Best HiddenLayer Alternatives ranked by AI · updated Aug 2026

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HiddenLayer provides security and threat detection for machine-learning and generative AI systems. Its platform targets enterprise security teams with model protection, AI threat intelligence, runtime monitoring, and attack detection.

Developer: HiddenLayer Price: Custom pricing 🎯 hiddenlayer.com

LLM Security ai governance ai security guardrails red teaming

Top 6 HiddenLayer alternatives

fenced.ai

Fenced

Fenced is an AI security platform designed to protect enterprise applications using large language models. It helps detect prompt injection, sensitive-data leakage,...

Pros

Focused specifically on securing AI applications rather than general application security
Targets prompt injection and data leakage risks in model interactions
Designed for enterprise deployment and monitoring

Cons

Less established publicly than Lakera or HiddenLayer
Pricing and deployment details are not publicly clear
May require security engineering expertise to configure effectively

N/A

Alternatives to fenced.ai → Visit site

Protective.ai

Protective AI

Protective AI is an AI security platform designed to help organizations monitor and protect generative AI applications and models. It targets security,...

Pros

Designed specifically for securing generative AI applications
Addresses both security monitoring and policy enforcement
More focused on AI risks than traditional web application security tools

Cons

Public pricing and detailed product information are limited
May require enterprise security and engineering resources to deploy
Smaller ecosystem than established cybersecurity vendors

N/A

Alternatives to Protective.ai → Visit site

Robust Intelligence

Robust Intelligence provides automated security and reliability testing for machine-learning and generative AI systems. Its platform evaluates models for adversarial behavior, vulnerabilities,...

Pros

Strong automated testing for model robustness and adversarial threats
Useful for pre-deployment validation as well as production monitoring
More mature model assurance focus than general-purpose AI security tools

Cons

Less focused on broad AI usage discovery and governance
Can complement rather than replace a full AI security platform
Primarily aimed at larger organizations with dedicated ML teams

Custom pricing

Alternatives to Robust Intelligenc... → Visit site

zerobloks

ZeroBloks

ZeroBloks is an enterprise AI security platform for discovering, monitoring, and protecting generative AI applications and usage. It helps security teams manage...

Pros

Combines AI asset discovery, monitoring, and protection in one platform
Targets enterprise security and governance teams
Addresses risks across prompts, models, data, and AI applications

Cons

Less established than vendors such as HiddenLayer and Lakera
Enterprise-focused rather than suited to individual developers
Public pricing and product details are limited

Custom pricing

Alternatives to zerobloks → Visit site

Qualifire Pro

Qualifire

Qualifire is an AI security and safety platform for organizations deploying generative AI applications. It focuses on detecting and preventing risks such...

Pros

Combines AI security monitoring with runtime protection capabilities
Targets enterprise teams managing production generative AI systems
Focuses on adversarial and safety risks beyond basic content filtering

Cons

Public pricing and product-tier details are limited
Less established ecosystem than major AI infrastructure vendors
May require security and engineering expertise to configure effectively

N/A

Alternatives to Qualifire Pro → Visit site

NeuralTrust.ai

NeuralTrust

NeuralTrust is an AI trust and safety platform for organizations deploying generative AI applications and agents. It provides model and application monitoring,...

Pros

Combines AI security, governance, monitoring, and testing in one platform
Supports controls for prompt injection, sensitive data, and unsafe model behavior
Designed for enterprise teams managing multiple AI applications

Cons

Pricing and feature limits are not publicly documented
More complex to deploy than a focused open-source guardrails library
May offer less ecosystem maturity than larger AI security vendors

Custom pricing

Alternatives to NeuralTrust.ai → Visit site

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