Comparison
whistleblower vs AI-Infra-Guard
Verdict
Pick whistleblower if whistleblower is an offensive security tool for AI applications to detect prompt leakage and capability flaws via malicious API probing; pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Markdown twin · whistleblower alternatives · AI-Infra-Guard alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | whistleblower | AI-Infra-Guard |
|---|---|---|
| Maintenance | Slowing (277d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- whistleblower
- A security testing tool for AI applications to uncover prompt leakage and capability flaws via API interactions.
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
Stars
- whistleblower
- 167
- AI-Infra-Guard
- 4.3k
Forks
- whistleblower
- 27
- AI-Infra-Guard
- 419
Open issues
- whistleblower
- 13
- AI-Infra-Guard
- 13
Language
- whistleblower
- Python
- AI-Infra-Guard
- Python
Adopt for
- whistleblower
- Whistleblower is an offensive security tool for AI applications to detect prompt leakage and capability flaws via malicious API probing.
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Persona
- whistleblower
- -
- AI-Infra-Guard
- -
Runtime
- whistleblower
- -
- AI-Infra-Guard
- -
License
- whistleblower
- -
- AI-Infra-Guard
- Apache-2.0
Last pushed
- whistleblower
- Oct 31, 2025
- AI-Infra-Guard
- Jul 28, 2026
Categories
- whistleblower
- Evaluation & Observability
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- whistleblower
- Slowing (36%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- whistleblower
- 277d
- AI-Infra-Guard
- 0d
OSV dependency advisories
- whistleblower
- Published findings
- AI-Infra-Guard
- No lockfile (source not queried)
Full report
- whistleblower
- Trust report
- AI-Infra-Guard
- Trust report
Shared compatibility
- Python · whistleblower: Python runtime · AI-Infra-Guard: Python runtime
Choose whistleblower if…
- Tags unique to whistleblower: ai-security, hacktoberfest, llm security, prompt-injection.
- When performing ethical hacking on LLM-based apps for security testing
When NOT to use whistleblower
- If the focus is on non-API interaction based security vulnerabilities
- When working with proprietary or restricted AI models that prohibit external probing
Choose AI-Infra-Guard if…
- Tags unique to AI-Infra-Guard: agent-security, llm-evaluation, security-tools, skills-security.
- Also covers LLM Frameworks.
- AI-Infra-Guard ships Docker support for self-hosted deployment.
- If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard.
When NOT to use AI-Infra-Guard
- Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities.
- Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Repello-AI/whistleblower) · observed Aug 5, 2026
- GitHub forks (Repello-AI/whistleblower) · observed Aug 5, 2026
- Last push (Repello-AI/whistleblower) · observed Oct 31, 2025
- License file (unknown) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- GitHub forks (Tencent/AI-Infra-Guard) · observed Jul 28, 2026
- Last push (Tencent/AI-Infra-Guard) · observed Jul 28, 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 on cards: whistleblower 167 · AI-Infra-Guard 4.3k (synced Aug 5, 2026).
Common questions
- What is the difference between whistleblower and AI-Infra-Guard?
- whistleblower: A security testing tool for AI applications to uncover prompt leakage and capability flaws via API interactions.. AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. See the comparison table for live GitHub stats and shared categories.
- When should I choose whistleblower over AI-Infra-Guard?
- Choose whistleblower over AI-Infra-Guard when Tags unique to whistleblower: ai-security, hacktoberfest, llm security, prompt-injection; When performing ethical hacking on LLM-based apps for security testing.
- When should I choose AI-Infra-Guard over whistleblower?
- Choose AI-Infra-Guard over whistleblower when Tags unique to AI-Infra-Guard: agent-security, llm-evaluation, security-tools, skills-security; Also covers LLM Frameworks; AI-Infra-Guard ships Docker support for self-hosted deployment; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard.
- When should I avoid whistleblower?
- If the focus is on non-API interaction based security vulnerabilities When working with proprietary or restricted AI models that prohibit external probing
- When should I avoid AI-Infra-Guard?
- Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations.
- Is whistleblower or AI-Infra-Guard more popular on GitHub?
- AI-Infra-Guard has more GitHub stars (4,316 vs 167). Stars measure visibility, not whether either tool fits your constraints.
- Are whistleblower and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to whistleblower or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at whistleblower alternatives and AI-Infra-Guard alternatives (whistleblower markdown twin, AI-Infra-Guard 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, whistleblower or AI-Infra-Guard?
- whistleblower: Slowing. AI-Infra-Guard: Very 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 whistleblower and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whistleblower trust report; AI-Infra-Guard trust report.