--- title: "prismor vs Awesome-LLMSecOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/prismorsec-prismor-vs-wearetyomsmnv-awesome-llmsecops" tools: ["prismorsec-prismor", "wearetyomsmnv-awesome-llmsecops"] --- # prismor vs Awesome-LLMSecOps *GraphCanon updated Sep 20, 2026* ## Verdict Pick prismor if prismor is a runtime firewall that safeguards AI frameworks against security breaches like prompt injection attacks and secret leaks. It supports Claude Code and Codex; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. [prismor](https://prismor.dev) reports 343 GitHub stars, 35 forks, and 46 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 [prismor's repository](https://github.com/PrismorSec/prismor) and [Awesome-LLMSecOps's repository](https://github.com/wearetyomsmnv/Awesome-LLMSecOps). | | [prismor](/tools/prismorsec-prismor.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Tagline | Runtime firewall for AI agents to prevent rogue tool calls and security breaches | Curated security resources for LLM operations | | Stars | 343 | 155 | | Forks | 35 | 76 | | Open issues | 46 | 20 | | Language | Python | HTML | | Adopt for | Prismor is a runtime firewall that safeguards AI frameworks against security breaches like prompt injection attacks and secret leaks. It supports Claude Code and Codex. | 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 open-source license allowing free use and distribution under certain conditions. | - | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prismor](/tools/prismorsec-prismor.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 19d | | Open issues (now) | 46 | 20 | | Stars delta | +63 (30d) | +5 (30d) | | Open issues delta | +34 (30d) | +9 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/prismorsec-prismor/trust.md) | [trust report](/tools/wearetyomsmnv-awesome-llmsecops/trust.md) | ## Decision facts: prismor - **Pricing:** freemium - Free with a commercial license for advanced features. - **Requirements:** Min 1 GB RAM - **Adopt for:** Prismor is a runtime firewall that safeguards AI frameworks against security breaches like prompt injection attacks and secret leaks. It supports Claude Code and Codex. - **License detail:** Apache-2.0, permissive open-source license allowing free use and distribution under certain conditions. ## 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 prismor if… - prismor is primarily Python; Awesome-LLMSecOps is HTML. - Pricing: Free with a commercial license for advanced features.. - Requirements: Min 1 GB RAM. - Tags unique to prismor: agent-security, ai-agents, llm-security, security-tools. - When you need a dedicated firewall for AI tools to block unauthorized calls. ### Choose Awesome-LLMSecOps if… - Awesome-LLMSecOps is primarily HTML; prismor is Python. - Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, rag-security. - Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation ## When NOT to use prismor - Avoid if you do not use supported frameworks like Claude Code or Codex, as it might lack coverage. - Not suitable if you prioritize open-source contributions over runtime protection. ## 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 prismor and Awesome-LLMSecOps? prismor: Runtime firewall for AI agents to prevent rogue tool calls and security breaches. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories. ### When should I choose prismor over Awesome-LLMSecOps? Choose prismor over Awesome-LLMSecOps when prismor is primarily Python; Awesome-LLMSecOps is HTML; Pricing: Free with a commercial license for advanced features.; Requirements: Min 1 GB RAM; Tags unique to prismor: agent-security, ai-agents, llm-security, security-tools; When you need a dedicated firewall for AI tools to block unauthorized calls. ### When should I choose Awesome-LLMSecOps over prismor? Choose Awesome-LLMSecOps over prismor when Awesome-LLMSecOps is primarily HTML; prismor is Python; Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, rag-security; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation. ### When should I avoid prismor? Avoid if you do not use supported frameworks like Claude Code or Codex, as it might lack coverage. Not suitable if you prioritize open-source contributions over runtime protection. ### 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 prismor or Awesome-LLMSecOps more popular on GitHub? prismor has more GitHub stars (343 vs 155). Stars measure visibility, not whether either tool fits your constraints. ### Are prismor and Awesome-LLMSecOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to prismor or Awesome-LLMSecOps? GraphCanon lists graph-backed alternatives at [prismor alternatives](/tools/prismorsec-prismor/alternatives) and [Awesome-LLMSecOps alternatives](/tools/wearetyomsmnv-awesome-llmsecops/alternatives) ([prismor markdown twin](/tools/prismorsec-prismor/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/prismorsec-prismor-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, prismor or Awesome-LLMSecOps? prismor: Very 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 prismor and Awesome-LLMSecOps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prismor trust report](/tools/prismorsec-prismor/trust); [Awesome-LLMSecOps trust report](/tools/wearetyomsmnv-awesome-llmsecops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=prismorsec-prismor`](/api/graphcanon/graph?tool=prismorsec-prismor) - 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/_