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Best zerobloks Alternatives ranked by AI · updated Aug 2026

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ZeroBloks is an enterprise AI security platform for discovering, monitoring, and protecting generative AI applications and usage. It helps security teams manage risks involving sensitive data, model behavior, prompts, and AI-powered workflows.

Developer: ZeroBloks Price: Custom pricing 🎯 zerobloks.com

Top 6 zerobloks alternatives

1

Lakera

Lakera

πŸ’‘ Pick Lakera for focused runtime guardrails against prompt injection and unsafe LLM interactions.

Lakera provides security and safety controls for generative AI applications, including prompt-injection and sensitive-data protection. It is aimed at enterprises that need...

Pros

  • Strong focus on real-time prompt-injection and jailbreak detection
  • Well suited to production API and agent deployments
  • Offers policy enforcement and visibility alongside threat detection

Cons

  • Enterprise pricing is not publicly listed
  • Less suitable for teams primarily seeking open-source customization
  • May require integration work across complex application architectures
2

HiddenLayer

HiddenLayer

πŸ’‘ Choose HiddenLayer when you need model lifecycle security and protection for proprietary AI systems.

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
3

Protect AI

Protect AI

πŸ’‘ Pick Protect AI for securing model repositories, ML pipelines, and the AI software supply chain.

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
4 Robust Intelligence logo

Robust Intelligence

Robust Intelligence

πŸ’‘ Choose Robust Intelligence for automated adversarial testing and model reliability validation.

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
5

CalypsoAI

CalypsoAI

πŸ’‘ Pick CalypsoAI for enterprise governance, access controls, and oversight of employee AI usage.

CalypsoAI is an enterprise platform for securing, monitoring, and governing generative AI applications and workflows. It serves organizations that need policy controls,...

Pros

  • Combines AI governance, monitoring, and security for enterprise deployments
  • Supports controlled adoption of generative AI across business teams
  • Suitable for regulated or security-sensitive organizations

Cons

  • Enterprise implementation can be heavier than developer-first alternatives
  • Pricing and detailed packaging are not publicly available
  • May overlap with existing governance and security platforms
6

Prompt Security

Prompt Security

πŸ’‘ Choose Prompt Security for monitoring employee AI use and preventing sensitive data leakage through prompts.

Prompt Security provides security controls for generative AI use in organizations, including protection against prompt injection, data leakage, and unsafe employee or...

Pros

  • Focuses specifically on protecting enterprise use of generative AI
  • Addresses data leakage and shadow-AI risks in addition to prompt attacks
  • Useful for security teams seeking policy enforcement across AI usage

Cons

  • Narrower product scope than NeuralTrust's broader trust and testing approach
  • Custom pricing makes small-team evaluation harder
  • May be less useful for teams building rather than governing AI usage

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