Comparison
agentic_security vs Awesome-LLMSecOps
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.
Markdown twin · agentic_security alternatives · Awesome-LLMSecOps alternatives
GraphCanon updated Sep 12, 2026
vs
Trust & integrity
| Signal | agentic_security | Awesome-LLMSecOps |
|---|---|---|
| Maintenance | Active (9d since push) As of Aug 28, 2026 · github_public_v1 | Active (19d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 28, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 12, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentic_security
- Agentic LLM Vulnerability Scanner / AI red teaming kit
- Awesome-LLMSecOps
- Curated security resources for LLM operations
Stars
- agentic_security
- 2.0k
- Awesome-LLMSecOps
- 155
Forks
- agentic_security
- 280
- Awesome-LLMSecOps
- 76
Open issues
- agentic_security
- 71
- Awesome-LLMSecOps
- 20
Language
- agentic_security
- Python
- Awesome-LLMSecOps
- HTML
Adopt for
- agentic_security
- 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
- Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models.
Persona
- agentic_security
- -
- Awesome-LLMSecOps
- -
Runtime
- agentic_security
- -
- Awesome-LLMSecOps
- -
License
- agentic_security
- Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices.
- Awesome-LLMSecOps
- -
Last pushed
- agentic_security
- Aug 18, 2026
- Awesome-LLMSecOps
- Aug 23, 2026
Categories
- agentic_security
- Evaluation & Observability, LLM Frameworks
- Awesome-LLMSecOps
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- agentic_security
- 9d
- Awesome-LLMSecOps
- 19d
Open issues (now)
- agentic_security
- 71
- Awesome-LLMSecOps
- 20
Stars delta
- agentic_security
- +35 (30d)
- Awesome-LLMSecOps
- +5 (30d)
Open issues delta
- agentic_security
- +1 (30d)
- Awesome-LLMSecOps
- +9 (30d)
Full report
- agentic_security
- Trust report
- Awesome-LLMSecOps
- Trust report
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.
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.
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 Awesome-LLMSecOps
- Looking for extensive academic references or ArXiv papers in descriptions
- Require real-time interactive tools rather than curated static lists of resources
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (msoedov/agentic_security) · observed Aug 28, 2026
- GitHub forks (msoedov/agentic_security) · observed Aug 28, 2026
- Last push (msoedov/agentic_security) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (wearetyomsmnv/Awesome-LLMSecOps) · observed Sep 12, 2026
- GitHub forks (wearetyomsmnv/Awesome-LLMSecOps) · observed Sep 12, 2026
- Last push (wearetyomsmnv/Awesome-LLMSecOps) · observed Aug 23, 2026
- License file (unknown) · observed Sep 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentic_security 2.0k · Awesome-LLMSecOps 155 (synced Aug 28, 2026).
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 (1,978 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 and Awesome-LLMSecOps alternatives (agentic_security markdown twin, Awesome-LLMSecOps markdown twin), 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 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; Awesome-LLMSecOps trust report.