---
title: "awesome-llm-security vs llm-security-startups"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/corca-ai-awesome-llm-security-vs-rushout09-llm-security-startups"
tools: ["corca-ai-awesome-llm-security", "rushout09-llm-security-startups"]
---

# awesome-llm-security vs llm-security-startups

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick llm-security-startups if llm-security-startups offers a curated list of startups dedicated to securing Large Language Models, focusing on real-time monitoring, data-flow management, and protection against.

[awesome-llm-security](https://github.com/corca-ai/awesome-llm-security) reports 1.7k GitHub stars, 312 forks, and 173 open issues, last pushed Aug 20, 2025. [llm-security-startups](https://github.com/rushout09/llm-security-startups) has 15 stars, 1 forks, and 2 open issues, last pushed Nov 9, 2024. Figures are from public GitHub metadata via [awesome-llm-security's repository](https://github.com/corca-ai/awesome-llm-security) and [llm-security-startups's repository](https://github.com/rushout09/llm-security-startups).

| | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [llm-security-startups](/tools/rushout09-llm-security-startups.md) |
| --- | --- | --- |
| Tagline | A curation of tools, documents and projects about LLM Security | An awesome and comprehensive list of LLM Security Startups |
| Stars | 1,672 | 15 |
| Forks | 312 | 1 |
| Open issues | 173 | 2 |
| Language | - | - |
| Adopt for | Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and | llm-security-startups offers a curated list of startups dedicated to securing Large Language Models, focusing on real-time monitoring, data-flow management, and protection against prompt injection attacks. |
| Persona | - | - |
| Runtime | - | - |
| License | - | GPL-3.0 |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [awesome-llm-security](/tools/corca-ai-awesome-llm-security.md) | [llm-security-startups](/tools/rushout09-llm-security-startups.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 351d | 633d |
| Open issues (now) | 173 | 2 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/corca-ai-awesome-llm-security/trust.md) | [trust report](/tools/rushout09-llm-security-startups/trust.md) |

## Decision facts: awesome-llm-security

- **Hosting:** unknown
- **Pricing:** freemium - As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).
- **Adopt for:** Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and

## Decision facts: llm-security-startups

- **Adopt for:** llm-security-startups offers a curated list of startups dedicated to securing Large Language Models, focusing on real-time monitoring, data-flow management, and protection against prompt injection attacks.

## Choose when

### Choose awesome-llm-security if…

- Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
- Tags unique to awesome-llm-security: awesome-list, llm, security.
- When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

### Choose llm-security-startups if…

- Tags unique to llm-security-startups: ai-security, llm security.
- When you need comprehensive security for AI applications that include features like real-time monitoring, as provided by Lasso Security within the llm-security-startups list.
- Leaner open-issue backlog (2).

## When NOT to use awesome-llm-security

- When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
- If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

## When NOT to use llm-security-startups

- Do not use if you are looking for a generic cybersecurity service that does not specialize in Large Language Models or AI red-teaming, which llm-security-startups focuses on.
- Avoid if your specific need is solely related to data privacy and compliance issues without an emphasis on real-time monitoring or prompt injection protection.

## Common questions

### What is the difference between awesome-llm-security and llm-security-startups?

awesome-llm-security: A curation of tools, documents and projects about LLM Security. llm-security-startups: An awesome and comprehensive list of LLM Security Startups. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-llm-security over llm-security-startups?

Choose awesome-llm-security over llm-security-startups when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: awesome-list, llm, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

### When should I choose llm-security-startups over awesome-llm-security?

Choose llm-security-startups over awesome-llm-security when Tags unique to llm-security-startups: ai-security, llm security; When you need comprehensive security for AI applications that include features like real-time monitoring, as provided by Lasso Security within the llm-security-startups list; Leaner open-issue backlog (2).

### When should I avoid awesome-llm-security?

When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

### When should I avoid llm-security-startups?

Do not use if you are looking for a generic cybersecurity service that does not specialize in Large Language Models or AI red-teaming, which llm-security-startups focuses on. Avoid if your specific need is solely related to data privacy and compliance issues without an emphasis on real-time monitoring or prompt injection protection.

### Is awesome-llm-security or llm-security-startups more popular on GitHub?

awesome-llm-security has more GitHub stars (1,672 vs 15). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llm-security and llm-security-startups open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to awesome-llm-security or llm-security-startups?

GraphCanon lists graph-backed alternatives at [awesome-llm-security alternatives](/tools/corca-ai-awesome-llm-security/alternatives) and [llm-security-startups alternatives](/tools/rushout09-llm-security-startups/alternatives) ([awesome-llm-security markdown twin](/tools/corca-ai-awesome-llm-security/alternatives.md), [llm-security-startups markdown twin](/tools/rushout09-llm-security-startups/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/corca-ai-awesome-llm-security-vs-rushout09-llm-security-startups.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-llm-security or llm-security-startups?

awesome-llm-security: Slowing. llm-security-startups: 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 awesome-llm-security and llm-security-startups?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-security trust report](/tools/corca-ai-awesome-llm-security/trust); [llm-security-startups trust report](/tools/rushout09-llm-security-startups/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=corca-ai-awesome-llm-security`](/api/graphcanon/graph?tool=corca-ai-awesome-llm-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/_