HiddenLayer AI Guardrails
HiddenLayer AI Guardrails: A focused API guardrails layer for teams protecting LLM and agent traffic. Ranked #20 of 30 in LLM Security Tools by our editors (7.3/10); pricing: Pricing on request; best for API teams needing inline safety controls.
At a glance
- Editor score7.3 / 10
- PricingPricing on request
- Best forAPI teams needing inline safety controls
- Prompt injection defenseYes
- Founded2022 · Austin, Texas
- Facts checked21 Sep 2026
Where it wins
- Blocks prompt injection and detects model abuse at runtime
- Redacts PII and protected information inline
- Inspects MCP, framework traffic, agent actions, and tool use
Where it doesn't
- Verified platform coverage is limited to API access
- Integration coverage is limited to OpenAI, AWS Bedrock, MCP, SIEM, and SOAR
- Contact-sales pricing provides no published plan comparison
Our verdict on HiddenLayer AI Guardrails
HiddenLayer AI Guardrails applies safety, compliance, and policy controls across LLMs, agents, and AI applications. It is designed for API teams that need inline enforcement rather than a standalone monitoring layer. Its feature set covers output safety, content controls, policy-driven response shaping, prompt-injection detection and blocking, PII and protected-information detection, secrets detection, and model-abuse detection. The product is especially relevant to enterprises managing generative and agentic applications that need consistent behavior and reduced data leakage.
The strongest fit is its breadth of inline controls across both model responses and agent activity. Runtime threat detection, inline blocking and redaction, MCP and framework traffic inspection, and agent action and tool-use inspection extend protection beyond basic output filtering. Coverage includes OpenAI, AWS Bedrock, and MCP-based systems, with SIEM and SOAR integrations for operational workflows. Teams already standardizing around these platforms can evaluate AI Guardrails as a focused enforcement layer for API traffic.
Pricing follows a contact-sales model, with access discussed through a demo rather than published plan tiers. That approach may suit enterprise buying processes, but it offers less immediate clarity for teams comparing packaged tools. The main boundary is platform reach: verified coverage centers on API access, and the integration list is short. Choose AI Guardrails when prompt-injection defense, sensitive-data redaction, output controls, runtime detection, and agent inspection are the priority. Teams needing broader platform coverage or a wider ecosystem of integrations should consider alternatives with a larger stated footprint.
HiddenLayer AI Guardrails pricing
HiddenLayer AI Guardrails fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Prompt injection defense | Yes |
| PII redaction | Yes |
| Secrets detection | Yes |
| Output guardrails | Yes |
| Model-abuse detection | Yes |
| Deployment model | Not verified |
| Compliance & security | SOC 2 |
| Built for | Enterprise (editorial estimate) |
| Integrations | 5 integrations: OpenAI, AWS Bedrock, MCP, SIEM, SOAR |
| Pricing | Pricing on request |
| Website | hiddenlayer.com |
| Facts checked | 21 Sep 2026 |
HiddenLayer AI Guardrails integrations
HiddenLayer AI Guardrails lists 5 integrations on its own site.
- OpenAI
- AWS Bedrock
- MCP
- SIEM
- SOAR
Alternatives to HiddenLayer AI Guardrails
- Guardrails AIA broad open-source toolkit for runtime LLM validation, policy enforcement, and risk detection.9.3
- LLM GuardA self-hosted toolkit for scanning prompts, outputs, PII, secrets, and LLM risks.9.2
- NVIDIA NeMo GuardrailsA broad, self-hosted toolkit for controlling inputs, outputs, tools, and AI-agent behavior.9.1
See all HiddenLayer AI Guardrails alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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