DeepKeep Comes out of Stealth to Safeguard GenAI with AI-Native Security and Trustworthiness

DeepKeep’s pioneering AI security platform is already defending AI models at leading American and Japanese enterprises

Tel Aviv, May 1, 2024—DeepKeep, the leading provider of AI-Native Trust, Risk, and Security Management (TRiSM), today revealed its platform, which enables large corporations that rely on AI, GenAI, and LLM to manage risk and protect growth.

As defense needs and budgets grow worldwide and AI security evolves into a regulatory requirement, DeepKeep’s solution is rising to the challenge.

Established in 2021 by seasoned AI innovator Rony Ohayon, DeepKeep employs GenAI to secure LLM, GenAI and AI to safeguard the entire AI lifecycle, enabling organizations to create bold AI models—providing them with a significant competitive advantage.

The platform enables data scientists and CISO teams to gain valuable understanding and insights into AI systems' risks and challenges, alongside comprehensive protection and alerts. DeepKeep is already deployed by leading global enterprises in the finance, security, and AI computing sectors.

DeepKeep initially raised $10M in seed funding in a round led by Awz Ventures.

“We recognized DeepKeep’s potential early on as a top developer of a robust, comprehensive, AI  firewall platform—what is now an essential solution for defending advanced AI models,” said Awz Founder and Managing Partner Yaron Ashkenazi. “As we rely on AI models in every facet of industry, we must ensure that this AI is well-protected and adhere to the requirements set forth by the regulatory bodies of nations worldwide.”

AI is becoming an essential part of businesses and everyday lives. In 2023, 35% of businesses adopted AI, while 90% of leading businesses supported AI and invested in it to achieve competitive advantages. As the adoption of LLMs and generative AI surges in a wide range of diverse applications and industries, so will organizations’ attack surfaces, posing several types of threats and weaknesses. New risks associated with LLMs are unique beyond traditional, familiar issues, such as cyber-attacks, and include prompt injection, jailbreak, and PII leakage, as well as a lack of trustworthiness due to limited biases, fairness and weak spots.

DeepKeep is a model-agnostic, multi-layer platform that safeguards AI with AI-native security and trustworthiness from the R&D phase of machine learning models through to deployment, covering risk assessment, prevention, detection, and mitigation. DeepKeep’s platform recently prevented data leakage and stopped an LLM from toxic responses at a large financial institution. It also executed fast object detection on an edge device with GenAI. These successful trials have paved the way to DeepKeep applying GenAI on a wide range of additional use cases.

“Today, I am proud to showcase DeepKeep’s technology and our vision to ensure the responsible and secure development, deployment, and use of AI technologies,” says Rony Ohayon, CEO and Founder of DeepKeep. “DeepKeep offers AI-Native security and trustworthiness that secures AI throughout its entire lifecycle, enabling businesses to adopt AI safely while protecting commercial and consumer data safety.”

About DeepKeep

Artificial intelligence is creating the world’s largest and most unpredictable attack surface. Only AI-Native security - built itself with generative AI - can protect limitless borders and endless content generation made possible by GenAI. DeepKeep's AI security promotes unbiased, error-free, secure, and trustworthy AI solutions. This includes vision data models, LLM and multimodal in risk assessments, protection, monitoring, and mitigation.