Texas-based startup HiddenLayer has secured an impressive $50 million in venture capital funding, signifying growing investor interest in AI security technologies aimed at safeguarding AI and language learning model (LLM) training data and code.
Futhermore, HiddenLayer, which emerged from stealth mode in July 2022 with an initial $6 million in funding, led this funding round with participation from M12, Microsoft’s Venture Fund, and Moore Strategic Ventures, as well as equity investments from Booz Allen Ventures, IBM Ventures, Capital One Ventures, and Ten Eleven Ventures. The company, recognized as the ‘Most Innovative Startup’ at the RSA Innovation Sandbox, envisions a future where machine learning detection and response (MLMDR) platforms monitor AI algorithms for any unusual activity consistent with adversarial machine learning attack techniques.
Additionally, HiddenLayer’s primary focus is the development of a Machine Learning Security (MLSec) Platform equipped with tools to fortify ML models against adversarial attacks, vulnerabilities, and malicious code injections.
At the same time, the product promises real-time defense and response capabilities, including alerting, isolation, profiling, and misleading tactics to counteract threats effectively. HiddenLayer is part of a wave of emerging startups dedicated to enhancing AI security, addressing the growing need for robust protection as AI and generative AI technologies, such as OpenAI’s ChatGPT, gain prominence.
This surge in AI security investments coincides with the launch
HiddenLayer’s efforts, alongside other startups like Cranium, spun out by consulting giant KPMG, highlight the industry’s commitment to developing comprehensive AI security and trust platforms capable of mitigating adversarial threats and ensuring the integrity of AI pipelines and models.
