--- title: "agentic_security vs Awesome-LLMSecOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/msoedov-agentic-security-vs-wearetyomsmnv-awesome-llmsecops" tools: ["msoedov-agentic-security", "wearetyomsmnv-awesome-llmsecops"] --- # agentic_security vs Awesome-LLMSecOps *GraphCanon updated Sep 20, 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 Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. [agentic_security](https://agentic-security.vercel.app) reports 2.0k GitHub stars, 289 forks, and 72 open issues, last pushed Sep 11, 2026. [Awesome-LLMSecOps](https://github.com/wearetyomsmnv/Awesome-LLMSecOps) has 155 stars, 76 forks, and 20 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [agentic_security's repository](https://github.com/msoedov/agentic_security) and [Awesome-LLMSecOps's repository](https://github.com/wearetyomsmnv/Awesome-LLMSecOps). | | [agentic_security](/tools/msoedov-agentic-security.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Tagline | Agentic LLM Vulnerability Scanner / AI red teaming kit | Curated security resources for LLM operations | | Stars | 2,004 | 155 | | Forks | 289 | 76 | | Open issues | 72 | 20 | | Language | Python | HTML | | 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. | Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. | - | | Categories | Evaluation & Observability, LLM Frameworks | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic_security](/tools/msoedov-agentic-security.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Days since push | 8d | 19d | | Open issues (now) | 72 | 20 | | Stars delta | +61 (30d) | +5 (30d) | | Open issues delta | +2 (30d) | +9 (30d) | | Full report | [trust report](/tools/msoedov-agentic-security/trust.md) | [trust report](/tools/wearetyomsmnv-awesome-llmsecops/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: Awesome-LLMSecOps - **Adopt for:** Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. ## Choose when ### Choose agentic_security if… - agentic_security is primarily Python; Awesome-LLMSecOps is HTML. - Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming. - Also covers LLM Frameworks. - agentic_security ships Docker support for self-hosted deployment. - Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### Choose Awesome-LLMSecOps if… - Awesome-LLMSecOps is primarily HTML; agentic_security is Python. - Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection. - Also covers AI Agents. - Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation ## 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 Awesome-LLMSecOps - Looking for extensive academic references or ArXiv papers in descriptions - Require real-time interactive tools rather than curated static lists of resources ## Common questions ### What is the difference between agentic_security and Awesome-LLMSecOps? agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic_security over Awesome-LLMSecOps? Choose agentic_security over Awesome-LLMSecOps when agentic_security is primarily Python; Awesome-LLMSecOps is HTML; Tags unique to agentic_security: agent-framework, fuzzing, llm-evaluation, red-teaming; Also covers LLM Frameworks; 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 Awesome-LLMSecOps over agentic_security? Choose Awesome-LLMSecOps over agentic_security when Awesome-LLMSecOps is primarily HTML; agentic_security is Python; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Also covers AI Agents; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation. ### 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 Awesome-LLMSecOps? Looking for extensive academic references or ArXiv papers in descriptions Require real-time interactive tools rather than curated static lists of resources ### Is agentic_security or Awesome-LLMSecOps more popular on GitHub? agentic_security has more GitHub stars (2,004 vs 155). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic_security and Awesome-LLMSecOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to agentic_security or Awesome-LLMSecOps? GraphCanon lists graph-backed alternatives at [agentic_security alternatives](/tools/msoedov-agentic-security/alternatives) and [Awesome-LLMSecOps alternatives](/tools/wearetyomsmnv-awesome-llmsecops/alternatives) ([agentic_security markdown twin](/tools/msoedov-agentic-security/alternatives.md), [Awesome-LLMSecOps markdown twin](/tools/wearetyomsmnv-awesome-llmsecops/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-wearetyomsmnv-awesome-llmsecops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic_security or Awesome-LLMSecOps? agentic_security: Active. Awesome-LLMSecOps: Active. 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 Awesome-LLMSecOps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic_security trust report](/tools/msoedov-agentic-security/trust); [Awesome-LLMSecOps trust report](/tools/wearetyomsmnv-awesome-llmsecops/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/_