---
title: Navigating the Top AI Security Risks (Clone)
description: Curious about the top AI Security Risks for LLMs? e360 CISO Brad Bussie highlights the OWASP Top 10 for Large Language Models (LLM), a comprehensive list outlining the key vulnerabilities in AI systems.
---

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# [Navigating the Top AI Security Risks (Clone)](https://www.e360.com/test-blog/navigating-the-top-ai-security-risks-0)

 Written by [Brad Bussie](https://www.e360.com/test-blog/author/brad-bussie) | Jan 16, 2024 2:50:16 PM

In the rapidly evolving world of artificial intelligence (AI), security risks are a growing concern. In the [third episode of our podcast](https://www.e360.com/blog/the-state-of-enterprise-it-security-show-episode-03), host Brad Bussie explores the top AI security risks that organizations face today.

Bussie highlights the [OWASP Top 10 for Large Language Models (LLM)](https://owasp.org/www-project-top-10-for-large-language-model-applications/assets/PDF/OWASP-Top-10-for-LLMs-2023-v09.pdf), a comprehensive list outlining the key vulnerabilities in AI systems.

1. Prompt Injection: A vulnerability where AI systems can be manipulated by misleading prompts, leading to harmful outputs.
2. Insecure Output Handling: Risks arise when AI outputs are not scrutinized, potentially leading to remote code execution.
3. Training Data Poisoning: Compromised training data can lead AI models to exhibit biased or unethical behavior.
4. Model Denial of Service: AI models can be disrupted by overwhelming requests or misleading data, rendering them ineffective.
5. Supply Chain Vulnerabilities: AI systems relying on third-party data sets may face security breaches if these sources are compromised.
6. Sensitive Information Disclosure: AI systems may inadvertently disclose private or sensitive information.
7. Insecure Plugin Design: Vulnerabilities in AI plugins can introduce various security risks.
8. Excessive Agency: Over-empowering AI systems with permissions or autonomy can lead to unintended consequences.
9. Overreliance on AI: Heavy dependence on AI for critical tasks may create security gaps and operational risks.
10. Model Theft: The theft of AI models poses a risk of their misuse.

These risks underscore the importance of vigilant cybersecurity measures and awareness as AI continues to permeate various technological and business aspects.

[View full post](https://www.e360.com/test-blog/navigating-the-top-ai-security-risks-0)

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