AI-Native Security and Trustworthiness for Enterprise AI

DeepKeep, founded in 2021 in Tel Aviv, is one of the earliest companies to focus explicitly on AI-native security and trustworthiness, positioning itself ahead of the surge of 2023-2025 model security startups. With $10 million raised in seed funding, DeepKeep built a platform aimed at securing organizations that rely on generative AI, computer-vision systems, and large language models across the full model lifecycle.

At the core of DeepKeep’s offering is multimodal protection — monitoring and securing interactions across text, images, and structured data. The platform identifies vulnerabilities unique to advanced AI systems, including prompt injection, semantic manipulation, hallucination-based exploits, data leakage (including sensitive PII), resource exhaustion, and evasion attacks. DeepKeep continuously analyzes model outputs for toxicity, bias, discrimination, and other trust-related indicators to ensure alignment with global AI safety and cybersecurity standards.

DeepKeep’s architecture is model-agnostic, capable of integrating with both proprietary and third-party AI platforms such as GPT, Gemini, and Copilot. The system uses generative AI internally to anticipate emerging threats and adapt defenses dynamically, an approach intended to match the accelerating pace of AI innovation. Its continuous monitoring,

automated prevention controls, and compliance-focused reporting make it particularly suited for organizations operating under strict governance requirements.