Best fenced.ai Alternatives ranked by AI · updated Aug 2026

✅ Update queued — the AI is re-ranking this list. The page will refresh shortly.

This page is already up to date.

Fenced is an AI security platform designed to protect enterprise applications using large language models. It helps detect prompt injection, sensitive-data leakage, and unsafe model interactions before they reach users or downstream systems.

Developer: Fenced Price: N/A 🎯 fenced.ai

LLM Security ai security guardrails ai safety

Top 6 fenced.ai alternatives

Lakera Guard

Lakera

💡 Pick it for a more established managed defense against prompt injection and unsafe LLM interactions.

Lakera Guard is an AI security platform that protects generative AI applications from prompt injection, data leakage, and harmful content. It is...

Pros

Strong focus on prompt injection and generative AI threats
Provides APIs and runtime protection for production applications
More specialized in LLM security than traditional content moderation tools

Cons

Enterprise pricing is not publicly transparent
Primarily suited to teams with engineering resources
Coverage can require additional controls for broader AI governance

N/A

Alternatives to Lakera Guard → Visit site

Prompt Security

💡 Choose it when you need enterprise-wide AI visibility and data-loss prevention, not just application-level filtering.

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

Custom pricing

Alternatives to Prompt Security → Visit site

HiddenLayer

💡 Pick it for comprehensive model, supply-chain, and runtime security across a larger AI estate.

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

Custom pricing

Alternatives to HiddenLayer → Visit site

Protect AI

💡 Choose it when model scanning and AI supply-chain security matter as much as runtime LLM protection.

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

Custom pricing

Alternatives to Protect AI → Visit site

NeMo Guardrails

NVIDIA

💡 Pick it for a free, customizable framework when your team can build and operate its own LLM guardrails.

NeMo Guardrails is an open-source framework for adding programmable safety, topic, and conversation controls to LLM applications. It is aimed at developers...