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Home»ADOPTION NEWS»NVIDIA launches NIM agent blueprint for improved container security
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NVIDIA launches NIM agent blueprint for improved container security

By Crypto FlexsOctober 10, 20242 Mins Read
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NVIDIA launches NIM agent blueprint for improved container security
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Terrill Dickey
October 8, 2024 16:39

NVIDIA has released a new AI-based blueprint that simplifies vulnerability analysis in container security, reducing CVE assessment time from days to seconds.





In an effort to address the growing software security challenges, NVIDIA has launched its latest innovation, NIM Agent Blueprint. According to the NVIDIA Technology Blog, this development promises to streamline the process of analyzing vulnerabilities in software containers using advanced AI technologies.

Addressing a growing number of vulnerabilities

The number of vulnerabilities reported to the Common Vulnerability and Exposures (CVE) database is growing rapidly, exceeding 200,000 by the end of 2023. This surge has made traditional methods of scanning and patching software nearly unmanageable. NVIDIA’s NIM Agent Blueprint aims to alleviate this burden by leveraging generative AI to improve vulnerability detection and remediation.

AI’s role in cybersecurity

Already being adopted by enterprises for a variety of innovative applications, generative AI is poised to become an important tool in software delivery. NVIDIA’s blueprint leverages a combination of generative AI and search augmented generative (RAG) to significantly reduce the time needed to evaluate and mitigate CVEs from hours or days to just seconds. This approach not only improves efficiency but also reduces the workload on your security team.

Key features of the NIM Agent Blueprint

  • Blueprint uses NVIDIA’s Morpheus Cybersecurity AI SDK and NIM to dramatically reduce CVE analysis time.
  • Prioritize and effectively manage vulnerabilities using Large Language Model (LLM) agents to highlight urgent security risks.
  • Several LLM agents automate various aspects of vulnerability management, including verification and VEX validation triggered based on the results of upstream vulnerability scans.
  • Built on NVIDIA Morpheus, the system uses asynchronous and parallel GPU processing for fast, scalable analysis of multiple CVEs.

Industry Impact

This AI-based approach allows NVIDIA and partners to develop solutions that connect large-scale language models to data, making software development more efficient. By integrating AI into cybersecurity, organizations can better manage the increasing complexity of software vulnerabilities.

For those interested in exploring this blueprint, NVIDIA offers a free trial on its official site. As the industry continues to face increasing vulnerabilities, solutions like NIM Agent Blueprint can represent a significant step forward in maintaining strong software security.

Image source: Shutterstock


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