> ## Content Index
> Fetch the complete content index at: https://www.aigl.blog/llms.txt
> Use this file to discover other available public pages before exploring further.

# LLM AI Cybersecurity & Governance Checklist
- URL: https://www.aigl.blog/llm-ai-cybersecurity-governance-checklist/
- Published: 2025-04-03T12:37:19.000Z
- Updated: 2026-09-12T20:05:06.000Z
- Description: The OWASP Top 10 LLM AI Cybersecurity & Governance Checklist (v1.1, April 2024) is a practical guide for organizations planning to use large language models. I
- Author: Jakub Szarmach
- Tags: Checklist, Template, #aigl-library, AI Security, AI Governance, Risk Management, Technical Controls, Privacy & Data Protection

[LLM AI Cybersecurity & Governance ChecklistLLM AI Cybersecurity & Governance Checklist.jpg47 KBdownload-circle](https://www.aigl.blog/content/files/2025/04/LLM-AI-Cybersecurity---Governance-Checklist.jpg "Download")

## **What’s Covered?**

The **OWASP Top 10 LLM AI Cybersecurity & Governance Checklist (v1.1, April 2024)** is a practical guide for organizations planning to use large language models. It brings structure to a messy problem: deploying GenAI systems without opening the door to legal, security, or governance headaches. This isn’t just about best practices—it’s a full-spectrum blueprint across **risk, regulation, security, and strategy**.

The document is structured around three core ideas:

1. **LLMs introduce a new attack surface**—they aren’t deterministic, have porous boundaries, and generate new types of security, privacy, and legal risks.
2. **Many traditional controls still apply**, but new techniques like red teaming, model cards, and adversarial testing need to be added to the mix.
3. **Business, legal, security, and engineering** must co-own deployment strategy—and that means checklists help keep everyone aligned.

What’s included:

- 30+ detailed **security and governance controls**, including threat modeling, adversarial risks, training, privacy, procurement, regulatory assessments, and testing methods.
- Clear mapping of risks: hallucinations, jailbreaking, model inversion, intellectual property leaks, and shadow AI.
- **AI Asset Inventory & Deployment Strategy**: guidance to track models, suppliers, training data sources, and permissions.
- New tools and standards: **TEVV**, **RAG**, **Model Cards**, and **Risk Cards**.
- Integration guidance with OWASP resources like SAMM, ASVS, CycloneDX, and SCVS—and MITRE tools like **ATT&CK**, **ATLAS**, and **Caldera**.

If you’re building or deploying LLMs, this is one of the most **operationally detailed** documents you’ll find in the public domain.

## **💡 Why it matters?**

There’s a false sense of security that AI tools are “just APIs”—but LLMs **learn from what you give them, remember what they shouldn’t, and generate things you can’t predict**. That turns even simple use cases into risk vectors. This checklist helps shift from being reactive to **structured, cross-functional AI security planning**. It’s the bridge between technical risk and organizational accountability.

## **What’s Missing?**

This document is deeply detailed, but it’s not a framework in the governance sense. It’s a tactical playbook—but lacks a higher-level structure for **prioritizing tasks based on organizational maturity or risk appetite**. It also doesn’t explain how to apply this across **different levels of AI adoption** (e.g., pilot vs. enterprise-scale). Without that, smaller orgs may feel overwhelmed.

The legal section is strong but focuses more on U.S. and EU exposure; **sector-specific obligations (finance, health, education)** are not discussed. Finally, while model and risk cards are mentioned, there’s no reference to **conformance assessment**, as discussed in ISO 42001 or the EU AI Act.

## **Best For:**

This checklist is made for **security leads, tech execs, AI architects, and governance teams** working with LLMs in real-world systems. Especially valuable for companies where AI use has scaled quickly without much foundational planning. If your AI deployment is ahead of your AI policies—**start here**.

## **Source Details:**

**Title:** *OWASP Top 10 LLM AI Cybersecurity & Governance Checklist*

**Version:** 1.1 (April 2024)

**Authors & Contributors:** Led by Sandy Dunn and team of 15+ practitioners from cybersecurity, risk, legal, and engineering domains.

**Organization:** OWASP Foundation