--- title: "AutoAudit vs aigis" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ddzipp-autoaudit-vs-killertcell428-aigis" tools: ["ddzipp-autoaudit", "killertcell428-aigis"] --- # AutoAudit vs aigis *GraphCanon updated Aug 24, 2026* ## 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. [AutoAudit](https://github.com/ddzipp/AutoAudit) reports 354 GitHub stars, 38 forks, and 4 open issues, last pushed Feb 28, 2025. [aigis](https://pypi.org/project/pyaigis/) has 53 stars, 8 forks, and 11 open issues, last pushed Aug 9, 2026. Figures are from public GitHub metadata via [AutoAudit's repository](https://github.com/ddzipp/AutoAudit) and [aigis's repository](https://github.com/killertcell428/aigis). | | [AutoAudit](/tools/ddzipp-autoaudit.md) | [aigis](/tools/killertcell428-aigis.md) | | --- | --- | --- | | Tagline | LLM for Cyber Security | Deterministic zero-dependency Python firewall for AI agents | | Stars | 354 | 53 | | Forks | 38 | 8 | | Open issues | 4 | 11 | | Language | HTML | Python | | Adopt for | AutoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA. | 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 | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Evaluation & Observability, Model Training | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoAudit](/tools/ddzipp-autoaudit.md) | [aigis](/tools/killertcell428-aigis.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 542d | 0d | | Open issues (now) | 4 | 11 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/ddzipp-autoaudit/trust.md) | [trust report](/tools/killertcell428-aigis/trust.md) | ## Decision facts: AutoAudit - **Adopt for:** AutoAudit leverages LLMs specifically for cyber security tasks and supports custom fine-tuning through models such as GPT, LLAMA, LoRA, and QLORA. ## Decision facts: aigis - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/ddzipp-autoaudit/alternatives) and [aigis alternatives](/tools/killertcell428-aigis/alternatives) ([AutoAudit markdown twin](/tools/ddzipp-autoaudit/alternatives.md), [aigis markdown twin](/tools/killertcell428-aigis/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/ddzipp-autoaudit-vs-killertcell428-aigis.md) 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](/tools/ddzipp-autoaudit/trust); [aigis trust report](/tools/killertcell428-aigis/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ddzipp-autoaudit`](/api/graphcanon/graph?tool=ddzipp-autoaudit) - 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/_