Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In today’s dynamic digital landscape, applications are the backbone of modern businesses. They drive operations, facilitate customer interactions, and manage critical data. However, the intricate web of rules and processes that govern these applications – the business logic – often presents a significant, yet frequently overlooked, attack surface.

For the past six years, I’ve had the unique privilege of contributing to and witnessing the evolution of Sysdig Agent. As a Technical Writer, I create educational content that helps Sysdig customers get the most value out of it. The Sysdig Agent, which began as a simple sniffer probing system calls, has transformed into a powerful defender of cyber threats and vulnerabilities, safeguarding workloads across regions—and even underwater in submarines! How cool is that?

Due to recent events happening worldwide, the US specifically, many people are looking for European tech companies to move away from big tech and switch to more private, secure solutions that value our data rather than profit from it. Moving away from any service can be challenging, and with companies like Google monopolizing the tech world, finding alternatives can seem almost impossible.

The Network and Information Security 2 (NIS 2) directive is a successor to the original NIS directive. Its purpose is to strengthen the cybersecurity posture of the businesses and organizations it covers across different sectors. ‍ NIS 2 expands on the original directive with notable changes and updates aimed at consolidating and strengthening cybersecurity practices in EU Member States.

The proliferation of AI has rapidly introduced many new software technologies, each with its own potential misconfigurations that can compromise information security. Thus the mission of UpGuard Research: discover the vectors particular to a new technology and measure its cyber risk. This investigation looks at llama.cpp, an open-source framework for using large language models (LLMs).