Strategies for Securing AI Adoption

AI presents unique security challenges for today's organizations. In this webinar, we will:
- Explore the evolving threat landscape of AI, examining vulnerabilities such as prompt injection and adversarial attacks
- Discuss our approach to securing AI systems and provide insights on leading secure AI adoption initiatives

Explore best practices for effectively integrating AI into your existing business processes. In this webinar, we will:

- Explain the key components of a AI governance framework, enabling you to drive ethical and responsible AI practices throughout your organization
- Demonstrate how Google Cloud solutions can streamline AI deployment and management within your enterprise

AI applications and models are fueled by data and data context. Understanding and protecting this sensitive data is critical to ensuring successful deployments and proper use. In this webinar, we will:

- Discuss important data protection laws organizations need to consider when deploying AI systems
- Provide methods for preparing data for model training and how to protect against prompt injection
- Share best practices for demonstrating transparency, preventing biases, and building public trust

When developing tools, AI has proven to be a performance booster. If language models employed for simplifying programmers’ jobs are tainted with malicious code, the results will poison all stages of the production chain. In this webinar, we will:

- Share key security challenges in AI development and the software supply chain and how to mitigate
- Discuss strategies for vulnerability management and code security
- Provide an overview of Google Cloud tools and capabilities that secure the AI development lifecycle