Comparison
agentic_security vs PROMPTPurify
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.
Markdown twin · agentic_security alternatives · PROMPTPurify alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentic_security | PROMPTPurify |
|---|---|---|
| Maintenance | Steady (35d since push) As of 3w · github_public_v1 | Steady (70d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- PROMPTPurify
- Prompt-injection guardrail for LLM applications
Stars
- agentic_security
- 1.9k
- PROMPTPurify
- 75
Forks
- agentic_security
- 270
- PROMPTPurify
- 20
Open issues
- agentic_security
- 70
- PROMPTPurify
- 0
Language
- agentic_security
- Python
- PROMPTPurify
- TypeScript
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.
- PROMPTPurify
- 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
- agentic_security
- -
- PROMPTPurify
- -
Runtime
- agentic_security
- -
- PROMPTPurify
- -
License
- agentic_security
- Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices.
- PROMPTPurify
- MIT
Last pushed
- agentic_security
- Jun 23, 2026
- PROMPTPurify
- May 31, 2026
Categories
- agentic_security
- Evaluation & Observability, LLM Frameworks
- PROMPTPurify
- Evaluation & Observability, LLM Frameworks
Trust and health
Days since push
- agentic_security
- 35d
- PROMPTPurify
- 70d
Open issues (now)
- agentic_security
- 70
- PROMPTPurify
- 0
Owner type
- agentic_security
- User
- PROMPTPurify
- Organization
OSV dependency advisories
- agentic_security
- No lockfile (source not queried)
- PROMPTPurify
- Published findings
Full report
- agentic_security
- Trust report
- PROMPTPurify
- Trust report
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.
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 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 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.
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 Jul 28, 2026
- GitHub forks (msoedov/agentic_security) · observed Jul 28, 2026
- Last push (msoedov/agentic_security) · observed Jun 23, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (securelayer7/PROMPTPurify) · observed Aug 9, 2026
- GitHub forks (securelayer7/PROMPTPurify) · observed Aug 9, 2026
- Last push (securelayer7/PROMPTPurify) · observed May 31, 2026
- License file (MIT) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentic_security 1.9k · PROMPTPurify 75 (synced Jul 28, 2026).
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 and PROMPTPurify alternatives (agentic_security markdown twin, PROMPTPurify 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 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; PROMPTPurify trust report.