Cybersecurity Risks of In-House LLM Development: An OWASP Top 10 Perspective for Enterprise Protection Strategies
As AI tools become ubiquitous, enterprises are increasingly building their own Large Language Models (LLMs), but this also introduces cybersecurity risks. OWASP included LLM security risks in its 2023 Top 10 critical risks, such as prompt injection, sensitive information disclosure, supply chain vulnerabilities, and data and model poisoning. To protect LLMs, enterprises should adopt multi-faceted approaches covering network security, infrastructure, and access control. This includes deploying AI firewalls, utilizing platforms with built-in security features (like Cloudflare Workers AI), and implementing the principle of least privilege, multi-factor authentication, and system log monitoring. For further assistance, professional consultants can be contacted.
