Nvidia launched a NIM Agent Blueprint for cybersecurity as it continues to expand use cases for its microservices and AI agent platform.
At its AI Summit in Washington DC, Nvidia outlined its NIM Agent Blueprint for container security. The cybersecurity NIM Agent Blueprint combines Nvidia's Morpheus cybersecurity AI framework, Nvidia cuVS and Rapids data analytics to accelerate vulnerabilities (CVEs) at scale.
The cybersecurity blueprint is included in Nvidia AI Enterprise, the GPU giant's flagship software platform for AI applications.
Nvidia has had a steady stream of NIM Agent Blueprint news as it aims to make agentic AI more commonplace in enterprises.
- Accenture to use Nvidia stack for agentic AI
- Nvidia drops NVLM 1.0 LLM family, revving open-source AI
- Nvidia highlights algorithmic research as it moves to FP4
- Nvidia launches NIM Agent Blueprints aims for more turnkey genAI use cases
- Nvidia shows H200 systems generally available, highlights Blackwell MLPerf results
According to Nvidia, its NIM Agent Blueprint for container security enables enterprises to use generative AI to digest information and then explain vulnerabilities using natural language. Companies can then create agents for cybersecurity workflows.
Nvidia added that Deloitte is among the first to use Nvidia NIM Agent Blueprint for container security in its cybersecurity applications.
Here's a look at the architecture.
Among other notable items from Nvidia at its AI Summit.
- The company outlined healthcare systems adopting digital health agents.
- Nvidia, Yale and Moderna released a paper on quantum machine learning and drug discovery.
- Nvidia outlined how the SETI Institute was using AI to search for radio signals in space.
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