Best Lakera Alternatives ranked by AI · updated Aug 2026

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Lakera provides security and safety controls for generative AI applications, including prompt-injection and sensitive-data protection. It is aimed at enterprises that need real-time guardrails and monitoring for production LLM systems.

Developer: Lakera Price: Custom pricing 🎯 lakera.ai

Top 6 Lakera alternatives

1 Protective.ai logo

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
2 Robust Intelligence logo

Robust Intelligence

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
3 zerobloks logo

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
4 NeuralTrust.ai logo

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
5

Protect AI

Protect AI

Protect AI is an AI and machine-learning security platform covering models, supply chains, applications, and deployment infrastructure. It serves security and machine-learning...

Pros

  • Covers model supply-chain and infrastructure risks beyond prompt safety
  • Includes open-source tools such as ModelScan for model artifact scanning
  • Strong fit for security teams managing enterprise ML estates

Cons

  • Can be more infrastructure-focused than NeuralTrust
  • Requires security and ML engineering expertise to use fully
  • Enterprise platform pricing is not transparent
6

HiddenLayer

HiddenLayer

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

Pros

  • Strong emphasis on AI-specific threat detection and threat intelligence
  • Supports both traditional ML and generative AI security use cases
  • Appropriate for organizations with dedicated security operations teams

Cons

  • Less accessible for small teams than developer-first guardrails tools
  • Public pricing and detailed feature comparisons are limited
  • May require broader security tooling integration than NeuralTrust

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