After years in the technical writing trenches at industry giants like Cisco, Riverbed, and Akamai, I now lead the Sysdig Documentation team. I’m Shuba Subramaniam, and I’m passionate about creating content that truly helps people — whether they’re exploring Sysdig for the first time or troubleshooting a tricky issue at 2 a.m.

On Tuesday, January 14, 2025, a set of vulnerabilities were announced that affect the “rsync” utility. Rsync allows files and directories to be flexibly transferred locally and remotely. It is often used for deployments and backup purposes. In total, 6 vulnerabilities were announced to the OSS Security mailing list. The most severe vulnerability, CVE-2024-12084, may result in remote code execution. This post will cover how to detect and mitigate CVE-2024-12084.

Many are familiar with how GitLab leverages Falco in its Package Hunter project to detect threats through system call monitoring. However, fewer may be aware of a powerful GitLab plugin for Falco that ingests audit events directly from GitLab, transforming them into actionable fields within Falco. By integrating GitLab audit event fields, you can create Falco rules to detect potential threats in real time and send alerts through your configured notification channels.

As the adoption of cloud-native technologies like containers, Kubernetes, and microservices have evolved, traditional security solutions have struggled to keep up. According to the Sysdig Threat Research Team (TRT), the average time it takes an attacker to perform reconnaissance and complete an attack is just 10 minutes. To help teams outpace attackers, cloud-native application protection platforms have emerged.

The term LLMjacking refers to attackers using stolen cloud credentials to gain unauthorized access to cloud-based large language models (LLMs), such as OpenAI’s GPT or Anthropic Claude. This blog shows how to strengthen LLMs with Sysdig. The attack works by criminals exploiting stolen credentials or cloud misconfigurations to gain access to expensive artificial intelligence (AI) models in the cloud. Once they gain access, they can run costly AI models at the victim’s expense.

We’re officially in the final days of 2024, a year so eventful it feels difficult to remember half of what happened. We had the Olympics in Paris, which turned the world into fans of sharpshooting, breakdancing, and the pommel horse; a solar eclipse visible in totality from the US for the first time since 1979; and a monthslong, very impassioned rap battle between Kendrick Lamar and Drake.

Securing operations in the cloud can seem daunting. To protect your organization, you need to have the proper preventative and reactive safeguards in place at every step of the software development cycle. But it doesn’t have to be as complex as it sounds. This blog outlines how to secure the entire software development lifecycle, emphasizing the “shift left” approach, which aims to catch vulnerabilities and issues early in the development process to reduce both risks and costs.