Enkrypt AI, a pioneering company in the adoption of Generative AI within enterprises, has recently announced a successful funding round of $2.35 million. The funding will be used to address the safety, security, and compliance concerns surrounding the use of generative AI and Large Language Models (LLMs) in the business world.
Generative AI and LLMs offer great potential for improving efficiency and functionality in various industries. However, the inherent risks associated with these technologies have been a major obstacle to their widespread adoption. Enkrypt AI aims to bridge this gap by providing enterprises with a comprehensive toolkit that ensures the safe and compliant use of LLMs and generative AI.
The funding round was led by Boldcap, with participation from other prominent investors in the AI, healthcare, and enterprise sectors. Enkrypt AI was founded in 2022 by Sahil Agarwal and Prashanth Harshangi, two Yale PhDs and experienced AI practitioners. The Enkrypt AI platform, called Sentry, acts as a control layer between LLMs and end-users, offering essential security and safety functionalities.
Through the use of Sentry, Enkrypt AI has already demonstrated a significant reduction in vulnerabilities across LLMs. For example, in the case of LlaMa2-7B, the platform successfully reduced jailbreaks from 6% to just 0.6%. This impressive track record has attracted the attention of Fortune 500 companies, such as a leading data infrastructure company that uses Sentry to gain complete access control and visibility over all their LLM projects.
Enkrypt AI’s comprehensive approach to security includes unmatched visibility and oversight of LLM usage, protection of sensitive information, and strict compliance with evolving standards. The platform not only detects vulnerabilities but provides developers with the necessary tools to fortify their AI solutions against current and future threats.
The importance of AI safety has been recognized by policymakers and experts, as highlighted by the establishment of an AI safety consortium by the US Government’s NIST standards body. Ensuring the security and compliance of generative AI is no longer just a best practice but a necessity.
Enkrypt AI’s mission is to empower enterprises to leverage the full potential of generative AI with confidence in the security and compliance of their applications. By setting a new standard in AI safety, the company aims to protect users and organizations against emerging threats while enabling responsible and widespread adoption of AI innovations.
With the support of investors and their advanced platform capabilities, Enkrypt AI is revolutionizing the integration and management of LLMs, making generative AI a safe and compliant reality for enterprises in various industries.
FAQ:
1. What is Enkrypt AI?
Enkrypt AI is a pioneering company that specializes in the adoption of Generative AI within enterprises. They provide a comprehensive toolkit called Sentry that ensures the safe and compliant use of Large Language Models (LLMs) and generative AI.
2. What is the purpose of the recent funding round?
The funding round of $2.35 million is aimed at addressing the safety, security, and compliance concerns surrounding the use of generative AI and LLMs in the business world.
3. Who led the funding round?
The funding round was led by Boldcap, with participation from other prominent investors in the AI, healthcare, and enterprise sectors.
4. What is the role of the Sentry platform?
The Sentry platform acts as a control layer between LLMs and end-users, offering essential security and safety functionalities. It reduces vulnerabilities across LLMs and provides complete access control and visibility over LLM projects.
5. What is an example of the reduction in vulnerabilities achieved by Enkrypt AI?
Enkrypt AI has successfully reduced jailbreaks from 6% to just 0.6% in the case of LlaMa2-7B, showcasing its effectiveness in enhancing security.
Definitions:
– Generative AI: A technology that uses machine learning algorithms to generate new and original content, such as images, text, or music.
– Large Language Models (LLMs): Advanced models that have been trained on vast amounts of text data and can generate human-like texts.
Suggested related links:
– Enkrypt AI – Official website of Enkrypt AI, where you can find more information about their offerings and solutions.