About
HiddenLayer is a purpose-built AI security platform designed to protect enterprise AI systems from the growing spectrum of adversarial threats. As organizations embed AI into critical workflows faster than security teams can track, HiddenLayer provides the visibility and defenses needed to stay ahead of attackers. The platform is organized around four core pillars: AI Discovery automatically identifies and inventories all AI models and assets across environments, eliminating shadow AI risk. AI Supply Chain Security validates third-party and open-source models for malicious code, backdoored weights, and vulnerable dependencies before deployment. AI Attack Simulation continuously stress-tests AI systems with realistic adversarial scenarios to uncover weaknesses before attackers do. AI Runtime Security monitors live AI applications in production, detecting and responding to threats like prompt injection, data leakage, and model abuse without impacting performance. HiddenLayer also offers AI Guardrails to enforce behavioral policies in real time and a Red Teaming service for proactive adversarial assessments. It serves CISOs, AI leaders, application developers, and teams across financial services, technology, and the U.S. federal government. The platform is designed to meet strict regulatory requirements while accelerating safe AI innovation at enterprise scale.
Key Features
- AI Discovery: Automatically identifies and inventories AI models and assets across all environments, eliminating blind spots caused by shadow AI.
- AI Supply Chain Security: Scans and validates third-party and open-source AI models for malicious code, backdoored weights, and vulnerable dependencies before deployment.
- AI Attack Simulation: Continuously tests AI systems with adversarial simulations to uncover vulnerabilities and weaknesses before real-world attackers exploit them.
- AI Runtime Security: Detects and responds to live AI attacks in production — including prompt injection and data leakage — without impacting system performance.
- AI Guardrails: Enforces real-time behavioral policies to prevent unsafe AI outputs, prompt injection, and sensitive data exposure in deployed applications.
Use Cases
- A financial services firm uses HiddenLayer to secure AI models powering fraud detection, ensuring they haven't been tampered with and meet regulatory compliance standards.
- A technology company scans all open-source and third-party AI models for backdoors and supply chain risks before integrating them into production pipelines.
- An enterprise security team uses AI Attack Simulation to continuously red-team their generative AI applications and identify exploitable weaknesses before adversaries do.
- A U.S. federal agency deploys HiddenLayer to protect mission-critical AI systems aligned with national cybersecurity standards and public-sector requirements.
- An AI platform team uses HiddenLayer Guardrails to enforce real-time policies preventing prompt injection and sensitive data leakage across customer-facing AI applications.
Pros
- Full Lifecycle Coverage: Protects AI systems at every stage — from model sourcing and development through deployment and production — providing a unified security posture.
- Patented, Research-Backed Technology: Built on industry-leading adversarial AI research and patented detection methods, offering proven defense against sophisticated AI-specific threats.
- Enterprise & Compliance Ready: Purpose-built for regulated industries like financial services and the U.S. federal government, supporting strict compliance and governance requirements.
- Agentic AI Security: Specifically addresses the emerging risks of autonomous and tool-using AI agents, including misuse, privilege escalation, and cross-system exploitation.
Cons
- No Self-Serve Pricing: Access requires booking a demo with a sales team, making it less accessible for smaller teams or individual developers looking to evaluate quickly.
- Enterprise Complexity: The platform's breadth of features and enterprise focus may introduce implementation overhead that's disproportionate for small or early-stage organizations.
- Niche Use Case: Primarily relevant to organizations already operating AI at scale; limited value for teams that have not yet deployed AI in production environments.
Frequently Asked Questions
What is HiddenLayer?
HiddenLayer is an enterprise AI security platform that protects AI models, applications, and agentic systems from adversarial threats across the full AI lifecycle — from supply chain to runtime.
What types of AI threats does HiddenLayer protect against?
HiddenLayer defends against prompt injection, data leakage, model backdoors, supply chain attacks, adversarial inputs, and misuse of agentic AI systems, among other AI-specific threats.
Who is HiddenLayer designed for?
It is designed for enterprise security teams, CISOs, AI leaders, and application developers — especially those in regulated industries like financial services, technology, and the U.S. federal government.
Does HiddenLayer work with third-party and open-source AI models?
Yes. HiddenLayer's AI Supply Chain Security module specifically validates third-party and open-source models for malicious code, backdoored weights, and vulnerable dependencies before they are deployed.
How does HiddenLayer handle production AI systems without disrupting performance?
HiddenLayer's AI Runtime Security module is designed to detect and respond to attacks in real time while operating transparently in the background, ensuring protection without degrading production system performance.
