By HiddenLayerLearning Objectives
- Understand why AI systems themselves need dedicated security
- Learn what HiddenLayer protects against
- See how AI security differs from traditional cybersecurity
What Is HiddenLayer?
HiddenLayer is a cybersecurity company focused on a problem that barely existed a few years ago: protecting AI and machine-learning systems themselves. As organizations deploy models and agents into production — often with access to data and the ability to take actions — those systems become high-value targets and introduce attack types that traditional security tools were never built to handle. HiddenLayer is one of the leading independent companies dedicated to securing them.
Its platform discovers an organization's AI assets (the models in use, often more than anyone realizes), scans models and their supply chain for tampering or malicious code, simulates adversarial attacks to find weaknesses, and provides runtime detection and response for AI systems under attack. As AI becomes critical infrastructure, securing it has become its own discipline, and HiddenLayer is a pioneer of it.
💡Key Concept
Why AI needs its own security: A traditional security tool watches networks, endpoints, and code. It does not understand model theft, data poisoning, adversarial inputs that fool a model, or a prompt-injection attack that hijacks an agent. Those are AI-specific threats — and securing against them is a new discipline, which is HiddenLayer's entire focus.
✅Tip
Visit HiddenLayer: hiddenlayer.com — an enterprise platform for organizations deploying AI; pricing is custom.
Core Capabilities
AI Asset Discovery
HiddenLayer inventories the models an organization actually uses — often surfacing AI assets that security teams did not know were in production — which is the prerequisite for securing them.
Model Supply-Chain Scanning
It scans models and their components for tampering, backdoors, or malicious code, addressing the risk that a downloaded or third-party model has been compromised.
Adversarial Testing
HiddenLayer simulates attacks against models — adversarial inputs, extraction, evasion — to find weaknesses before real attackers do, a kind of red-teaming for AI.
Runtime Detection and Response
It monitors AI systems in production for attacks and anomalous behavior, providing the detection and response layer that mature security expects, adapted to AI.
Strengths
- Dedicated AI security — built entirely for protecting models and agents
- Covers the lifecycle — discovery, supply chain, adversarial testing, and runtime
- Addresses real, novel threats — model theft, tampering, adversarial attacks
- Independent leader — a pioneer in a fast-emerging, essential category
Limitations & Considerations
- Young, fast-moving field — AI security is new, and threats and tooling evolve quickly
- Enterprise focus — built for organizations deploying AI at scale
- One layer of AI safety — complements guardrails, governance, and human oversight rather than replacing them
- Requires AI-security expertise — most valuable to teams that understand AI risk
Best Use Cases
| Task | Why HiddenLayer |
|---|---|
| Finding all the AI models in use | AI asset discovery |
| Checking models for tampering | Model supply-chain scanning |
| Red-teaming models for weaknesses | Adversarial-attack simulation |
| Detecting attacks on AI in production | Runtime detection and response |
Getting Started
- Visit hiddenlayer.com and request a demo (an enterprise platform)
- Start with AI asset discovery to inventory the models actually in production
- Scan models and supply chain, and run adversarial tests to find weaknesses
- Add runtime detection, and combine with guardrails and governance for layered AI safety
Key Takeaways
- HiddenLayer is a security platform built entirely to protect AI and machine-learning systems
- It covers AI asset discovery, model supply-chain scanning, adversarial testing, and runtime detection
- AI security is a new discipline because AI faces threats traditional tools were never designed for
- It is one layer of AI safety, best combined with guardrails, governance, and human oversight
