HiddenLayer threat coverage: OWASP LLM Top 10 & MITRE ATLAS (2026)
ActiveHiddenLayer is an AI-SPM / Runtime Protection vendor based in Austin, USA. Its flagship product is HiddenLayer AISec Platform (AI Discovery, Model Scanner, AIDR runtime, Automated Red Teaming). Against the OWASP LLM Top 10 (2025) we score it Covered on 3 of 10 risks, Partial on 6, with 7 MITRE ATLAS techniques mapped as of . It's independent.
- 3/10
- Risks covered
- 6
- Partial
- 7
- ATLAS techniques
- $56M
- Funding
- Active
- Status
At a glance
- Category
- AI-SPM / Runtime Protection
- Headquarters
- Austin, USA
- Founded
- 2022
- Employees
- 101-250
- Flagship product
- HiddenLayer AISec Platform (AI Discovery, Model Scanner, AIDR runtime, Automated Red Teaming)
- Deployment
- SaaS, self-hosted, API/CI-CD; agentless and model-agnostic
- Best for
- Enterprises needing model file scanning plus non-invasive runtime detection across GenAI, predictive ML and agentic systems
- Funding to date
- $56M
- Last round
- Series A ($50M) · 2023-09
- Status
- Active
Facts as of .
What does HiddenLayer do?
Scans ML model files for tampering before they deploy, then watches them at runtime — the AISec Platform pairs a Model Scanner with AI detection and response. It ships as SaaS, self-hosted, API/CI-CD; agentless and model-agnostic, and it's built for enterprises needing model file scanning plus non-invasive runtime detection across GenAI, predictive ML and agentic systems. It's a weaker fit for teams wanting only a lightweight inline prompt firewall or open-source tooling.
Which OWASP LLM Top 10 risks does HiddenLayer cover?
HiddenLayer's strongest verdict is LLM01Prompt Injection. The two tables below come from our editorial read of HiddenLayer's public documentation as of (it's what the docs support, not a hands-on lab test), and this row also sits in the full matrix across all 21 vendors.
| OWASP LLM Risk | What it is | HiddenLayer coverage | How it's addressed | Source |
|---|---|---|---|---|
| LLM01 Prompt Injection | User or hidden input overrides the model's rules or intended behavior. | Covered | AIDR runtime guardrails enforce policies that prevent prompt injection and unsafe behavior in real time. | https://www.hiddenlayer.com/aisec-platform/ |
| LLM02 Sensitive Information Disclosure | The model leaks secrets, personal data, or proprietary content in its output. | Covered | Runtime guardrails block sensitive data leakage; platform protects proprietary models, fine-tunes and datasets from exposure. | https://www.hiddenlayer.com/aisec-platform/ |
| LLM03 Supply Chain | Compromised models, datasets, plugins, or dependencies add risk before runtime. | Covered | Model Scanner scans for malicious models, backdoored weights and vulnerable dependencies before deployment. | https://hiddenlayer.com/model-scanner/ |
| LLM04 Data and Model Poisoning | Tampered training or fine-tuning data corrupts how the model behaves. | Partial | Detects backdoored/tampered model weights via scanning; training-data poisoning of live pipelines less explicitly addressed. | https://hiddenlayer.com/model-scanner/ |
| LLM05 Improper Output Handling | Downstream systems trust model output without checking it, enabling injection or code execution. | Partial | AIDR / AI Runtime Security module inspects prompts and responses in real time and can block or redact unsafe/malicious model output before it reaches downstream systems (documented via LiteLLM integration and guardrails solution page), but not framed as a dedicated 'output handling/sanitization' feature. | https://www.hiddenlayer.com/solutions/ai-guardrails |
| LLM06 Excessive Agency | An agent holds more permissions, tools, or autonomy than the task needs. | Partial | Dedicated protections for autonomous agents and MCP-based systems, incl. preventing unauthorized tool usage. | https://www.hiddenlayer.com/aisec-platform/ |
| LLM07 System Prompt Leakage | The system prompt or the secrets inside it get exposed to users. | Partial | AIDR detects sensitive-data extraction and adversarial prompt techniques; explicit system-prompt-leakage control not separately documented. | https://docs.hiddenlayer.ai/docs/products/console/aidr_genai_sandbox |
| LLM08 Vector and Embedding Weaknesses | Flaws in RAG stores let attackers poison, extract, or infer data. | Partial | AIDR discovers RAG corpora and checks data pipelines for poisoning/PII, and platform documentation states AI supply-chain coverage includes vector databases; no dedicated embedding-inversion/embedding-security control detailed. | https://www.hiddenlayer.com/insight/integrating-ai-security-into-the-sdlc |
| LLM09 Misinformation | The model produces false or fabricated content that users act on. | Not covered | No dedicated hallucination/misinformation detection feature found across AIDR platform pages; closest adjacent feature is 'Refusal Detection' which addresses guardrail-bypass/jailbreak detection, not hallucination. | https://hiddenlayer.com/aidr/ |
| LLM10 Unbounded Consumption | Uncontrolled requests drive cost, denial of service, or model extraction. | Partial | Prevents model extraction/theft (mapped to Unbounded Consumption); explicit rate/DoS controls not documented. | https://www.hiddenlayer.com/aisec-platform/ |
| ATLAS Technique (ID) | Tactic | HiddenLayer coverage | Notes | Source |
|---|---|---|---|---|
| LLM Prompt Injection (AML.T0051) | Initial Access / Execution | Covered | AIDR guardrails detect and block prompt injection at runtime. | https://docs.hiddenlayer.ai/docs/products/console/aidr_genai_sandbox |
| LLM Jailbreak (AML.T0054) | Privilege Escalation / Defense Evasion | Covered | AIDR LLM Sandbox flags jailbreak tactics via MITRE ATLAS mapping in the console. | https://docs.hiddenlayer.ai/docs/products/console/aidr_genai_sandbox |
| LLM Data Leakage (AML.T0057) | Exfiltration | Covered | Runtime detection of sensitive-data extraction via inference interactions. | https://www.hiddenlayer.com/aisec-platform/ |
| ML Supply Chain Compromise (AML.T0010) | Initial Access | Covered | Model Scanner detects malicious/backdoored models and vulnerable dependencies. | https://hiddenlayer.com/model-scanner/ |
| Backdoor ML Model (AML.T0018) | Persistence | Covered | Scanning identifies backdoored weights and tampered artifacts. | https://hiddenlayer.com/model-scanner/ |
| Exfiltration via ML Inference API (AML.T0024) | Exfiltration | Partial | Model theft/extraction protection maps to inference-API exfiltration. | https://www.hiddenlayer.com/aisec-platform/ |
| Craft Adversarial Data (AML.T0043) | ML Attack Staging | Partial | Automated attack simulation/red teaming continuously probes with adversarial inputs. | https://www.hiddenlayer.com/aisec-platform/ |
Is HiddenLayer independent, and how is it funded?
HiddenLayer is an independent company as of . It has raised $56M to date, most recently a Series A ($50M) dated 2023-09. Lead investors: M12 (Microsoft's Venture Fund), Moore Strategic Ventures.
HiddenLayer alternatives
The closest alternatives we track in AI-SPM / Runtime Protection are Apiiro, Cranium, Noma Security.
Frequently asked questions
What is HiddenLayer used for?
HiddenLayer is an AI-SPM / Runtime Protection vendor. Its flagship product is HiddenLayer AISec Platform (AI Discovery, Model Scanner, AIDR runtime, Automated Red Teaming). It ships as SaaS, self-hosted, API/CI-CD; agentless and model-agnostic, and it's built for enterprises needing model file scanning plus non-invasive runtime detection across GenAI, predictive ML and agentic systems.
Is HiddenLayer independent or acquired?
HiddenLayer is an independent company as of 2026-07-13 and has not been acquired.
How many OWASP LLM Top 10 risks does HiddenLayer cover?
We score HiddenLayer as Covered on 3 of the ten OWASP LLM Top 10 (2025) risks, with 6 more Partial, as of 2026-07-13. The table on this page breaks down every risk, including the ones marked Not covered or Unverified.
How is HiddenLayer deployed?
HiddenLayer ships as SaaS, self-hosted, API/CI-CD; agentless and model-agnostic.
What are the best alternatives to HiddenLayer?
The closest AI-SPM / Runtime Protection alternatives llmthreat tracks are Apiiro, Cranium, Noma Security.