--- title: "ALERT vs AI-Infra-Guard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/babelscape-alert-vs-tencent-ai-infra-guard" tools: ["babelscape-alert", "tencent-ai-infra-guard"] --- # ALERT vs AI-Infra-Guard *GraphCanon updated Sep 20, 2026* ## Verdict Pick ALERT if aLERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation; 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. [ALERT](https://arxiv.org/abs/2404.08676) reports 59 GitHub stars, 8 forks, and 0 open issues, last pushed Sep 20, 2024. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) has 6.5k stars, 599 forks, and 32 open issues, last pushed Sep 20, 2026. Figures are from public GitHub metadata via [ALERT's repository](https://github.com/Babelscape/ALERT) and [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard). | | [ALERT](/tools/babelscape-alert.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Tagline | A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming | A full-stack AI Red Teaming platform securing AI ecosystems | | Stars | 59 | 6,471 | | Forks | 8 | 599 | | Open issues | 0 | 32 | | Language | Python | Python | | Adopt for | ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation. | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Evaluation & Observability | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ALERT](/tools/babelscape-alert.md) | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 719d | 0d | | Open issues (now) | 0 | 32 | | Stars delta | 0 (30d) | +2.2k (30d) | | Open issues delta | 0 (30d) | +19 (30d) | | Full report | [trust report](/tools/babelscape-alert/trust.md) | [trust report](/tools/tencent-ai-infra-guard/trust.md) | ## Decision facts: ALERT - **Adopt for:** ALERT is designed specifically for red-teaming based safety evaluation on large language models, using MIT licensed prompts and adversarial augmentation. ## 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 ALERT if… - License: ALERT is Other, AI-Infra-Guard is Apache-2.0. - Tags unique to ALERT: ai, artificial-intelligence, benchmark, bias-detection. - When evaluating safety metrics of large language models through red-teaming approaches ### Choose AI-Infra-Guard if… - License: AI-Infra-Guard is Apache-2.0, ALERT is Other. - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, 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 ALERT - If your evaluation does not require bias detection or safety assessment under adversarial conditions - In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks ## 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 ALERT and AI-Infra-Guard? ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety Through Red Teaming. 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 ALERT over AI-Infra-Guard? Choose ALERT over AI-Infra-Guard when License: ALERT is Other, AI-Infra-Guard is Apache-2.0; Tags unique to ALERT: ai, artificial-intelligence, benchmark, bias-detection; When evaluating safety metrics of large language models through red-teaming approaches. ### When should I choose AI-Infra-Guard over ALERT? Choose AI-Infra-Guard over ALERT when License: AI-Infra-Guard is Apache-2.0, ALERT is Other; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, 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 ALERT? If your evaluation does not require bias detection or safety assessment under adversarial conditions In scenarios where a broader range of model aspects beyond safety is needed, as ALERT focuses primarily on safety benchmarks ### 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 ALERT or AI-Infra-Guard more popular on GitHub? AI-Infra-Guard has more GitHub stars (6,471 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are ALERT and AI-Infra-Guard open source? Yes - both are open-source projects on GitHub (ALERT: Other, AI-Infra-Guard: Apache-2.0). ### Where can I find alternatives to ALERT or AI-Infra-Guard? GraphCanon lists graph-backed alternatives at [ALERT alternatives](/tools/babelscape-alert/alternatives) and [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) ([ALERT markdown twin](/tools/babelscape-alert/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/babelscape-alert-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, ALERT or AI-Infra-Guard? ALERT: Dormant. 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 ALERT and AI-Infra-Guard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ALERT trust report](/tools/babelscape-alert/trust); [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=babelscape-alert`](/api/graphcanon/graph?tool=babelscape-alert) - 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/_