Data Privacy in the Context of LLMs - Interview with Startups of the Year Nominee, Mithril Security

Hey Hackers,

🎉Mithril Security has been nominated in HackerNoon's annual Startup of the Year awards in Paris, France🎉

Please vote for us here.

Read more about us below to understand why we deserve your vote.

Meet Mithril Security

At Mithril Security, we focus on securing the deployment of large language models (LLMs). We make Zero Trust a tangible reality in LLM-based SaaS, ensuring end-to-end data protection. By leveraging Confidential Computing, we elevate the potential of LLMs, safeguarding data throughout its lifecycle.

Our vision isn't just about security but also about enabling innovation. We create an environment where companies can leverage LLMs while meeting stringent privacy standards. What we bring to the table is not just robust security, but also the freedom to innovate without worry, fully utilizing the power of LLMs.

My Role

Fresh out of Ecole Polytechnique, I launched Mithril Security to address the growing need for secure AI applications. Combining my engineering background with market insights, I shape strategies that align technology with customer needs. My role involves constantly refining our solutions, and leveraging customer feedback to improve. Our mission is to democratize privacy-friendly AI, offering comprehensive data protection in our data-centric world.

-- Daniel Huynh, CEO of Mithril Security

How We're Disrupting/Improving the AI Industry

Mithril Security focuses on data privacy in the context of Large Language Models (LLMs). These models perform various tasks but often involve sharing sensitive data with AI vendors, posing privacy risks. We are bridging this gap with encapsulated AI models in secure environments, reducing risks.

With two years of dedication, we've built a customer base and completed a security audit. Our mission is to enable innovation while meeting privacy standards. We aim to provide robust security and the freedom to innovate, fully utilizing the power of LLMs.

Standing Out from The Crowd

Unlike our competitors who offer either overly complex generic cybersecurity solutions or AI privacy solutions that are laborious to set up and don't meet performance expectations, Mithril offers simplicity and efficiency.

We are dedicated to designing easily-implemented solutions that don't compromise on performance or security. We will focus on harnessing advanced Privacy Enhancing Technologies (PETs) within a user-friendly interface, making privacy-friendly AI accessible to organizations of all sizes.

Our solution, while now more focused on Large Language Models (LLMs), could also be applied to improve the security of other cloud services. We are talking to companies in other industries and currently working on the use cases in other fields.

Our Predictions/Thoughts on the AI Industry in 2023

As of 2023, AI has undergone significant transformations and is now in a more mature state. It has had a profound impact on various industries and everyday life. AI models have become more advanced, allowing them to perform complex tasks with a high level of accuracy. This increased sophistication has led to a greater emphasis on ethical considerations such as privacy and fairness in AI development and deployment.

With global adoption on the rise for a wide range of use cases, we anticipate that more regulations will be published to address these concerns and ensure responsible AI practices.

Why we decided to participate in HackerNoon's Startup of the Year awards

We decided to participate in HackerNoon's Startup of the Year awards because we see it as an ideal platform to highlight our core mission.

In this era, AI technology has been more and more applied, and with it comes the vital need for AI privacy. Our goal at Mithril Security is to democratize this aspect of AI, making privacy practices accessible, comprehensible, and practical for all users. The awards offer a valuable opportunity to underscore our dedication to this cause and promote the broader acceptance of AI that is privacy-conscious within the industry.

Final Thoughts

Mithril Security assists in protecting data privacy in Large Language Models, enabling organizations to leverage their full potential while ensuring comprehensive protection.

Our mission is to democratize privacy-friendly AI and foster innovation in a secure environment. By participating in HackerNoon's Startup of the Year awards, we showcase our commitment to driving responsible and secure AI practices.

Together, let's shape a future where privacy and innovation go hand in hand.