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Enterprise AI in Production When AI Agents Access Your Data: Controlling Data Flow in Modern Pipelines{Describe your session in 2 paragraphs} Modern AI systems increasingly rely on agents and automated workflows that interact with databases, APIs, and external services. While databases like PostgreSQL provide strong controls for who can access data, they do not govern how that data us used once retrieved. In practice, agent-driven pipelines can query sensitive data and then propagate it across sy… more
Submission type: Lightning talks (10 mins)
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Speak at The Fifth Elephant 2026 Annual Conference When AI Agents Access Your Data: Securing Runtime Flow in Multi-Agent Pipelines{Describe your session in 2 paragraphs} We’re building AI agent architectures that look a lot like distributed systems, passing data across multi-agent pipelines, MCP tools, and external APIs. But because these workflows run autonomously and at incredible speeds, they introduce a brand-new challenge to our standard network models. Once an agent is given tool access to do its job, it executes sub-… more
I am submitting for: Track 2 - Building & implementing AI tools & agents in production
Type of session: 15 mins talk
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