Learn how AI is transforming financial services across use cases such as fraud detection, risk prediction models, contact centers, and more.
Published work
AI security contributions
Rapid digital transformation has led to an explosion of sensitive data being generated across the enterprise. That data has to be stored and processed in data centers on-premises, in the cloud, or at the edge.
Wireless technology has evolved rapidly and the 5G deployments have made good progress around the world. Up until recently, wireless RAN was deployed using closed-box appliance solutions by traditional RAN vendors.
Join NVIDIA on Tuesday, June 6, 2023 at 9AM PT, for a webinar on cybersecurity and AI in retail. We discuss how AI can bring a new level of information security to the data center, cloud, and edge.
Deep packet inspection (DPI) is a critical technology for network security that enables the inspection and analysis of data packets as they travel across a network. By examining the content of these packets, DPI can identify potential security threats such as malware, viruses, and malicious traffic, and prevent them from infiltrating the network.
Develop safe and trustworthy LLM conversational applications with NVIDIA NeMo Guardrails, an open-source toolkit that enables programmable guardrails for defining desired user interactions.
CUDA, OpenCL, and OpenACC are the primary means of writing general-purpose software for NVIDIA GPUs, all of which are subject to the same well-documented memory safety vulnerabilities currently plaguing software written in C and C++.
Newly released open-source software can help developers guide generative AI applications to create impressive text responses that stay on track. NeMo Guardrails will help ensure smart applications powered by large language models (LLMs) are accurate, appropriate, on topic and secure.
NVIDIA BlueField-3 DPUs are now in full production, and have been selected by Oracle Cloud Infrastructure (OCI) to achieve higher performance, better efficiency, and stronger security.
The NVIDIA Morpheus cybersecurity framework helps defend against spear phishing using generative AI.
If you asked a group of cybersecurity professionals how they got into the field, you might be surprised by the answers that you receive. With military officers, program managers, technical writers, and IT practitioners, their backgrounds are varied.
The NVIDIA Security Team worked with an open source developer within the information security field to help bolster the defensive capabilities of the broader community.
Confidential computing is a way of processing data in a protected zone of a computer’s processor, often inside a remote edge or public cloud server, and proving that no one viewed or altered the work.
Learn how AI is improving your cybersecurity to detect threats faster.
Cloud and edge networks are setting up a new line of defense, called confidential computing, to protect the growing wealth of data users process in those environments.
The NVIDIA AI Red Team has developed a JupyterLab extension called jupysec to automatically assess the security of Jupyter environments.
Check out this NVIDIA GTC 2023 playlist to see all the sessions on accelerated networking, sustainable data centers, ethernet for HPC, and more. Register now to attend.
Learn how to use an NVIDIA AI workflow to uniquely fingerprint users and machines across your network in a new, free NVIDIA LaunchPad hands-on lab.
Learn how to secure Jenkins instances with the GroovyWaiter Python script.
Add AI to the list of defenses against identity attacks, one of the most common and hardest breach to prevent. More than 40% of all data compromises involved stolen credentials, according to the 2022 Verizon Data Breach Investigations Report.
As organizations rely on complex network systems to support their operations, the need for well-trained network administrators is becoming increasingly important. Data center infrastructure is interconnected in ways that are not always obvious, and the points of intersection between systems are often difficult to design on paper alone.
The latest NVIDIA Cybersecurity Hackathon brought together 10 teams to create exciting cybersecurity innovations using the NVIDIA Morpheus cybersecurity AI framework, NVIDIA BlueField data processing unit (DPU), and NVIDIA DOCA. The event featured seven onsite Israeli teams and three remote teams from India and the UK.
NVIDIA recently helped run an innovative competition at DEF CON 30, providing an opportunity for security and data professions to improve their machine learning security skills.
Learn how to decrease model training time by distributing data to multiple GPUs, while retaining the accuracy of training on a single GPU in this new instructor-led workshop.
Find out how federal agencies are adopting AI to improve cybersecurity in this November 16 webinar featuring Booz Allen Hamilton.