Tevora
AI Security Readiness Implementation Framework
Pages
2
Time to read
2 mins
Publication
Language
English
Pages
2
Time to read
2 mins
Publication
Language
English
This guide outlines a structured framework for organizations to assess and enhance their AI security readiness in the face of emerging technologies. It begins with an AI Security Capability Assessment, which evaluates the current usage and capabilities of AI and large language models (LLMs) within the organization. The second step involves developing a comprehensive security program tailored to the organization's needs, incorporating industry frameworks such as NIST and OWASP. The third step focuses on AI Threat Testing, where organizations are encouraged to test their defenses against potential vulnerabilities, including API integrations and data leakage. Finally, the guide details the implementation of solutions to monitor and prevent risks associated with generative AI tools. By following this four-step process, organizations can better secure their operations against the evolving landscape of AI-related threats.