HiddenLayer, an Austin, TX-based the developer of a security platform that safeguards the machine learning models enterprise organizations use behind their most important products, raised $6M in Seed funding.
Ten Eleven Ventures led the seed round with a $4.75 million dollar investment. Secure Octane also participated.
The company intends to use the funds to accelerate growth and expand operations.
Co-founded by Christopher “Tito” Sestito, Tanner Burns, and James Ballard, HiddenLayer emerged from stealth mode to launch its flagship product, purpose-built to detect and prevent cyberattacks that target machine-learning-powered systems. The platform’s primary product is the industry’s first and only Machine Learning Detection & Response (MLDR) solution that protects enterprises and their customers from this emerging attack vector.
Organizations across virtually all industries are incorporating artificial intelligence (AI) technology into their hardware and software products that make machine learning (ML) inputs and outputs available to their customers, and bad actors have taken notice.
HiddenLayer’s MLDR solution uses a patent-pending ML-based approach to analyze billions of model interactions per minute to identify malicious activity without any access to or prior knowledge of the user’s ML model(s) or sensitive training data. It detects and responds to attacks against ML models to protect intellectual property and trade secrets from theft or tampering and ensure users are not exposed to attacks.
The company’s MLDR is a non-invasive and easy-to-use security solution that does not require access to raw data or algorithms. It identifies patterns in ML model traffic through contextless vectorized data points to provide comprehensive defense from adversarial attacks targeting the deployed ML model in production.
FinSMEs
19/07/2022