Sonatype introduces AI/ML component detection

Sonatype introduces AI/ML

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Sonatype has announced a new capability called artificial intelligence and machine learning (AI/ML) component detection, now included in Sonatype Lifecycle.

The company’s new feature transforms how organisations assess and oversee AI/ML software components, facilitating faster software development while effectively managing associated risks.

Sonatype’s innovation

The use of AI, particularly generative AI, in software development is on the rise.

According to Sonatype’s 9th annual State of the Software Supply Chain report, there has been a significant 135% increase in the utilisation of AI/ML Components within corporate environments compared to the previous year.

By January 2024, this figure had risen by an additional 20% in just a few months.

Additionally, Gartner forecasts that by 2027, 70% of professional developers will leverage AI-powered coding tools.

The growing adoption of AI is driven by its expanding utility and its ability to accelerate software development processes.

Mitchell Johnson, Chief Product Development Officer, Sonatype explained: “Organisations must be prepared for the wave of behavioural AI and generative AI that is already radically shaping the future of software development, much like open source did when Maven Central first launched in 2003.

“This is an exciting time for software development productivity and innovation; the data shows that enterprises adopting AI in new product innovation and software supply chains are disrupting competitors and moving faster than ever before.

“At the same time, AI/ML introduces a whole new set of risks so it is crucial to have the data, precise identification, legal compliance and policy enforcement in place to understand where and how these new capabilities are being used – without slowing anyone down.”

Key functions:

  1. AI/ML usage monitoring and component categorisation: Gain insights into AI usage and categorise components for enhanced visibility
  2. AI usage management: Set policy constraints based on AI/ML taxonomies to manage and control usage effectively
  3. Internal detection of AI models: Detect open source AI models and modified versions for comprehensive cataloguing

Sonatype’s AI Component Detection provides software development teams with the tools to navigate and succeed in today’s dynamic technology landscape.

The software enables confident adoption of AI/ML components while addressing security, legal and quality risks effectively.

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