Keywords AI

HiddenLayer vs Lakera

Compare HiddenLayer and Lakera side by side. Both are tools in the AI Security category.

Quick Comparison

	HiddenLayer	Lakera
Category	AI Security	AI Security
Pricing	—	Freemium
Best For	—	Teams deploying user-facing LLM applications who need protection against prompt injection
Website	hiddenlayer.com	lakera.ai
Key Features	—	Prompt injection detection Content moderation PII detection and masking Real-time threat monitoring API-based security layer
Use Cases	—	Protecting LLM apps from prompt injection Automated content moderation PII detection before data reaches LLMs Compliance monitoring for AI systems Real-time security threat prevention

When to Choose HiddenLayer vs Lakera

Choose Lakera if you need

Protecting LLM apps from prompt injection
Automated content moderation
PII detection before data reaches LLMs

Pricing: Freemium

How to Choose a AI Security Tool

Key criteria to evaluate when comparing AI Security solutions:

Threat coverageProtection against prompt injection, jailbreaks, data leakage, and other LLM-specific attacks.

Latency impactProcessing overhead added to each request — critical for real-time applications.

CustomizationAbility to define custom security policies and content rules for your domain.

Compliance supportBuilt-in PII detection, data residency controls, and audit logging for regulatory requirements.

About HiddenLayer

HiddenLayer provides AI security solutions that protect machine learning models from adversarial attacks, model evasion, and tampering. Its platform detects and prevents attacks targeting AI systems in real-time, offering model integrity verification and threat intelligence specifically designed for AI/ML workloads.

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About Lakera

Lakera provides real-time AI security that protects LLM applications from prompt injection, jailbreaks, data leakage, and toxic content. Lakera Guard is a low-latency API that scans inputs and outputs to detect and block attacks before they reach the model. The platform defends against the OWASP Top 10 for LLMs and is used by enterprises to secure customer-facing AI applications.

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What is AI Security?

Platforms focused on securing AI systems—prompt injection defense, content moderation, PII detection, guardrails, and compliance for LLM applications.

Browse all AI Security tools →

Frequently Asked Questions

What are the main security risks with LLM applications?▾

The primary risks are prompt injection, data leakage, jailbreaking, and hallucination. Each requires different mitigation strategies.

Do I need a dedicated AI security tool?▾

If your LLM application handles sensitive data or is user-facing, yes. Basic input validation is not enough — LLM attacks are sophisticated and evolving. Dedicated tools stay updated against new attack vectors and provide defense-in-depth.