--- title: "agentic_security vs PROMPTPurify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/msoedov-agentic-security-vs-securelayer7-promptpurify" tools: ["msoedov-agentic-security", "securelayer7-promptpurify"] --- # agentic_security vs PROMPTPurify *GraphCanon updated Aug 9, 2026* ## Verdict Pick agentic_security if agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing; pick PROMPTPurify if pROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. [agentic_security](https://agentic-security.vercel.app) reports 1.9k GitHub stars, 270 forks, and 70 open issues, last pushed Jun 23, 2026. [PROMPTPurify](https://anton.securelayer7.net) has 75 stars, 20 forks, and 0 open issues, last pushed May 31, 2026. Figures are from public GitHub metadata via [agentic_security's repository](https://github.com/msoedov/agentic_security) and [PROMPTPurify's repository](https://github.com/securelayer7/PROMPTPurify). | | [agentic_security](/tools/msoedov-agentic-security.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | | --- | --- | --- | | Tagline | Agentic LLM Vulnerability Scanner / AI red teaming kit | Prompt-injection guardrail for LLM applications | | Stars | 1,943 | 75 | | Forks | 270 | 20 | | Open issues | 70 | 0 | | Language | Python | TypeScript | | Adopt for | Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. | PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. | MIT | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic_security](/tools/msoedov-agentic-security.md) | [PROMPTPurify](/tools/securelayer7-promptpurify.md) | | --- | --- | --- | | Days since push | 35d | 70d | | Open issues (now) | 70 | 0 | | Owner type | User | Organization | | Full report | [trust report](/tools/msoedov-agentic-security/trust.md) | [trust report](/tools/securelayer7-promptpurify/trust.md) | ## Decision facts: agentic_security - **Adopt for:** Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. - **License detail:** Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. ## Decision facts: PROMPTPurify - **Pricing:** freemium - The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup. - **Requirements:** - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration. - **Adopt for:** PROMPTPurify, licensed under MIT, provides an ai-safety solution with a focus on jailbreak-detection and prompt-injection-protection for LLM applications without relying on regex or signatures. ## Choose when ### Choose agentic_security if… - agentic_security is primarily Python; PROMPTPurify is TypeScript. - License: agentic_security is Apache-2.0, PROMPTPurify is MIT. - Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming. - agentic_security ships Docker support for self-hosted deployment. - Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### Choose PROMPTPurify if… - PROMPTPurify is primarily TypeScript; agentic_security is Python. - License: PROMPTPurify is MIT, agentic_security is Apache-2.0. - Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.. - Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.. - Tags unique to PROMPTPurify: ai safety, ai-firewall, ai-security, application-security. - - When you require compact model solutions that outperform larger open-source guards. ## When NOT to use agentic_security - Teams require solutions that do not involve agent frameworks for vulnerability scanning. - Projects seek a no-fuzz-testing approach for evaluating LLM security. ## When NOT to use PROMPTPurify - - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection. ## Common questions ### What is the difference between agentic_security and PROMPTPurify? agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. PROMPTPurify: Prompt-injection guardrail for LLM applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic_security over PROMPTPurify? Choose agentic_security over PROMPTPurify when agentic_security is primarily Python; PROMPTPurify is TypeScript; License: agentic_security is Apache-2.0, PROMPTPurify is MIT; Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming; agentic_security ships Docker support for self-hosted deployment; Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### When should I choose PROMPTPurify over agentic_security? Choose PROMPTPurify over agentic_security when PROMPTPurify is primarily TypeScript; agentic_security is Python; License: PROMPTPurify is MIT, agentic_security is Apache-2.0; Pricing: The SDK and model weights of PROMPTPurify come under the MIT license, allowing free usage. However, the full extent of features or services might require a premium setup.; Requirements: - This tool is built with TypeScript.; - Ensure familiarity with TypeScript for efficient integration.; Tags unique to PROMPTPurify: ai safety, ai-firewall, ai-security, application-security; - When you require compact model solutions that outperform larger open-source guards. ### When should I avoid agentic_security? Teams require solutions that do not involve agent frameworks for vulnerability scanning. Projects seek a no-fuzz-testing approach for evaluating LLM security. ### When should I avoid PROMPTPurify? - Avoid using PROMPTPurify if your project requires regex or signature-based methods for security purposes, as this tool does not support them. - Do not use it if you are looking for comprehensive AI-security solutions that extend beyond prompt injection and jailbreak detection. ### Is agentic_security or PROMPTPurify more popular on GitHub? agentic_security has more GitHub stars (1,943 vs 75). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic_security and PROMPTPurify open source? Yes - both are open-source projects on GitHub (agentic_security: Apache-2.0, PROMPTPurify: MIT). ### Where can I find alternatives to agentic_security or PROMPTPurify? GraphCanon lists graph-backed alternatives at [agentic_security alternatives](/tools/msoedov-agentic-security/alternatives) and [PROMPTPurify alternatives](/tools/securelayer7-promptpurify/alternatives) ([agentic_security markdown twin](/tools/msoedov-agentic-security/alternatives.md), [PROMPTPurify markdown twin](/tools/securelayer7-promptpurify/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/msoedov-agentic-security-vs-securelayer7-promptpurify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic_security or PROMPTPurify? agentic_security: Steady. PROMPTPurify: Steady. 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 agentic_security and PROMPTPurify? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic_security trust report](/tools/msoedov-agentic-security/trust); [PROMPTPurify trust report](/tools/securelayer7-promptpurify/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=msoedov-agentic-security`](/api/graphcanon/graph?tool=msoedov-agentic-security) - 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/_