Sonatype, the software supply chain optimisation company, announced artificial intelligence and machine learning (AI/ML) component detection, a first-of-its-kind capability, available as part of Sonatype Lifecycle.
This technology fundamentally changes the way organisations select and monitor AI/ML software components, enabling them to accelerate software development while effectively managing the risks associated with AI.
The adoption of AI, particularly generative AI, in software development is rapidly growing. According to Sonatype’s 9th annual State of the Software Supply Chain report, there was a staggering 135% increase in the usage of AI/ML Components within corporate environments compared to the previous year. By the end of January 2024, this number saw a further 20% increase in a matter of months.
Further, Gartner reported that by 2027, 70% of professional developers will use AI-powered coding tools. The widespread acceptance of AI is not only due to its expanding utility but also its transformative impact on speeding up software development.
Key functions of AI/ML Component detection:
● AI/ML Usage Monitoring and Component Categorisation: Gain visibility into AI usage and monitor its impact through comprehensive data insights and component categorisation. Simply put, answer the question of where and how AI and GenAI are being used in the development organisation.
● AI Usage Management: Set policy constraints based on AI/ML taxonomies to effectively manage and control AI usage. Apply existing Sonatype Lifecycle policies to the AI/ML components for universal consistency.
● Internal Detection of AI Models: Maintain a comprehensive catalogue and index of AI/ML models and datasets to detect open-source AI models used internally as well as modified versions of those AI models via our ground-breaking detection technology.
Sonatype’s Artificial Intelligence Component Detection is a game-changer for software development teams, providing them with the tools they need to innovate and stay ahead in the fast-paced technology landscape. With this new feature, organisations can confidently embrace AI/ML components while mitigating security, legal, and quality risks.
