← 开源
OWASP

AISVS

The AI Security Verification Standard (AISVS) focuses on providing developers, architects, and security professionals with a structured checklist to verify the security of AI-driven applications.

AI EngineeringTest & guard
在 GitHub 打开
增长势头
+224 小时新增 Star+0.4%
556
Star
152
Fork
47
贡献者
创建于 2025-05-05 · 更新于 2026-10-16 · 今日第 4271 名
主要开发者

OWASP/AISVS 排名第 4,271,有 556 个星标。

同类别比较

OWASP/AISVS 排名第 4,271,此处有 8 个同类条目;ex-machina-co/opencode-anthropic-auth 排名第 4,270。

同类别比较
名称排名指标
BUPT-GAMMA/MASFactory4,265
语言:
Python
星标数:
564
分叉数:
69
简介:
A Graph-Centric Framework for Orchestrating Multi-Agent Systems with Vibe Graphing.
bitwize-music-studio/claude-ai-music-skills4,266
语言:
Python
星标数:
562
分叉数:
133
简介:
Human + AI music production workflow for Suno - skills, templates, and tools
BlockRunAI/Franklin4,268
语言:
TypeScript
星标数:
559
分叉数:
55
ex-machina-co/opencode-anthropic-auth4,270
语言:
TypeScript
星标数:
558
分叉数:
76
ClickHouse/agent-skills4,273
语言:
TypeScript
星标数:
550
分叉数:
38
简介:
The official Agent Skills for ClickHouse and ClickHouse Cloud
ZJU-LLMs/Agent-Kernel4,274
语言:
Python
星标数:
550
分叉数:
52
简介:
A MicroKernel Multi-Agents System Framework for Adaptive Social Simulation Powered by LLMs
czm15053/write-notes-like-deepseek4,275
语言:
HTML
星标数:
550
分叉数:
46
avansaber/seo-monster4,276
语言:
Python
星标数:
548
分叉数:
83
简介:
SEOMonster: a local, user-credential-driven MCP server for SEO workflows over Google Search Console, GA4, PageSpeed Insights, and Cloudflare. Read-first, open source.
关键参数与规格
关键参数与规格
参数值
类别AI Engineering
子类别Test & guard
关键词AI safety, Evals, Guardrails, Security
星标数556
分叉数152
贡献者47
创建日期2025-05-05
更新日期2026-10-16
1 天星标数2
排名4,271
上次排名19,068
排名变化14,797
7 天星标排名19,251
上次 7 天星标排名19,221
7 天星标排名变化-30
总星标排名17,811
上次总星标排名17,859
总星标排名变化48
国家USA
README 摘录

OWASP Artificial Intelligence Security Verification Standard (AISVS) This work is licensed under a Creative Commons Attribution-ShareAlike 4. The **Artificial Intelligence Security Verification Standard (AISVS)** is a community-driven catalogue of testable security requirements for AI-enabled systems. It gives developers, architects, security engineers, and auditors a structured framework to design, build, test, and verify the security of AI applications throughout their lifecycle, from data collection and model training to deployment, monitoring, and retirement. AISVS is modeled after the OWASP

Application Security Verification Standard (ASVS) and follows the same philosophy: every requirement should be **verifiable, testable, and implementable**. Project Leaders This project was founded by Jim Manico. Current project leadership includes Jim Manico, Otto Sulin, Rico Komenda, and Russ Memisyazici. ** Governance is well-covered by NIST AI RMF, ISO/IEC 42001, and EU AI Act compliance guides. ** AISVS provides the technical controls that risk frameworks point to, but does not define risk assessment methodology. ** AISVS is vendor-neutral and does

not endorse specific products or frameworks. | All AI applications, including internal tools and low-risk systems. | | **2** | Standard controls for systems handling sensitive data or making consequential decisions. | Production systems, customer-facing AI, systems processing personal data. | | **3** | Advanced controls for high-assurance environments requiring defense against sophisticated attacks. | Critical infrastructure, safety-critical AI, high-value targets, regulated industries. | Organizations should select a target level based on the risk profile of their AI system. Most production systems should aim for

at least Level 2. ** Use requirements as a security checklist when architecting AI systems. ** Integrate requirements into CI/CD pipelines, code reviews, and testing. ** Use as a verification framework for penetration testing and audits. ** Reference specific requirements when evaluating AI vendors and third-party models. Training Data Integrity & Traceability 2. Model Lifecycle Management & Change Control 4. Infrastructure, Configuration & Deployment Security 5. Access Control & Identity for AI Components & Users 6. Model Behavior, Output Control & Safety Assurance 8. Memory, Embeddings & Vector Database

Security 9. Model Context Protocol (MCP) Security 11. 01 standard, with per-section threat landscape summaries, tooling recommendations, and references to current standards and research literature. The value corresponds to the chapter from which the requirement comes; for example, all requirements are from the 'Orchestration & Agentic Security' chapter. The value corresponds to the section within that chapter where the requirement appears; for example, all requirements are in the 'Agent and Orchestrator Identity' section. The value identifies the specific requirement within

the chapter and section; for example, which as of version 1. 0 of this standard is: Verify that agent identity credentials rotate on a defined schedule. Since identifiers may change between versions of the standard, it is preferable for other documents, reports, or tools to use the following format: , where is the AISVS version tag. Note: The preceding the version number should always be lowercase. Identifiers without the element refer to the latest released minor version of AISVS, as defined

in RELEASE. Include the version element in reports, tools, and other references that need to remain stable across releases. Major

常见问题

记录了多少星标和分叉?

OWASP/AISVS 有 556 个星标和 152 个分叉。

仓库排名是多少?

OWASP/AISVS 排名第 4,271。

哪个仓库排名最接近?

OWASP/AISVS 与 ex-machina-co/opencode-anthropic-auth 比较,后者排名第 4,270,有 558 个星标。

README

OWASP Artificial Intelligence Security Verification Standard (AISVS)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

What is AISVS?

The Artificial Intelligence Security Verification Standard (AISVS) is a community-driven catalogue of testable security requirements for AI-enabled systems. It gives developers, architects, security engineers, and auditors a structured framework to design, build, test, and verify the security of AI applications throughout their lifecycle, from data collection and model training to deployment, monitoring, and retirement.

AISVS is modeled after the OWASP Application Security Verification Standard (ASVS) and follows the same philosophy: every requirement should be verifiable, testable, and implementable.

Project Leaders

This project was founded by Jim Manico. Current project leadership includes Jim Manico, Otto Sulin, Rico Komenda, and Russ Memisyazici.


What AISVS is NOT

  • Not a governance framework. Governance is well-covered by NIST AI RMF, ISO/IEC 42001, and EU AI Act compliance guides.
  • Not a risk management framework. AISVS provides the technical controls that risk frameworks point to, but does not define risk assessment methodology.
  • Not a tool recommendation list. AISVS is vendor-neutral and does not endorse specific products or frameworks.

How AISVS complements other standards

Standard Focus AISVS relationship
OWASP ASVS Web application security AISVS extends ASVS concepts to AI-specific threats
OWASP Top 10 for LLMs Awareness of top LLM risks AISVS provides the detailed controls to mitigate those risks
OWASP Top 10 for Agentic Applications Awareness of top agentic AI risks AISVS provides the detailed controls to address agentic-specific threats
NIST AI RMF AI risk governance AISVS supplies the testable technical controls that AI RMF references
ISO/IEC 42001 AI management systems AISVS complements with implementation-level security verification

Latest Stable Version

The latest stable version is AISVS 1.01, which can be found:

Format Link
PDF AISVS 1.01 PDF
Markdown (source) Browse online

Verification Levels

Each AISVS requirement is assigned a verification level (1, 2, or 3) indicating the depth of security assurance:

Level Description When to use
1 Essential baseline controls that every AI system should implement. All AI applications, including internal tools and low-risk systems.
2 Standard controls for systems handling sensitive data or making consequential decisions. Production systems, customer-facing AI, systems processing personal data.
3 Advanced controls for high-assurance environments requiring defense against sophisticated attacks. Critical infrastructure, safety-critical AI, high-value targets, regulated industries.

Organizations should select a target level based on the risk profile of their AI system. Most production systems should aim for at least Level 2.

How to use AISVS

  • During design. Use requirements as a security checklist when architecting AI systems.
  • During development. Integrate requirements into CI/CD pipelines, code reviews, and testing.
  • During security assessments. Use as a verification framework for penetration testing and audits.
  • For procurement. Reference specific requirements when evaluating AI vendors and third-party models.

Requirement Chapters

  1. Training Data Integrity & Traceability
  2. Input Validation
  3. Model Lifecycle Management & Change Control
  4. Infrastructure, Configuration & Deployment Security
  5. Access Control & Identity for AI Components & Users
  6. Supply Chain Security for Models
  7. Model Behavior, Output Control & Safety Assurance
  8. Memory, Embeddings & Vector Database Security
  9. Orchestration & Agentic Security
  10. Model Context Protocol (MCP) Security
  11. Adversarial Robustness
  12. Monitoring, Logging & Anomaly Detection

Appendices

Research Wiki

For every requirement in the standard, the Research Wiki provides implementation context beyond the requirement text:

Column What it tells you
Threat Mitigated Specific attack techniques, CVEs, and real-world incidents the control defends against
Verification Approach Concrete audit steps, tools, and evidence to collect
Gaps & Notes Tool maturity ratings, open research questions, and implementation caveats

The wiki covers every requirement in the released 1.01 standard, with per-section threat landscape summaries, tooling recommendations, and references to current standards and research literature. The wiki for 1.0 is frozen under 1.0/research.


How to Reference AISVS Requirements

Each requirement has an identifier in the format C.., where each element is a number, for example C9.4.3.

  • The C value corresponds to the chapter from which the requirement comes; for example, all C9.#.# requirements are from the 'Orchestration & Agentic Security' chapter.
  • The `` value corresponds to the section within that chapter where the requirement appears; for example, all C9.4.# requirements are in the 'Agent and Orchestrator Identity' section.
  • The `` value identifies the specific requirement within the chapter and section; for example, C9.4.3 which as of version 1.0 of this standard is:

Verify that agent identity credentials rotate on a defined schedule.

Since identifiers may change between versions of the standard, it is preferable for other documents, reports, or tools to use the following format: v-C.., where version is the AISVS version tag. For example: v1.0-C9.4.3.

Note: The v preceding the version number should always be lowercase.

Identifiers without the v element refer to the latest released minor version of AISVS, as defined in RELEASE.md. Include the version element in reports, tools, and other references that need to remain stable across releases.


Versioning

AISVS uses a two-part version number, v. (for example, v1.0, v1.01, v2.0). Major versions cover chapter and section changes, minor versions cover additions, removals, and material edits to requirements within the existing structure, and patch fixes ship in-branch without a separate version. The full policy is documented in RELEASE.md.

Each stable release of AISVS is published as a numbered folder in this repository. Once a version is released, its folder is locked; all future work happens in a new folder. This mirrors the approach used by OWASP ASVS.

/
├── 1.0/        <- published release (locked)
├── 1.01/       <- latest stable release (locked)
├── 1.02-dev/   <- next minor release (in progress)
├── 2.0-dev/    <- next major release (in progress)

Contributing

We welcome contributions from the community. Please open an issue to report bugs or suggest improvements. We may ask you to submit a pull request based on the discussion.

To report a security issue with the AISVS project itself, please follow the Security Policy.

License

The entire project content is under the Creative Commons Attribution-ShareAlike 4.0 International license.

排名相邻
同类项目