Preeti
OWASP recently released its top 10 list for large language model (LLM) applications, aiming to educate the industry on potential security threats when deploying and managing LLMs. This list provides a clear focus for developers, designers, architects, and managers to enhance security precautions around evolving LLM technologies. The list aligns with frameworks from NIST and CISA, promoting better security practices within organizations.
The top 10 LLM threats highlight the importance of authenticating identities used in models to prevent compromise. Adversaries are exploiting vulnerabilities in organizations, emphasizing the need for proactive measures to protect against risks like data poisoning and supply chain vulnerabilities. GenAI introduces new software risks that require authentication of identities to prevent misuse and poisoning.
Authentication of training and models is crucial to prevent issues like AT&T’s breakdown and Google’s image generator bug, which stemmed from inadequate training and data handling. By designing systems where models work with others and implementing a kill-switch approach, security teams can safeguard against model theft and intellectual property breaches.
Security leaders should act on OWASP’s guidance by assessing vulnerabilities and ensuring market-level security insights. As risks with LLMs and AI tools increase, companies must regulate LLMs to handle business deals effectively. The top 10 risks underscore the importance of implementing authentication measures to leverage the AI kill-switch concept and protect against destruction.
Overall, the list provides a framework for addressing web vulnerabilities and managing risks associated with LLMs. By implementing proper authentication measures, companies can mitigate risks and safeguard their organizations from the impact of AI and LLM infiltration.
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Source link: https://www.darkreading.com/vulnerabilities-threats/top-lessons-cisos-owasp-llm-top-10
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