Summary
NVIDIA recently showcased its AI security expertise at leading cybersecurity conferences, including Black Hat USA and DEF CON. The company’s AI security experts shared insights on the rapidly evolving AI landscape, adversarial machine learning training, and large language model (LLM) security. This article highlights the key takeaways from these events and explores how NVIDIA is contributing to the development of AI-powered cybersecurity solutions.
NVIDIA’s AI Security Expertise on Display
NVIDIA’s AI security experts recently participated in Black Hat USA and DEF CON, two of the most prominent cybersecurity conferences in the industry. At these events, the company shared its expertise on AI security, including the use of AI and machine learning (ML) in cybersecurity, adversarial machine learning training, and LLM security.
Black Hat USA 2024
At Black Hat USA 2024, NVIDIA’s AI security experts presented several talks and workshops on AI security. Bartley Richardson, director of Cybersecurity AI at NVIDIA, delivered a keynote on the rapidly evolving AI landscape, highlighting how AI and automation can transform the way we tackle today’s cyber challenges.
DEF CON 32
At DEF CON 32, NVIDIA’s AI security experts participated in the AI Village, where they hosted a Generative Red Team challenge. This challenge involved attacking an LLM, which led to real-time improvements to the model’s safety guardrails and model card. Nikki Pope delivered a keynote on the critical role of algorithmic fairness and safety in AI systems.
LLM Security
NVIDIA Principal Security Architect Rich Harang presented a talk on Practical LLM Security: Takeaways From a Year in the Trenches. The talk focused on grounding LLM security in a familiar application security framework and provided audience members with a foundational understanding of the full threat topology around LLM applications.
NVIDIA’s AI Security Contributions
NVIDIA is contributing to the development of AI-powered cybersecurity solutions through its AI security expertise. The company’s AI security experts are working to provide the security community with the knowledge necessary to effectively threat model, red team, assess, and deploy AI systems with a security mindset.
NVIDIA’s AI Security Tools and Technologies
NVIDIA offers a range of AI security tools and technologies, including:
- NVIDIA Morpheus: A GPU-accelerated, end-to-end AI framework for enterprise developers to build, customize, and scale cybersecurity applications.
- NVIDIA NIM: Easy-to-use microservices for secure, reliable deployment of high-performance AI inferencing across the cloud, data center, and workstations.
- NVIDIA DOCA: Unlocks the cybersecurity potential of NVIDIA BlueField DPUs and SuperNICs, enabling the rapid creation and integration of applications that use BlueField to offload and accelerate security tasks.
- NVIDIA NeMo Guardrails: Orchestrates dialog management for LLMs, ensuring accuracy, appropriateness, and security in smart applications.
The Future of AI-Powered Cybersecurity
The use of AI and ML in cybersecurity is rapidly evolving, and NVIDIA is at the forefront of this development. The company’s AI security expertise and tools are helping to transform the way we tackle today’s cyber challenges.
#Table: NVIDIA’s AI Security Tools and Technologies
| Tool/Technology | Description |
|---|---|
| NVIDIA Morpheus | GPU-accelerated, end-to-end AI framework for enterprise developers |
| NVIDIA NIM | Easy-to-use microservices for secure, reliable deployment of high-performance AI inferencing |
| NVIDIA DOCA | Unlocks the cybersecurity potential of NVIDIA BlueField DPUs and SuperNICs |
| NVIDIA NeMo Guardrails | Orchestrates dialog management for LLMs, ensuring accuracy, appropriateness, and security |
Table: Key Takeaways from NVIDIA’s AI Security Expertise
| Key Takeaway | Description |
|---|---|
| AI and automation can transform cybersecurity | AI and automation can help tackle today’s cyber challenges more efficiently and effectively |
| LLM security is critical | LLMs require specialized security measures to prevent attacks and ensure safety |
| Adversarial machine learning training is essential | Adversarial machine learning training can help improve the security of AI systems |
| NVIDIA’s AI security expertise is driving innovation | NVIDIA’s AI security expertise is helping to drive the development of AI-powered cybersecurity solutions |
Conclusion
NVIDIA’s AI security expertise is helping to drive the development of AI-powered cybersecurity solutions. The company’s participation in leading cybersecurity conferences, such as Black Hat USA and DEF CON, demonstrates its commitment to sharing knowledge and expertise with the security community. As the use of AI and ML in cybersecurity continues to evolve, NVIDIA is well-positioned to play a leading role in this development.