HiddenLayer addresses the emerging attack surface created by AI model deployment with a four-pillar security platform covering runtime protection, supply chain scanning, red teaming, and guardrails. As organizations deploy AI models in production, they face threats that traditional security tools cannot detect — adversarial inputs designed to manipulate model outputs, poisoned model files containing hidden payloads, prompt injection attacks targeting LLM applications, and model extraction attempts. HiddenLayer provides purpose-built defenses for each of these threat vectors.
The runtime security component monitors model inference in real-time, detecting adversarial inputs and anomalous patterns that indicate attacks against deployed models. The model scanning tool examines model files for hidden malware, backdoors, and unsafe code — critical for organizations using models from public repositories like Hugging Face. The automated red teaming capability systematically probes AI systems for vulnerabilities including jailbreaks, data extraction, and alignment bypasses, providing actionable findings for security teams.
HiddenLayer has raised $31.9M from investors including Microsoft's M12, IBM Ventures, and Booz Allen Hamilton, and was recognized as a Gartner Cool Vendor in 2024 for AI security. The platform supports major ML frameworks and deployment environments, integrating into existing security workflows. For organizations deploying AI in regulated industries or handling sensitive data, HiddenLayer fills a critical gap between traditional application security and the unique threat landscape of machine learning systems.
