DeepKeep, a renowned provider of AI-Native Trust, Risk, and Security Management (TRiSM), is leading the way in empowering large corporations reliant on AI, GenAI, and LLM technologies to effectively manage risk and ensure growth protection. With an innovative model-agnostic, multi-layer platform, DeepKeep is revolutionizing the approach to AI security and trustworthiness from the initial research and development phase of machine learning models all the way through to deployment. This comprehensive solution includes risk assessment, prevention, detection, monitoring, and mitigation strategies, making DeepKeep a crucial partner for businesses looking to adopt AI confidently while safeguarding both commercial and consumer data.
According to Rony Ohayon, the CEO and Founder of DeepKeep, “DeepKeep’s technology and vision are dedicated to ensuring the responsible and secure development, deployment, and utilization of AI technologies. Our AI-native security and trustworthiness measures are designed to protect AI throughout its entire lifecycle, allowing businesses to embrace AI with confidence while safeguarding sensitive data.”
As the reliance on AI continues to grow exponentially, with statistics showing that 35% of businesses have adopted AI in 2023 and 90% of leading businesses investing in AI for competitive advantage, the need for effective AI security measures is more critical than ever. The surge in adoption of Large Language Models (LLMs) and generative AI across various applications and industries has expanded organizational attack surfaces, introducing a host of unique threats and vulnerabilities. Risks associated with LLMs extend beyond traditional cyber-attacks to include issues such as Prompt Injection, Jailbreak, PII Leakage, and trustworthiness concerns related to biases, fairness, and vulnerabilities.
DeepKeep’s alignment with Gartner’s new TRiSM category further underscores the company’s commitment to ensuring AI model governance, trustworthiness, fairness, reliability, robustness, efficacy, and data protection. By offering solutions and techniques for model interpretability and explainability, AI data protection, model operations, and adversarial attack resistance, DeepKeep is at the forefront of providing comprehensive security measures for AI technologies.
One of DeepKeep’s standout features is its utilization of Generative AI to secure Generative AI, setting it apart from competitors in the market. By leveraging GenAI to protect LLMs and computer vision models throughout the AI lifecycle, DeepKeep’s AI-native security solutions offer businesses a safe and reliable way to adopt AI technologies, safeguarding both commercial and consumer data.
DeepKeep’s expertise extends to various domains, including computer vision models, large language models (LLMs), and multimodal scenarios. The company prioritizes the implementation of trustworthiness and security measures to create synergies that exceed the sum of their parts. By addressing both digital and physical threats, such as facial recognition and object detection, DeepKeep ensures comprehensive protection for its clients.
In a recent funding round led by Canadian-Israeli VC Awz Ventures, DeepKeep secured $10M in seed funding to support its expansion plans. The company is set to venture into multilingual natural language processing (NLP) as it collaborates with multinational companies globally. There is a growing demand for support in multiple languages, with an initial focus on Japanese, driven by ongoing partnerships with Japanese firms.
A notable achievement of DeepKeep is its extensive evaluation of Meta’s LlamaV2 7B LLM. The evaluation highlighted both weaknesses and strengths of the model, shedding light on areas such as susceptibility to Prompt Injection attacks, vulnerability to Adversarial Jailbreak attacks, tendencies for data leakage across diverse datasets, and issues related to hallucination and biases. While the model demonstrated strengths in task performance and ethical commitment, there are areas for improvement in handling complex transformations, addressing bias, and enhancing security against sophisticated threats.
Dr. Rony Ohayon, with his impressive background in the high-tech industry and academia, is leading DeepKeep towards a future where AI security and trustworthiness are paramount. With a Ph.D. in Communication Systems Engineering, post-doctoral experience in France, an MBA, and over 30 registered patents, Dr. Ohayon’s expertise is instrumental in driving DeepKeep’s commitment to secure and responsible AI technology deployment.
In conclusion, DeepKeep’s dedication to providing cutting-edge AI security and trustworthiness solutions positions the company as a leader in the field. With a focus on safeguarding AI technologies throughout their lifecycle and addressing emerging threats and vulnerabilities, DeepKeep is paving the way for businesses to adopt AI technologies with confidence and peace of mind.