Solutions: AI Workflows
Rapidly identify and mitigate software vulnerabilities with generative AI and RAG.
Software security vulnerabilities have hit a record high, but analyzing them is a manual, time-consuming process. To triage a container for vulnerabilities, hundreds of pieces of information must be retrieved, understood, and integrated. With generative AI and retrieval-augmented generation (RAG), enterprises can dramatically reduce the time to assess and mitigate common vulnerabilities and exposures (CVEs) from hours or days to seconds, with high accuracy.
The security vulnerability analysis AI workflow demonstrates how NVIDIA NIM™ microservices and NVIDIA Morpheus can be used to develop a solution that accelerates the analysis of CVE risk in software containers.
An LLM agent can cycle through the perceive, reason, and act loop without human assistance to complete the checklist, presenting a summary of findings to a human analyst who can then make the final decision faster.
See how generative AI and RAG can be used to reduce the time to identify and mitigate CVEs from hours or days to mere seconds.
The LLM agent matches human analysts with a high level of accuracy.
It allows analysts to investigate individual CVEs in seconds rather than hours or even days.
The LLM works through the perceive, reason, and act loop until it can provide summarized results to a human analyst.
AI workflows accelerate the path to AI outcomes. The security vulnerability analysis AI workflow provides a reference for developers to get started building their own software security AI solution.
Best-in-class AI software streamlines development and deployment of AI solutions.
Frameworks and containers are performance tuned and tested for NVIDIA GPUs.
Prepackaged, customizable reference applications come with cloud-native deployable packaging.
Business-critical AI projects stay on track with NVIDIA Enterprise Support, available globally.
NVIDIA Privacy Policy