Comparison
vigil-llm vs AI-Infra-Guard
Verdict
Pick vigil-llm if vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs; 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 · vigil-llm alternatives · AI-Infra-Guard alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | vigil-llm | AI-Infra-Guard |
|---|---|---|
| Maintenance | Dormant (901d since push) As of 1mo · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- vigil-llm
- Detect prompt injections and other risky inputs in LLMs
- AI-Infra-Guard
- A full-stack AI Red Teaming platform securing AI ecosystems
Stars
- vigil-llm
- 491
- AI-Infra-Guard
- 4.3k
Forks
- vigil-llm
- 56
- AI-Infra-Guard
- 419
Open issues
- vigil-llm
- 16
- AI-Infra-Guard
- 13
Language
- vigil-llm
- Python
- AI-Infra-Guard
- Python
Adopt for
- vigil-llm
- Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs.
- AI-Infra-Guard
- AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools.
Persona
- vigil-llm
- -
- AI-Infra-Guard
- -
Runtime
- vigil-llm
- -
- AI-Infra-Guard
- -
License
- vigil-llm
- Apache-2.0
- AI-Infra-Guard
- Apache-2.0
Last pushed
- vigil-llm
- Jan 31, 2024
- AI-Infra-Guard
- Jul 28, 2026
Categories
- vigil-llm
- Evaluation & Observability
- AI-Infra-Guard
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- vigil-llm
- Dormant (18%)
- AI-Infra-Guard
- Very active (96%)
Days since push
- vigil-llm
- 901d
- AI-Infra-Guard
- 0d
Open issues (now)
- vigil-llm
- 16
- AI-Infra-Guard
- 13
Owner type
- vigil-llm
- User
- AI-Infra-Guard
- Organization
Full report
- vigil-llm
- Trust report
- AI-Infra-Guard
- Trust report
Shared compatibility
- Python · vigil-llm: Python runtime · AI-Infra-Guard: Python runtime
Choose vigil-llm if…
- Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection.
- When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
When NOT to use vigil-llm
- If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary.
- For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
Choose AI-Infra-Guard if…
- Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools.
- Also covers LLM Frameworks.
- 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 (deadbits/vigil-llm) · observed Jul 21, 2026
- GitHub forks (deadbits/vigil-llm) · observed Jul 21, 2026
- Last push (deadbits/vigil-llm) · observed Jan 31, 2024
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 15, 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: vigil-llm 491 · AI-Infra-Guard 4.3k (synced Jul 21, 2026).
Common questions
- What is the difference between vigil-llm and AI-Infra-Guard?
- vigil-llm: Detect prompt injections and other risky inputs in LLMs. 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 vigil-llm over AI-Infra-Guard?
- Choose vigil-llm over AI-Infra-Guard when Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection; When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior.
- When should I choose AI-Infra-Guard over vigil-llm?
- Choose AI-Infra-Guard over vigil-llm when Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; Also covers LLM Frameworks; 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 vigil-llm?
- If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead.
- 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 vigil-llm or AI-Infra-Guard more popular on GitHub?
- AI-Infra-Guard has more GitHub stars (4,316 vs 491). Stars measure visibility, not whether either tool fits your constraints.
- Are vigil-llm and AI-Infra-Guard open source?
- Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, AI-Infra-Guard: Apache-2.0).
- Where can I find alternatives to vigil-llm or AI-Infra-Guard?
- GraphCanon lists graph-backed alternatives at vigil-llm alternatives and AI-Infra-Guard alternatives (vigil-llm 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, vigil-llm or AI-Infra-Guard?
- vigil-llm: 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 vigil-llm and AI-Infra-Guard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vigil-llm trust report; AI-Infra-Guard trust report.