AI Explained
AI Observability and Security for Agentic Workflows with Karthik Bharathy
Mar 20, 2025
Karthik Bharathy, General Manager of AI Ops & Governance at AWS, brings over 20 years of AI and ML expertise. He delves into critical aspects of AI security and observability, emphasizing the need for human oversight in agentic workflows. The conversation covers the evolution of AI in enterprises, the transformative impact of generative AI, and the complexities of implementing AI security and compliance. Karthik also discusses strategic partnerships that enhance AI workflows and the significance of robust data infrastructure in financial services.
44:01
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Quick takeaways
- AI security and governance must be integrated from the outset of machine learning workflows to ensure robust monitoring and compliance.
- Agentic AI systems significantly enhance business processes by improving productivity, transforming workflows, and driving innovation across various sectors.
Deep dives
Integrating Security and Governance in AI Workflows
Security and governance are now fundamental components integrated into machine learning workflows from the outset rather than being treated as afterthoughts. Enterprises are increasingly recognizing the necessity of implementing robust data governance techniques, access controls, and audit trails from day one. This proactive approach ensures that AI models are adequately monitored and protected, with tools for automated version control and system observability being crucial. The emphasis on security includes continuous oversight to maintain the integrity of the processes as they evolve.
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