--- title: "whistleblower vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/repello-ai-whistleblower-vs-tencent-ai-infra-guard" tools: ["repello-ai-whistleblower", "tencent-ai-infra-guard"] --- # whistleblower vs AI-Infra-Guard *GraphCanon updated Aug 5, 2026* ## 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. [whistleblower](https://repello.ai/product) reports 167 GitHub stars, 27 forks, and 13 open issues, last pushed Oct 31, 2025. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) has 4.3k stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [whistleblower's repository](https://github.com/Repello-AI/whistleblower) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [whistleblower](/tools/repello-ai-whistleblower.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | A security testing tool for AI applications to uncover prompt leakage and capability flaws via API interactions. | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 167 | 4,316 | | Forks | 27 | 419 | | Open issues | 13 | 13 | | Language | Python | Python | | Adopt for | Whistleblower is an offensive security tool for AI applications to detect prompt leakage and capability flaws via malicious API probing. | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whistleblower](/tools/repello-ai-whistleblower.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 277d | 0d | | Full report | [trust report](/tools/repello-ai-whistleblower/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Shared compatibility - **Python**: [whistleblower](/tools/repello-ai-whistleblower.md) - Python runtime; [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) - Python runtime ## Decision facts: whistleblower - **Adopt for:** Whistleblower is an offensive security tool for AI applications to detect prompt leakage and capability flaws via malicious API probing. ## Decision facts: AI-Infra-Guard - **Adopt for:** AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. ## Choose when ### 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 ### 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 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 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. ## 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](/tools/repello-ai-whistleblower/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([whistleblower markdown twin](/tools/repello-ai-whistleblower/alternatives.md), [AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-guard/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/repello-ai-whistleblower-vs-tencent-ai-infra-guard.md) 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](/tools/repello-ai-whistleblower/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=repello-ai-whistleblower`](/api/graphcanon/graph?tool=repello-ai-whistleblower) - 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/_