--- title: "vigil-llm vs jailbreakbench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deadbits-vigil-llm-vs-jailbreakbench-jailbreakbench" tools: ["deadbits-vigil-llm", "jailbreakbench-jailbreakbench"] --- # vigil-llm vs jailbreakbench *GraphCanon updated Jul 12, 2026* ## Verdict Pick vigil-llm if vigil-LLM is specifically designed for detecting prompt injections and jailbreaks in LLM inputs, offering unique capabilities not found in all security tools; pick jailbreakbench if jailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. [vigil-llm](https://vigil.deadbits.ai/) reports 489 GitHub stars, 55 forks, and 16 open issues, last pushed Jan 31, 2024. [jailbreakbench](https://jailbreakbench.github.io) has 626 stars, 74 forks, and 11 open issues, last pushed Apr 4, 2025. Figures are from public GitHub metadata via [vigil-llm's repository](https://github.com/deadbits/vigil-llm) and [jailbreakbench's repository](https://github.com/JailbreakBench/jailbreakbench). | | [vigil-llm](/tools/deadbits-vigil-llm.md) | [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) | | --- | --- | --- | | Tagline | ⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs | An Open Robustness Benchmark for Jailbreaking Language Models | | Stars | 489 | 626 | | Forks | 55 | 74 | | Open issues | 16 | 11 | | Language | Python | Python | | Adopt for | Vigil-LLM is specifically designed for detecting prompt injections and jailbreaks in LLM inputs, offering unique capabilities not found in all security tools. | JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability, LLM Frameworks, Vector Databases | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vigil-llm](/tools/deadbits-vigil-llm.md) | [jailbreakbench](/tools/jailbreakbench-jailbreakbench.md) | | --- | --- | --- | | Days since push | 891d | 463d | | Open issues (now) | 16 | 11 | | Owner type | User | Organization | | Full report | [trust report](/tools/deadbits-vigil-llm/trust.md) | [trust report](/tools/jailbreakbench-jailbreakbench/trust.md) | ## Decision facts: vigil-llm - **Pricing:** freemium - Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage. - **Requirements:** Min 4 GB RAM - **Adopt for:** Vigil-LLM is specifically designed for detecting prompt injections and jailbreaks in LLM inputs, offering unique capabilities not found in all security tools. ## Decision facts: jailbreakbench - **Adopt for:** JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. ## Choose when ### Choose vigil-llm if… - License: vigil-llm is Apache-2.0, jailbreakbench is MIT. - Pricing: Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage.. - Requirements: Min 4 GB RAM. - Tags unique to vigil-llm: adversarial-attacks, adversarial-machine-learning, large-language-models, llm-security. - Also covers LLM Frameworks, Vector Databases. - When integrating large language models into applications that need robust protection against prompt injection attacks. ### Choose jailbreakbench if… - License: jailbreakbench is MIT, vigil-llm is Apache-2.0. - Tags unique to jailbreakbench: jailbreaking, language-models, neurips-2024-datasets-and-benchmarks-tra, robustness-benchmark. - JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. ## When NOT to use vigil-llm - If the focus of security efforts is solely on data breaches and not specifically on securing against adversarial machine learning techniques like prompt injections or jailbreaks. - When your environment is set up without Python or YARA v4.3.2, as these are prerequisites for using Vigil-LLM effectively. ## When NOT to use jailbreakbench - Last GitHub push was 464 days ago (dormant maintenance, Apr 4, 2025). Validate activity before betting a new project on jailbreakbench. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between vigil-llm and jailbreakbench? vigil-llm: ⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs. jailbreakbench: An Open Robustness Benchmark for Jailbreaking Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose vigil-llm over jailbreakbench? Choose vigil-llm over jailbreakbench when License: vigil-llm is Apache-2.0, jailbreakbench is MIT; Pricing: Vigil-LLM is open-source under the Apache License 2.0 and freely available to download. However, additional support or services may be offered on a paid basis depending on the context of usage.; Requirements: Min 4 GB RAM; Tags unique to vigil-llm: adversarial-attacks, adversarial-machine-learning, large-language-models, llm-security; Also covers LLM Frameworks, Vector Databases; When integrating large language models into applications that need robust protection against prompt injection attacks. ### When should I choose jailbreakbench over vigil-llm? Choose jailbreakbench over vigil-llm when License: jailbreakbench is MIT, vigil-llm is Apache-2.0; Tags unique to jailbreakbench: jailbreaking, language-models, neurips-2024-datasets-and-benchmarks-tra, robustness-benchmark; JailbreakBench is an open robustness benchmark specifically designed to evaluate language models against jailbreaking attacks. It aims to quantify the resilience of language models under adversarial conditions. ### When should I avoid vigil-llm? If the focus of security efforts is solely on data breaches and not specifically on securing against adversarial machine learning techniques like prompt injections or jailbreaks. When your environment is set up without Python or YARA v4.3.2, as these are prerequisites for using Vigil-LLM effectively. ### When should I avoid jailbreakbench? Last GitHub push was 464 days ago (dormant maintenance, Apr 4, 2025). Validate activity before betting a new project on jailbreakbench. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is vigil-llm or jailbreakbench more popular on GitHub? jailbreakbench has more GitHub stars (626 vs 489). Stars measure visibility, not whether either tool fits your constraints. ### Are vigil-llm and jailbreakbench open source? Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, jailbreakbench: MIT). ### Where can I find alternatives to vigil-llm or jailbreakbench? GraphCanon lists graph-backed alternatives at [vigil-llm alternatives](/tools/deadbits-vigil-llm/alternatives) and [jailbreakbench alternatives](/tools/jailbreakbench-jailbreakbench/alternatives) ([vigil-llm markdown twin](/tools/deadbits-vigil-llm/alternatives.md), [jailbreakbench markdown twin](/tools/jailbreakbench-jailbreakbench/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/deadbits-vigil-llm-vs-jailbreakbench-jailbreakbench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, vigil-llm or jailbreakbench? vigil-llm: Dormant. jailbreakbench: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for vigil-llm and jailbreakbench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vigil-llm trust report](/tools/deadbits-vigil-llm/trust); [jailbreakbench trust report](/tools/jailbreakbench-jailbreakbench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deadbits-vigil-llm`](/api/graphcanon/graph?tool=deadbits-vigil-llm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_