Secure AI 2025: Lessons We've Learned
Course
Dr. Anton Chuvakin of Google Cloud shares insights on securing AI in production environments, adversarial AI use, emerging governance best practices, agentic AI risks, and AI's impact on cybersecurity resilience in 2025 and beyond.
AI security in 2025 is drastically different from just a few years ago. Organizations have moved beyond experimentation, integrating generative AI into critical business processes. With this shift, AI security has become a priority, requiring a structured, multi-stakeholder approach. While AI security is still evolving, organizations must address traditional security issues alongside AI-specific risks to ensure robust defenses.
In this session, Dr. Anton Chuvakin of Google Cloud shares insights on:
- The evolving challenges of securing AI as it transitions from pilots to production;
- How adversaries are leveraging AI and why their use isn't yet a game changer;
- Emerging best practices for AI governance, emphasizing infrastructure, data, models and applications;
- The promises and risks of agentic AI, particularly in automating security operations;
- The impact of AI on cybersecurity resilience and why short-term gains remain uncertain.
Here is the course outline:
Secure AI 2025: Lessons We've Learned |