Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Latin “vera” indicates truth or reality. When Veracode was founded, this was the essence of our focus – finding truth in code. And specifically, binaries; hence the original brand rooted with the “01”. Seventeen years later, we remain committed to our vision – a World where software is developed secure from the start – but to do so today, we are expanding our view, solidifying our point of view, and modernizing how you see us.

As large language models (LLMs) continue to push the boundaries of natural language processing, their widespread adoption across industries has highlighted the critical need for robust LLM security solutions. These powerful AI systems, while immensely beneficial, are vulnerable to emerging threats such as data leakage, prompt injection attacks, and compliance risks. In 2025, the landscape of LLM security tools has evolved to address these unique challenges, ensuring their safe and responsible deployment.

Secondary education has always been a luxury, but only recently has it become expensive enough to require loans. Thankfully, students looking to avoid indebtedness have some options available—the best of which are scholarships. Over 1.7 million scholarships are awarded yearly, granting billions of dollars in funding to in-need students and families.

A lot has happened since the emergence of social networking began in the early 2000s. Since then, many people have relied on social media platforms to stay connected with friends, family, community, and more. With this popularity, cyber criminals also took advantage of this trend.

In today’s landscape of microservices, Kubernetes, and cloud environments, attacks can come from multiple vectors, with varying degrees of complexity. Understanding these vectors and how to detect them is crucial for securing your infrastructure and applications. This post will explore various attack scenarios including SQL Injection and Cluster Takeover, structured around the 4 Cs of cloud security: Cloud, Cluster (Kubernetes), Container (workload), and Code (application).

A regular expression (regex) is a sequence of characters that defines a pattern or template, such as the format of email addresses or Social Security numbers. Regular expressions are useful for pattern matching and text manipulation. For example, regex can help you quickly find all failed login attempts in a server log so you don’t have to manually read through thousands of lines.

Windows Server 2025, the latest iteration of Microsoft's flagship server operating system, introducing new features, enhanced performance, and improved security capabilities. However, with these updates come new potential vulnerabilities, bringing with it the need for robust security configurations to protect against evolving threats. This is where benchmarks and hardening practices come into play.

Large language models (LLMs) have transformed various industries by enabling advanced natural language processing, understanding, and generation capabilities. From virtual assistants and chatbots to automated content creation and translation services, securing LLM applications is now integral to business operations and customer interactions. However, as adoption grows, so do security risks, necessitating robust LLM application security strategies to safeguard these powerful AI systems.