Product Updates from Google Cloud | AI Security and APIs
Addressing OWASP Top 10 API and LLM Security Risks
APIs are an integral part of modern services and AI applications. AI relies heavily on APIs for building foundation models, streamlining integration of AI capabilities into applications, facilitating interoperability between models running on different platforms, and providing continuous access to the real-time data needed to train and improve AI models.
Without proper authentication and protection, organizations and users face an increased risk of cyberattacks.
Join our free session on API security. We’ll discuss how Google Cloud products including Apigee, Advanced API Security, and Model Armor can help you mitigate OWASP’s Top 10 API and LLM Security Risks by:
- Detecting API security misconfigurations: Dynamically check API proxies and shared flows for misconfigurations with custom profiles and alerts.
- Preventing prompt injection attacks and sensitive data leakage: Scale Model Armor across AI applications (on/off Google Cloud) to protect internal and user data.
- Detecting, triaging, and taking action to block API attacks: Identify suspicious traffic based on history and automate actions (flag/block) based on conditions.
- Discover unmanaged “shadow” APIs: Automatically find API operations behind Google Cloud load balancers without agents.
- Enforcing authentication and granular access and quota controls: Implement authentication/authorization policies and granular access/quota management with Apigee.
This session is key to building safer and more secure APIs and AI applications. You’ll learn how Google Cloud can help you protect your APIs, including APIs fronting LLMs; get an overview of the latest product releases to support API security, and understand what investments we’ll be making next to help you stay protected.
Ready to uplevel your API and AI security strategy? Register now to learn how!