AI agents are poised to transform productivity for the world's billion knowledge workers with knowledge robots that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance.
New NVIDIA NIM microservices for AI guardrails - part of the NVIDIA NeMo Guardrails collection of software tools - are portable, optimized inference microservices that help companies improve the safety, precision and scalability of their generative AI applications.
Central to the orchestration of the microservices is NeMo Guardrails, part of the NVIDIA NeMo platform for curating, customizing and guardrailing AI. NeMo Guardrails helps developers integrate and manage AI guardrails in large language model (LLM) applications. Industry leaders Amdocs, Cerence AI and Lowe's are among those using NeMo Guardrails to safeguard AI applications.
Developers can use the NIM microservices to build more secure, trustworthy AI agents that provide safe, appropriate responses within context-specific guidelines and are bolstered against jailbreak attempts. Deployed in customer service across industries like automotive, finance, healthcare, manufacturing and retail, the agents can boost customer satisfaction and trust.
One of the new microservices, built for moderating content safety, was trained using the Aegis Content Safety Dataset - one of the highest-quality, human-annotated data sources in its category. Curated and owned by NVIDIA, the dataset is publicly available on Hugging Face and includes over 35,000 human-annotated data samples flagged for AI safety and jailbreak attempts to bypass system restrictions.
NVIDIA NeMo Guardrails Keeps AI Agents on Track
AI is rapidly boosting productivity for a broad range of business processes. In customer service, it's helping resolve customer issues up to 40% faster. However, scaling AI for customer service and other AI agents requires secure models that prevent harmful or inappropriate outputs and ensure the AI application behaves within defined parameters.
NVIDIA has introduced three new NIM microservices for NeMo Guardrails that help AI agents operate at scale while maintaining controlled behavior:
Content safety NIM microservice that safeguards AI against generating biased or harmful outputs, ensuring responses align with ethical standards.
Topic control NIM microservice that keeps conversations focused on approved topics, avoiding digression or inappropriate content.
Jailbreak detection NIM microservice that adds protection against jailbreak attempts, helping maintain AI integrity in adversarial scenarios.
By applying multiple lightweight, specialized models as guardrails, developers can cover gaps that may occur when only more general global policies and protections exist - as a one-size-fits-all approach doesn't properly secure and control complex agentic AI workflows.
Small language models, like those in the NeMo Guardrails collection, offer lower latency and are designed to run efficiently, even in resource-constrained or distributed environments. This makes them ideal for scaling AI applications in industries such as healthcare, automotive and manufacturing, in locations like hospitals or warehouses.
Industry Leaders and Partners Safeguard AI With NeMo Guardrails
NeMo Guardrails, available to the open-source community, helps developers orchestrate multiple AI software policies - called rails - to enhance LLM application security and control. It works with NVIDIA NIM microservices to offer a robust framework for building AI systems that can be deployed at scale without compromising on safety or performance.
Amdocs, a leading global provider of software and services to communications and media companies, is harnessing NeMo Guardrails to enhance AI-driven customer interactions by delivering safer, more accurate and contextually appropriate responses.
Technologies like NeMo Guardrails are essential for safeguarding generative AI applications, helping make sure they operate securely and ethically, said Anthony Goonetilleke, group president of technology and head of strategy at Amdocs. By integrating NVIDIA NeMo Guardrails into our amAIz platform, we are enhancing the platform's Trusted AI' capabilities to deliver agentic experiences that are safe, reliable and scalable. This empowers service providers to deploy AI solutions safely and with confidence, setting new standards for AI innovation and operational excellence.
Cerence AI, a company specializing in AI solutions for the automotive industry, is using NVIDIA NeMo Guardrails to help ensure its in-car assistants deliver contextually appropriate, safe interactions powered by its CaLLM family of large and small language models.
Cerence AI relies on high-performing, secure solutions from NVIDIA to power our in-car assistant technologies, said Nils Schanz, executive vice president of product and technology at Cerence AI. Using NeMo Guardrails helps us deliver trusted, context-aware solutions to our automaker customers and provide sensible, mindful and hallucination-free responses. In addition, NeMo Guardrails is customizable for our automaker customers and helps us filter harmful or unpleasant requests, securing our CaLLM family of language models from unintended or inappropriate content delivery to end users.
Lowe's, a leading home improvement retailer, is leveraging generative AI to build on the deep expertise of its store associates. By providing enhanced access to comprehensive product knowledge, these tools empower associates to answer customer questions, helping them find the right products to complete their projects and setting a new standard for retail innovation and customer satisfaction.
We're always looking for ways to help associates go above and beyond for our customers, said
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AI agents are poised to transform productivity for the world's billion knowledge workers with knowledge robots that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance.
