Sweet Security offers a comprehensive solution for cloud defense, leveraging AI to identify and prioritize vulnerabilities. It provides real-time visibility and rapid response to threats, helping organizations secure their environments without frequent scans. The platform also simplifies compliance and governance processes.

This article offers a checklist to help platform engineers and SREs secure cloud and container workloads. It emphasizes the need for updated strategies in light of expanding attack surfaces and the integration of AI. The checklist covers asset inventory, vulnerability assessment, and compliance monitoring.

This article discusses two critical vulnerabilities found in Chainlit, an open-source framework for chatbots. These flaws could allow attackers to access sensitive files and take over cloud accounts, highlighting the distinct security risks of interconnected AI systems.

Manus Sandbox is a cloud-based virtual machine that runs isolated tasks for AI models. It securely stores files and executes operations without affecting local resources. Users can manage their tasks and collaborate while maintaining control over sensitive data.

HashiCorp reflects on 2025, highlighting the challenges of cloud complexity faced by organizations across various sectors. Key themes include the need for unified automation, addressing identity sprawl, and leveraging AI to enhance infrastructure management and security.

Red Hat has released OpenShift 4.20, enhancing security and virtualization for hybrid cloud environments. The update focuses on supporting AI workloads, improving platform security, and providing tools for better identity management and cost efficiency. New features aim to streamline the deployment of applications and AI projects.

Amazon Q now features AI-powered self-destruct capabilities, allowing users to enhance security by automatically deleting sensitive data after a specified time. This innovation aims to streamline data management while ensuring compliance with privacy regulations. The integration of helpful AI tools further positions Amazon Q as a leader in cloud solutions.

Woodpecker is a modular red teaming tool designed for identifying security vulnerabilities in AI and cloud applications through experimentation. It features a command-line interface that allows users to run and verify experiments, as well as manage components that enhance experiment functionality. Users can customize experiments using specific YAML files and can install or uninstall additional components as needed.