NVIDIA has introduced a new tool to enhance AI-powered cybersecurity efforts, with Deloitte among the first to adopt the technology for enterprise-level solutions. NVIDIA NIM Agent Blueprint for container security, a framework designed to accelerate vulnerability analysis in software containers from days to seconds. This development comes as artificial intelligence transforms the cybersecurity landscape, offering real-time threat detection and automated security task management.
Justin Boitano announced the release on NVIDIA's blog, highlighting the blueprint's integration with NVIDIA's suite of AI tools and frameworks. The system utilises NVIDIA NIM microservices, the Morpheus cybersecurity AI framework, cuVS, and RAPIDS accelerated data analytics to enhance security measures for businesses building AI applications.
Deloitte, an early adopter of the technology, is incorporating the NIM Agent Blueprint into its cybersecurity solutions. Mike Morris, managing director at Deloitte & Touche LLP, emphasised the critical nature of cybersecurity in protecting digital infrastructure. "By incorporating NVIDIA's NIM Agent Blueprint into our cybersecurity solutions, we're able to offer our clients improved speed and accuracy in identifying and mitigating potential security threats."
The blueprint addresses vulnerability detection and resolution, which IDC notes is a use case for generative AI in software delivery. It aims to streamline the complex process of aligning software packages, dependencies, configurations, and operating environments—tasks that have traditionally been time-consuming and error-prone when performed manually.
NVIDIA's new offering is part of its AI Enterprise software platform, which provides tools for developing and deploying secure, production-ready AI applications. The blueprint leverages large language models and retrieval-augmented generation to enable quick, automatic, and actionable analysis of common vulnerabilities and exposures (CVEs).