Leading security experts, executives and technologists from across the globe will converge this week to discuss the latest innovations in cybersecurity and generative AI at the Black Hat and DEF CON conferences, both taking place in Las Vegas. Attendees of Black Hat, running through Thursday, Aug.
Published work
AI security contributions
As AI models grow in capability and cost of creation, and hold more sensitive or proprietary data, securing them at rest is increasingly important. Organizations are designing policies and tools, often as part of data loss prevention and secure supply chain programs, to protect model weights.
General-purpose large language models (LLMs) have proven their usefulness across various fields, offering substantial benefits in applications ranging from text generation to complex problem-solving. However, there are circumstances where developing a bespoke language model becomes not just beneficial but essential.
Edgeless Systems introduced Continuum AI, the first generative AI framework that keeps prompts encrypted at all times with confidential computing by combining confidential VMs with NVIDIA H100 GPUs and secure sandboxing.
This post is part of the NVIDIA AI Red Team’s continuing vulnerability and technique research. Use the concepts presented to responsibly assess and increase the security of your AI development and deployment processes and applications.
Join the webinar on June 11th with NVIDIA and Super Protocol to learn about the benefits of Confidential Computing for Web3 AI.
As cyberattacks become more sophisticated, organizations must constantly adapt with cutting-edge solutions to protect their critical assets. One such solution is Cisco Secure Workload, a comprehensive security solution designed to safeguard application workloads across diverse infrastructures, locations, and form factors.
The software development and deployment process is complex. Modern enterprise applications have complex software dependencies, forming an interconnected web that provides unprecedented functionality, but with the cost of exponentially increasing complexity.
In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights, we now introduce a revolutionary new architecture that redefines the boundaries of graph processing.
In cybersecurity, identifying threats swiftly and accurately is paramount to the success of the modern enterprise. Linux audit logs, which record system activities, offer a goldmine of data for spotting unusual activities that could signify security breaches and insider threats.
Cybersecurity experts at the RSA Conference this week will be on the hunt for ways to secure their operations in the era of generative AI. They’ll find many of the latest tools use AI and accelerated computing.
Securing the private 5G and applications at the edge comes with many challenges. Sophisticated AI– and ML-based attack campaigns require security to respond in real time.
NVIDIA launched the initial release of the Confidential Computing (CC) solution in private preview for early access in July 2023 through NVIDIA LaunchPad. Confidential Computing can be used in virtualized environments and provides the highest level of security with the best performance possible in the industry today.
In today’s complex business environments, IT teams face a constant flow of challenges, from simple issues like employee account lockouts to critical security threats. These situations demand both quick fixes and strategic defenses, making the job of maintaining smooth and secure operations ever tougher.
The journey to the future of secure communications is about to jump to warp drive. NVIDIA cuPQC brings accelerated computing to developers working on cryptography for the age of quantum computing.
Software is writing software, thanks to generative AI. Now, it can even help check software for cybersecurity and other risks.
We are so excited to be back in person at GTC this year at the San Jose Convention Center.
Join us on March 20 for Cybersecurity Developer Day at GTC to gain insights on leveraging generative AI for cyber defense.
Join experts from NVIDIA and the public sector industry to learn how cybersecurity, generative AI, digital twins, and more are impacting the way that government agencies operate.
Connect with industry leaders, learn from technical experts, and collaborate with peers at NVIDIA GTC 2024 Developer Days.
Discover how generative AI is powering cybersecurity solutions with enhanced speed, accuracy, and scalability.
The NVIDIA DOCA 2.6 release includes support for NVIDIA Spectrum-X reference architecture with the NVIDIA BlueField-3 SuperNIC and enhances DOCA host-based networking (HBN).
NVIDIA has joined the National Institute of Standards and Technology’s new U.S. Artificial Intelligence Safety Institute Consortium as part of the company’s effort to advance safe, secure and trustworthy AI. AISIC will work to create tools, methodologies and standards to promote the safe and trustworthy development and deployment of AI.
As a comprehensive software framework for data center infrastructure developers, NVIDIA DOCA has been adopted by leading AI, cloud, enterprise, and ISV innovators. The release of DOCA 2.5 marks its third anniversary.
Learn how generative AI can help defend against spear phishing in this January 30 webinar.