Best Prompt Injection Detection Tools in 2026
The prompt injection detection landscape has grown significantly over the past year. If you are building an LLM-powered application, you have several options for protecting it. Here is a breakdown of the leading tools in 2026.
1. Bordair
Type: Managed API
Modalities: Text, image, document, audio
Latency: Under 50ms
Pricing: Free tier (1,000 scans/month), paid plans from affordable tiers
Bordair uses a three-stage detection pipeline combining pattern matching, a fast-accept gate, and a fine-tuned DeBERTa v3 classifier. It is the only tool on this list with native multimodal support across all four input types. Output scanning with custom regex rules is available on paid plans.
Best for: Teams that need multimodal detection with minimal integration effort.
2. Lakera Guard
Type: Managed API
Modalities: Primarily text
Latency: Varies
Pricing: Enterprise-focused
Lakera Guard is one of the more established products, backed by significant funding. It focuses on text-based prompt injection and jailbreak detection. Enterprise pricing and sales-driven onboarding.
Best for: Enterprise teams with existing Lakera contracts.
3. Meta PromptGuard
Type: Open-source model
Modalities: Text only
Latency: Depends on your infrastructure
Pricing: Free (MIT licence)
A fine-tuned mDeBERTa model from Meta. Good baseline performance but requires self-hosting, and you are responsible for infrastructure, scaling, and updates. Text-only.
Best for: Teams with ML engineering resources who want full model control.
4. Rebuff
Type: Open-source framework
Modalities: Text only
Latency: 1-3 seconds (LLM-in-the-loop)
Pricing: Free (open source)
Multi-layered approach using heuristics, LLM classification, vector similarity, and canary tokens. The LLM dependency adds latency and cost, and creates a recursive attack surface.
Best for: Research and experimentation with detection approaches.
5. Vigil
Type: Open-source scanner
Modalities: Text only
Latency: 100-500ms (self-hosted)
Pricing: Free (open source)
Self-hosted Python service with YARA-like rules, vector similarity, and transformer classification. Customisable but requires infrastructure management.
Best for: Teams who want deep control over detection rules.
Summary
| Tool | Multimodal | Managed | Latency | Output Scanning |
|---|---|---|---|---|
| Bordair | Yes (4 modalities) | Yes | <50ms | Yes |
| Lakera Guard | Limited | Yes | Varies | Limited |
| PromptGuard | No | No | Varies | No |
| Rebuff | No | No | 1-3s | No |
| Vigil | No | No | 100-500ms | No |
If multimodal detection, low latency, and ease of integration are priorities, give Bordair a try.
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