From Chaos to Control: Governing GenAI with API Management

The rapid adoption of Generative AI (GenAI) presents exciting opportunities, but also introduces significant security and governance challenges. How do you ensure responsible and controlled access to your GenAI models, prevent misuse, and maintain compliance? This talk explores how leveraging an API Management platform can be a crucial strategy for securing and governing your GenAI ecosystem. We will delve into practical applications of API Management in the context of GenAI, including: Authentication and Authorization: Implement granular access control to your GenAI endpoints, ensuring only authorized users and applications can interact with your models. Rate Limiting and Quota Management: Protect your infrastructure from overload and abuse by controlling the frequency and volume of requests. API Key Management: Securely manage and distribute API keys for controlled access to your GenAI services. Policy Enforcement: Define and enforce security and governance policies, such as input validation, content filtering, and usage monitoring. Auditing and Logging: Gain visibility into API usage patterns and identify potential security threats through comprehensive logging and auditing capabilities. Version Control and Lifecycle Management: Manage different versions of your GenAI models and ensure smooth updates and deprecations. By implementing these strategies, you can establish a robust and scalable GenAI platform that balances innovation with security and governance. This talk will provide actionable insights and practical examples to help you effectively manage your GenAI APIs and mitigate potential risks