Comparison
AutoAudit vs aigis
Verdict
Pick AutoAudit if autoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA; pick aigis if aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations.
Markdown twin · AutoAudit alternatives · aigis alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | AutoAudit | aigis |
|---|---|---|
| Maintenance | Dormant (542d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Personal account As of 2w · 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
- AutoAudit
- LLM for Cyber Security
- aigis
- Deterministic zero-dependency Python firewall for AI agents
Stars
- AutoAudit
- 354
- aigis
- 53
Forks
- AutoAudit
- 38
- aigis
- 8
Open issues
- AutoAudit
- 4
- aigis
- 11
Language
- AutoAudit
- HTML
- aigis
- Python
Adopt for
- AutoAudit
- AutoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA.
- aigis
- aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations.
Persona
- AutoAudit
- -
- aigis
- -
Runtime
- AutoAudit
- -
- aigis
- -
License
- AutoAudit
- MIT
- aigis
- Apache-2.0
Last pushed
- AutoAudit
- Feb 28, 2025
- aigis
- Aug 9, 2026
Categories
- AutoAudit
- Evaluation & Observability, Model Training
- aigis
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- AutoAudit
- Dormant (18%)
- aigis
- Very active (96%)
Days since push
- AutoAudit
- 542d
- aigis
- 0d
Open issues (now)
- AutoAudit
- 4
- aigis
- 11
Stars delta
- AutoAudit
- -1 (30d)
- aigis
- Unknown
Open issues delta
- AutoAudit
- 0 (30d)
- aigis
- Unknown
Full report
- AutoAudit
- Trust report
- aigis
- Trust report
Choose AutoAudit if…
- AutoAudit is primarily HTML; aigis is Python.
- License: AutoAudit is MIT, aigis is Apache-2.0.
- Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, llama.
- Also covers Model Training.
- When your project requires a language model focused on cyber security applications rather than general content generation.
When NOT to use AutoAudit
- For projects needing broad, general-purpose text generation that does not require cyber security expertise embedded in the model.
- In scenarios where proprietary data privacy is a concern, given AutoAudit's nature as an LLM for cyber security may imply certain data processing policies could be less flexible.
Choose aigis if…
- aigis is primarily Python; AutoAudit is HTML.
- License: aigis is Apache-2.0, AutoAudit is MIT.
- Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity.
- Also covers AI Agents.
- aigis ships Docker support for self-hosted deployment.
- When your AI application requires robust security measures with minimal setup complexity
When NOT to use aigis
- If your project strictly avoids adding third-party libraries
- When a full-fledged security solution with comprehensive features is necessary over minimal dependency footprint
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ddzipp/AutoAudit) · observed Aug 24, 2026
- GitHub forks (ddzipp/AutoAudit) · observed Aug 24, 2026
- Last push (ddzipp/AutoAudit) · observed Feb 28, 2025
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (killertcell428/aigis) · observed Aug 9, 2026
- GitHub forks (killertcell428/aigis) · observed Aug 9, 2026
- Last push (killertcell428/aigis) · observed Aug 9, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: AutoAudit 354 · aigis 53 (synced Aug 24, 2026).
Common questions
- What is the difference between AutoAudit and aigis?
- AutoAudit: LLM for Cyber Security. aigis: Deterministic zero-dependency Python firewall for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoAudit over aigis?
- Choose AutoAudit over aigis when AutoAudit is primarily HTML; aigis is Python; License: AutoAudit is MIT, aigis is Apache-2.0; Tags unique to AutoAudit: cyber-security, fine-tuning, gpt, llama; Also covers Model Training; When your project requires a language model focused on cyber security applications rather than general content generation.
- When should I choose aigis over AutoAudit?
- Choose aigis over AutoAudit when aigis is primarily Python; AutoAudit is HTML; License: aigis is Apache-2.0, AutoAudit is MIT; Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity; Also covers AI Agents; aigis ships Docker support for self-hosted deployment; When your AI application requires robust security measures with minimal setup complexity.
- When should I avoid AutoAudit?
- For projects needing broad, general-purpose text generation that does not require cyber security expertise embedded in the model. In scenarios where proprietary data privacy is a concern, given AutoAudit's nature as an LLM for cyber security may imply certain data processing policies could be less flexible.
- When should I avoid aigis?
- If your project strictly avoids adding third-party libraries When a full-fledged security solution with comprehensive features is necessary over minimal dependency footprint
- Is AutoAudit or aigis more popular on GitHub?
- AutoAudit has more GitHub stars (354 vs 53). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoAudit and aigis open source?
- Yes - both are open-source projects on GitHub (AutoAudit: MIT, aigis: Apache-2.0).
- Where can I find alternatives to AutoAudit or aigis?
- GraphCanon lists graph-backed alternatives at AutoAudit alternatives and aigis alternatives (AutoAudit markdown twin, aigis 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, AutoAudit or aigis?
- AutoAudit: Dormant. aigis: 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 AutoAudit and aigis?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAudit trust report; aigis trust report.