The rapid advancement of AI, exemplified by models like Gemini and the capabilities of VertexAI, brings forth not only unprecedented opportunities but also a new landscape of security risks. As AI systems become increasingly integrated into critical applications, ensuring their robustness against adversarial attacks is paramount. The Secure AI Framework (SAIF) offers a structured approach to building security into AI systems from the ground up.

This talk goes into the world of AI red teaming, a proactive approach to identifying and mitigating vulnerabilities in AI systems, and how SAIF can bolster these efforts. We'll explore:

- The evolving threat landscape of AI, from data poisoning to prompt injection attacks.
- How AI red teams operate, simulating real-world adversaries to uncover weaknesses.
- The role of SAIF in proactively addressing security concerns during AI development and deployment.
- Practical strategies for incorporating AI red teaming and SAIF principles into your development lifecycle, ensuring your AI systems are resilient against emerging threats.

Join us to gain insights into the critical role of AI red teaming and SAIF in safeguarding the future of AI, particularly as we navigate the complexities of increasingly sophisticated models and platforms like Gemini and VertexAI.