Nvidia has launched a new container security application, aiming to use the power of AI to improve network security protection capabilities. The application, called NIM Agent Blueprint, allows developers to customize deployment to meet their unique AI-driven network security needs. Deloitte, a world-renowned consulting firm, has become one of the first early adopters, marking the potential of the application in the enterprise market. The editor of Downcodes will explain the advantages and features of this application in detail.
Nvidia recently released a new container security app that allows developers to customize to meet their needs for AI-driven cybersecurity. Global consulting firm Deloitte has been announced as one of the first users.
Nvidia’s NIM Agent Blueprint includes everything enterprise developers need to build and deploy custom generated AI applications that can quickly perform vulnerability analysis on software containers. The application can reduce enterprise-scale common vulnerability and exposure (CVE) analysis from days to seconds by using applications such as Nvidia's NIM microservices, Morpheus cybersecurity AI framework, cuVS and RAPIDS to accelerate data analysis.
Software containers contain a large number of packages and versions, some of which may contain security vulnerabilities. Traditionally, security analysts have been required to review these packages to understand potential security vulnerabilities in any software deployment. These manual processes are tedious, time-consuming, error-prone, and difficult to automate effectively due to the complexity of packages, dependencies, configurations, and operating system environments.
NIM Agent Blueprint’s GPU-accelerated end-to-end AI framework enables developers to create optimized applications for filtering, processing and classifying large amounts of streaming cybersecurity data. The app also automates real-time analysis and response, producing synthetic data to train AI models that can accurately identify risks and run what-if scenarios.
As a result, NIM Agent Blueprint helps enterprises enhance and simplify cybersecurity by increasing efficiency and reducing the time required to identify threats and potentially hostile activity.
Vulnerability detection and remediation are the top use cases for generated AI in software delivery, as AI-enhanced cybersecurity can detect and respond to potential threats in real time—often before human analysts are aware of them. With generative AI, cybersecurity applications can quickly digest and interpret information from massive data sources, including natural language, to better understand the context in which potential vulnerabilities might be exploited.
For example, Nvidia says it can analyze large amounts of data to identify patterns and anomalies that could indicate a breach, as well as automate routine security tasks, freeing up human experts to focus on more complex challenges.
Deloitte is one of the first customers to use the new container security application, using it in its network security solution to support agent analysis of open source software to help enterprises build secure AI.
Mike Morris of Deloitte said: “Cybersecurity has become a critical pillar in protecting digital infrastructure in the United States and around the world. By integrating Nvidia’s NIM Agent Blueprint into our cybersecurity solutions, we are able to provide clients with the tools to identify and mitigate potential security threats. Improved speed and accuracy in threats.”
NIM Agent Blueprint is included in Nvidia's AI Enterprise cloud-native software platform for developing and deploying AI applications.
Highlight:
Nvidia releases new container security application, and Deloitte becomes the first user.
The application uses AI to accelerate analysis, shortening vulnerability detection time from days to seconds.
️ NIM Agent Blueprint is integrated into the Nvidia AI Enterprise platform.
All in all, Nvidia’s NIM Agent Blueprint provides a strong guarantee for enterprise network security with its AI-driven analysis capabilities and efficient vulnerability detection speed. The launch of this application will undoubtedly promote the application development of AI in the field of network security and contribute to building a safer digital world. The editor of Downcodes hopes that more companies can benefit from this technology.