Developers simply want to write code without interruption, while operations wish to build as fast as possible and deploy without restrictions. On the other hand, security professionals want to protect every step of the software supply chain from any potential security threats and vulnerabilities. In software development, every piece of code can potentially introduce vulnerabilities …
An organization’s software supply chain includes all the elements involved in developing and distributing software, such as components, tools, processes, and dependencies. Each link in this important chain presents the potential for security threats. Recent research conducted by Gartner shows a major increase in attacks targeting code, tools, open-source components, and development processes, particularly in …
The impact of the 2024 RSA Conference on security in San Francisco was beyond expectations. It was really a fantastic opportunity to meet an amazing group of individuals from all stages of the software supply chain from CISOs to researchers to development and security teams. Our discussions reflected the key challenges facing software security professionals …
It’s a wrap! RSA 2024 brought together cybersecurity experts, industry leaders, and innovators to delve into critical topics defining the future of digital security. One of the key themes that garnered significant attention at RSA 2024 was software supply chain security. The Growing Importance of Software Supply Chain Security With 61% of U.S. businesses directly …
Removing friction between DevOps and Security teams can only lead to good things. By pulling in the same direction, DevOps can make sure developers continue to work with minimum interruption, while automation and background processes make security more effective and consistent than before. And, security teams have the visibility and understanding of the software development …
Despite organizations’ best efforts, security threats are on the rise, with malicious actors continuously evolving their tactics. Unfortunately, the situation is only intensifying as hackers from all walks of life leverage artificial intelligence (AI) and machine learning (ML) techniques. To combat these threats, security teams need to implement gates and controls throughout their entire software …
Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in …
Note: This post is co-authored by JFrog and Sean Wright and has also been published on Sean Wright’s blog. DevOps engineers and Security professionals are passionate about their responsibilities, with the first mostly dedicated to ensuring the fast release and the latter responsible for the security of their company’s software applications. They have many common …
Trust is vital to success in our industry. Whether you’re creating and managing software for use internally, by other businesses, or direct-to-consumer, you need to be able to create trust with your end users. This can be accomplished, in part, by showing evidence of security measures, bringing the right people and tactics to the table, …
Modern AI applications are having a dramatic impact on our industry, but there are still certain hurdles when it comes to bringing ML models to production. The process of building ML models is so complex and time-intensive that many data scientists still struggle to turn concepts into production-ready models. Bridging the gap between MLOps and …
