Safeguarding AI agents and other conversational AI applications to ensure safe, on-brand and reliable behavior is essential for enterprises. NVIDIA NeMo Guardrails offers robust protection with AI guardrails for content safety, topic control, jailbreak detection, and more to evaluate and optimize guardrail performance.
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Editor’s note: This is the next topic in our new CUDA Accelerated news series, which showcases the latest software libraries, NVIDIA NIM microservices and tools that help developers, software makers and enterprises use GPUs to accelerate their applications.
There is an activity where people provide inputs to generative AI technologies, such as large language models (LLMs), to see if the outputs can be made to deviate from acceptable standards. This use of LLMs began in 2023 and has rapidly evolved to become a common industry practice and a cornerstone of trustworthy AI.
Agentic workflows are the next evolution in AI-powered tools.
Explore the latest advancements in AI infrastructure, acceleration, and security from March 17-21.
The rapid evolution of generative AI has created countless opportunities for innovation across industry and research. As is often the case with state-of-the-art technology, this evolution has also shifted the landscape of cybersecurity threats, creating new security requirements.
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.
AI agents present a significant opportunity for businesses to scale and elevate customer service and support interactions. By automating routine inquiries and enhancing response times, these agents improve efficiency and customer satisfaction, helping organizations stay competitive.
A new NVIDIA DRIVE AI Systems Inspection Lab will help automotive ecosystem partners navigate evolving industry standards for autonomous vehicle safety.
This white paper details our commitment to securing the NVIDIA AI Enterprise software stack. It outlines the processes and measures NVIDIA takes to ensure container security.
Agentic AI workflows often involve the execution of large language model (LLM)-generated code to perform tasks like creating data visualizations. However, this code should be sanitized and executed in a safe environment to mitigate risks from prompt injection and errors in the returned code.
Content moderation has become essential in retrieval-augmented generation (RAG) applications powered by generative AI, given the extensive volume of user-generated content and external data that these systems manage.
The evolution of modern application development has led to a significant shift toward microservice-based architectures. This approach offers great flexibility and scalability, but it also introduces new complexities, particularly in the realm of security.
In the past decade, quantum computers have progressed significantly and could one day be used to undermine current cybersecurity practices. If run on a quantum computer, for example, an algorithm discovered by the theoretical computer scientist Peter Shor could crack common encryption schemes, including the Rivest-Shamir-Adleman (RSA) encryption algorithm.
Confidential and self-sovereign AI is a new approach to AI development, training, and inference where the user’s data is decentralized, private, and controlled by the users themselves. This post explores how the capabilities of Confidential Computing (CC) are expanded through decentralization using blockchain technology.
5G global connections numbered nearly 2 billion earlier this year, and are projected to reach 7.7 billion by 2028. While 5G has delivered faster speeds, higher capacity, and improved latency, particularly for video and data traffic, the initial promise of creating new revenues for network operators has remained elusive.
Every day, security operation center (SOC) analysts receive an overwhelming amount of incoming security alerts. To ensure the continued safety of their organization, they are tasked with wading through the incoming noise, triaging out false positives, and sniffing out what could be indicators of a true security breach.
The NVIDIA DOCA software platform unlocks the potential of the NVIDIA BlueField networking platform and provides all needed host drivers for NVIDIA BlueField and ConnectX devices. Optimized for peak performance, DOCA equips users to meet the demands of increasingly complex workloads.
Editor’s note: The name of NIM Agent Blueprints was changed to NVIDIA Blueprints in October 2024. All references to the name have been updated in this blog.
Addressing software security issues is becoming more challenging as the number of vulnerabilities reported in the CVE database continues to grow at an accelerated pace. Assessing a single container for vulnerabilities requires the collection, comprehension, and synthesis of hundreds of pieces of information.
Modern cyber threats have grown increasingly sophisticated, posing significant risks to federal agencies and critical infrastructure. According to Deloitte, cybersecurity is the top priority for governments and public sectors, highlighting the need to adapt to an increasingly digital world for efficiency and speed.
Join this virtual developer day to learn how AI and Machine Learning can revolutionize fraud detection and financial crime prevention.
Each August, tens of thousands of security professionals attend the cutting-edge security conferences Black Hat USA and DEF CON. This year, NVIDIA AI security experts joined these events to share our work and learn from other members of the community.
The One Billion Row Challenge is a fun benchmark to showcase basic data processing operations. It was originally launched as a pure-Java competition, and has gathered a community of developers in other languages, including Python, Rust, Go, Swift, and more.
The business transformations that generative AI brings come with risks that AI itself can help secure in a kind of flywheel of progress. Companies who were quick to embrace the open internet more than 20 years ago were among the first to reap its benefits and become proficient in modern network security.