LangProtect vs HiddenLayer
Compare runtime AI security, AI guardrails, agent protection, threat detection, and real-time enforcement.
How They Differ
See how LangProtect and HiddenLayer differ in their approach to securing AI applications, agents, models, and AI interactions.
LangProtect
Enterprise AI Security Platform
Unified security, governance, and runtime protection for AI applications, agents, and workforce AI.
HiddenLayer
AI Security Platform
Secures the AI lifecycle with discovery, supply chain security, attack simulation, runtime protection, and AI guardrails.
Who Should Choose Which?
Understand which platform fits your AI security priorities, from runtime protection and workforce governance to AI discovery, supply chain security, and attack simulation.
Choose LangProtect if you need
- Purpose-built AI security across applications, agents, and workforce AI.
- Runtime protection for prompts, responses, tools, and AI interactions.
- Custom AI security controls with 30+ scanners and a Custom Scanner Builder.
- Centralized governance across AI applications, agents, and employee AI usage.
Choose HiddenLayer if you need
- AI asset discovery across models, applications, agents, and infrastructure.
- AI supply chain security for models, dependencies, and third-party AI components.
- AI attack simulation and continuous adversarial testing.
- AI lifecycle security spanning discovery, testing, deployment, and runtime protection.
Choose both if you need
- AI lifecycle security + runtime enforcement across the organization.
- Model and supply chain protection alongside prompt, response, and agent security.
- Coverage across AI applications, models, agents, and workforce AI.
What Each Platform Does
LangProtect and HiddenLayer cover similar AI security areas, but differ in their approach to runtime protection, testing, discovery, and AI lifecycle security.
| Capability | LangProtect | HiddenLayer | Advantage |
|---|---|---|---|
| Runtime AI Security | Dedicated AI Firewall for real-time inspection, detection, and enforcement | Runtime visibility, threat detection, and inline enforcement across AI applications and agents | Tie |
| Custom Security Scanners | 30+ scanners plus Custom Scanner Builder | Configurable security policies and AI threat detection | LangProtect |
| AI Agent Security | Runtime protection for agents, workflows, and tool interactions | Agent runtime visibility, threat detection, investigation, and enforcement | Tie |
| MCP Security | MCP monitoring, policy controls, and runtime protection | MCP traffic inspection, prompt injection detection, and unsafe-action protection | Tie |
| AI Security Testing | AI security testing and red teaming capabilities | Automated attack simulation, continuous testing, and adversarial threat simulation | HiddenLayer |
| AI Security Specialization | AI security, governance, and runtime protection are the core platform focus | Purpose-built platform covering the full AI security lifecycle | Tie |
| Industry-Specific AI Policies | Industry-specific AI security templates and controls | Policy-driven AI security and compliance controls | LangProtect |
What It Takes to Secure Each One
Both platforms provide broad AI security, but their deployment and operational models reflect their different foundations.
LangProtect
Purpose-built AI security platform combining runtime protection, AI governance, workforce AI security, agent security, MCP security, and centralized analytics.
HiddenLayer
AI security platform spanning AI discovery, supply chain security, attack simulation, runtime protection, and AI guardrails.
TIME TO FIRST VALUE
Hours
Hours to Days, depending on the AI environments, integrations, and security capabilities being enabled.
WHAT IT MUST CHANGE
- Connect AI applications through the AI Firewall or APIs.
- Deploy browser and/or desktop protection for workforce AI.
- Configure AI security policies from the centralized platform.
- Connect AI environments and applications to HiddenLayer.
- Integrate runtime traffic and relevant AI infrastructure.
- Configure discovery, detection, testing, and enforcement policies.
PREREQUISITES
- Identity provider / SSO access.
- AI application or browser deployment.
- Administrator access for policy configuration.
- Access to relevant AI environments and infrastructure.
- AI application, model, or runtime integrations where required.
- Administrator access for security configuration.
What Your Security Review Will Ask
For enterprise security teams, the key question is whether the platform provides dedicated AI security across runtime protection, testing, governance, and AI-specific controls.
| Security Requirement | LangProtect | HiddenLayer |
|---|---|---|
| AI Application Security | Yes | Yes |
| AI Threat Detection & Prevention | Yes | Yes |
| AI Security Testing & Red Teaming | Yes | Yes |
| AI Agent Security | Yes | Yes |
| Workforce AI Security | Yes | No |
| Custom AI Security Scanners | Yes | No |
| Custom Scanner Builder | Yes | No |
| Industry-Specific AI Security Controls | Yes | No |
Frequently Asked Questions
One Platform for Enterprise AI Security
Protect AI applications, agents, and workforce AI with centralized runtime security, governance, and customizable controls.
