AI Xhield
AI for Security, Security for AI and AI Infrastructure insights
Hello, network!
It’s been two years since OpenAI's ChatGPT was launched, and the world has embraced AI like never before.
We’ve seen tech giants investing heavily in infrastructure, particularly by purchasing NVIDIA H100s and making them available in their cloud services.
But what really stands out to me is Meta’s approach. They’re acquiring the infrastructure (H100s) to train models and seamlessly integrating them into consumer apps, offering these models almost for free in a semi-open-source format. This strategy is pushing the industry forward in a big way.
From an investment perspective, we’ve witnessed an explosion of startups focused on both the application layer and infrastructure, simplifying the creation of AI-native companies and products with GenAI through various models and techniques.
However, the topic I’m most interested in is security in AI systems. This is where we need more innovation to enable enterprises, mid-sized businesses, and SMEs to integrate AI securely.
After meeting with many companies and reading cybersecurity blogs such as Francis Odum, Ross Haleliuk , Return on Security, Strategy of Security and Altitude Cyber, I believe there is a growing opportunity in AI Security and Security for AI. As AI becomes the next compute platform, this focus will be critical. The resources mentioned already provide great coverage of the current cybersecurity ecosystem, but more attention is needed in this specific area.
Please let me in the comments the topics you want us to discuss:
Generative AI Regulation and Compliance
State of the Art on AI Explainability
Data Security for Generative AI
Other