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Make any LLM find vulnerabilties & bugs

Make any LLM find vulnerabilties & bugs

Works on 120b, 20b and even 8b models

0upvotes
Launched August 10, 2026

About Make any LLM find vulnerabilties & bugs

Make any LLM find vulnerabilities and bugs with unprecedented accuracy. This innovative tool leverages RedMirror Reflection to enhance even small language models, transforming them from unreliable bug finders into precise diagnostic tools. By guiding models to identify hidden issues and exhaustively exploring reachable states, it uncovers the exact attack path or confirms safety, all without token costs. Its ability to match larger models’ performance at a fraction of the resource expense—achieving 96% recall on the OpenSSF benchmark with a 20B model—is a game-changer for developers and security researchers. The intuitive interface and cost-effective pricing make it accessible for teams aiming to improve AI safety, robustness, and security. Whether you're testing model vulnerabilities or auditing AI systems, this tool offers a powerful, scalable solution that bridges the gap between small models’ limitations and the need for reliable bug detection.

Screenshots

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Pros

  • High accuracy in bug detection across various model sizes
  • Cost-efficient, with zero token search costs
  • Guides models to reveal hidden vulnerabilities effectively
  • Supports multiple model sizes (8B, 20B, 120B)
  • Easy to integrate with a simple command-line interface

Cons

  • Relatively new with limited user feedback and reviews
  • May require technical expertise to optimize usage
  • Pricing details are brief; long-term costs unclear

Use Cases

1Security testing and vulnerability analysis of language models
2Auditing AI systems for robustness against adversarial attacks
3Improving model safety by identifying and fixing bugs
4Research and development in AI safety and reliability
5Pre-deployment testing of custom AI applications
6Benchmarking model resilience across different architectures

Pricing

Likely a subscription-based model starting with a free trial or initial free month, followed by a $10/seat monthly fee. The pricing emphasizes accessibility for teams and individual researchers, with no token costs for the search process.

Quick Info

Upvotes0
Comments1
Launched8/10/2026

Topics

Developer ToolsArtificial IntelligenceTech

Makers

Lokhesh Ujhoodha

Lokhesh Ujhoodha

Alternatives

OpenAI's API with safety and robustness testing features
AI Security tools like Google's Model Vulnerability Scanner
Hugging Face's model evaluation and debugging tools
Adversarial testing frameworks such as TextAttack
Custom security testing scripts for language models
View all Make any LLM find vulnerabilties & bugs alternatives →

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