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Dependency scanning is the automated analysis of the third-party libraries, frameworks, and packages that developers use to build applications.

Azure Container Security Scanning finds vulnerabilities and misconfigurations in container images and workloads in Azure Container Registry and AKS.

DAST scanning is an automated security testing method that analyzes your running applications from the outside. It interacts with the application just like a real user or attacker would to find security weaknesses.

Cloud vulnerability scanning is the automated process of identifying security flaws within your cloud infrastructure, workloads, and configurations. Unlike traditional scanning designed for static, on-premises servers, cloud scanning is built to handle the dynamic nature of the cloud.

SCA scanning is the automated analysis of application codebases to identify all open-source and third-party components.

AWS container scanning is the practice of identifying security issues in your software containers before they run in production.

SOC analysts translate cloud telemetry into actionable decisions by interpreting identity activity, workload behavior, and infrastructure changes in context.

In this article, we’ll break down the ins and outs of cost management in AWS Lambda. We’ll explore the complexities hidden behind the simple pay-as-you-go model and highlight the overlooked elements that can quietly inflate your bill so that you can optimize with confidence.

API penetration testing is a security assessment method that simulates real-world attacks on an application programming interface, or API.

Misconfigurations, weak access controls, and data exposure put your Azure workloads at risk. Follow these 9 proven security best practices to stay protected.

A comprehensive checklist that hits all the key pillars and cornerstones of a strong cloud security program.

This article offers an extensive examination of Azure environments’ most pressing security risks along with suggested approaches for effectively mitigating these challenges.

Application security frameworks are essential guidelines, best practices, and tools designed to help organizations stay consistent in their security practices, meet compliance requirements, and effectively manage risks associated with application security.

Shaked Rotlevi

décembre 24, 2025

AI data security is a specialized practice at the intersection of data protection and AI security that’s aimed at safeguarding data used in AI and machine learning (ML) systems.

A denial of service (DoS) attack makes an application, service, or network resource unavailable to legitimate users by overwhelming systems with traffic, requests, or state transitions.

Ziad Ghalleb

décembre 24, 2025

In this Academy article, we'll dig into SAST and DAST security testing methods, exploring how they work and their core aspects

Les entreprises passent des défenses périmétriques à une sécurité plus proactive et centrée sur les identités. Le zero trust supprime la confiance implicite grâce à une vérification continue des utilisateurs, des appareils et des interactions.