Rony Ohayon
CEO
Protect AI
10/10Traction
DeepKeep provides an AI-native security platform designed to identify and remedy vulnerabilities across the entire Generative AI and LLM lifecycle. The platform continuously monitors for seen, unseen, and unpredictable threats in multimodal AI applications, including LLM, vision, and tabular data. This enables large organizations to manage risk and ensure trust in their AI deployments from development through real-time use.
- Artificial Intelligence
- Cybersecurity
- Enterprise Software
- Software Only
Updated 22 months ago
Funding
Raised to date
$8.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Awz VenturesNo round attributed
- Source unavailable
Flashpoint Venture CapitalNo round attributed
- flashpointvc.com (opens in a new tab)investor website
Funding rounds are not available yet.
Founders
Product
Problem
AI and large language models (LLMs) present unpredictable security risks throughout their lifecycle due to the complex connections and logic inherent in these systems. Traditional security measures often fail to comprehend and protect the expansive AI surface area, leaving organizations vulnerable to unseen and validated threats.
Solution
DeepKeep offers a generative AI platform designed to continuously identify vulnerabilities in AI and LLMs, providing real-time risk assessment and automated security remedies. The platform employs an AI firewall that is continuously updated to trigger alerts throughout the pre- and post-deployment environment. By enabling data scientists, ML engineers, compliance, and CISO teams to gain insights into AI risks, DeepKeep empowers organizations to manage risk and protect growth with AI-native security and trust.
Target Audience
DeepKeep primarily targets large corporations that rely on AI, GenAI, and LLMs, as well as data scientists, ML engineers, compliance teams, and CISOs responsible for AI security and risk management.
Features
- Continuous risk assessment through adaptive evaluation of AI model robustness and trustworthiness.
- AI Firewall that provides real-time alert triggering throughout the AI lifecycle.
- Protection for multi-modal AI, including LLMs, vision, and tabular data.
- Identification of exposures within and across models throughout the AI pipeline.
- Streamlined deployment and evaluation metrics for efficient AI security management.