec teams use SCA to manage open-source and supply chain risk.
In this post, we’ll look at some of the differences between MDR and traditional managed services, how MDR functions within organizations, some of the tools it works with for even more effective threat detection and response, and the most important tip for getting the most out of your MDR solution.
Explore the top Azure security tools by category, from compliance and threat detection to network protection, so you can achieve strong cloud security.
Learn how a Software Bill of Materials (SBOM) strengthens security by tracking components, identifying vulnerabilities, and ensuring compliance.
AI coding assistants accelerate development but create new security bottlenecks. Discover the risks of AI-generated code and how to scan for vulnerabilities.
API security encompasses the strategies, procedures, and solutions employed to defend APIs against threats, vulnerabilities, and unauthorized intrusion.
AI apps break traditional security rules. Learn how to protect models, agents, and data from prompt injection, shadow AI, and supply chain vulnerabilities.
AI agent development is the process of designing, building, and deploying software systems that use LLMs to autonomously reason, plan, and take actions. Unlike traditional chatbots or simple automation, agents make decisions, call tools, and interact with external systems on their own, which makes their development fundamentally different from conventional software engineering.
AI agent orchestration coordinates multiple specialized AI agents to accomplish complex tasks that no single agent can handle alone, using a central orchestrator to manage task delegation, data flow, and execution order across agents, tools, and cloud services.
Container security scanning detects vulnerabilities early for an efficient DevSecOps process. Discover how it safeguards containers throughout the lifecycle.