AI Agents Should Be Treated Like Hackers
From Agentic Conversations (formally mlops.community) by Demetrios
July 6, 2026 · 32 min
About this episode
The episode discusses the implications of AI agents interacting with enterprise systems and the need for treating them as untrusted actors.
In this episode, we're joined by Matt DeBergalis , CTO and Co-Founder of Apollo GraphQL, to explore what happens when AI agents start interacting with enterprise systems that were never designed for them. We dive into the collision between APIs, MCP, GraphQL, and agentic AI, and why traditional assumptions about trust, permissions, and security are breaking down. Matt argues that AI agents should be treated as untrusted actors by default, and explains why giving agents access to enterprise data creates entirely new challenges around governance, access control, and risk management. Along the way, we discuss semantic APIs, enterprise data silos, citizen developers, agent permissions, security boundaries, and how GraphQL and MCP can work together to make enterprise systems more accessible to both humans and AI. The conversation also explores why companies are racing to deploy agents despite the risks, and what the future of enterprise software might look like when AI becomes the primary consumer of APIs. Apollo GraphQL: https://www.apollographql.com Matt DeBergalis: https://www.linkedin.com/in/debergalis Alex Salkever: https://www.linkedin.com/in/alexsalkever Timestamps: [00:00] AI…
People in this episode
Host: Demetrios
Guest: Matt DeBergalis
Topics covered
- AI agents
- enterprise systems
- APIs
- GraphQL
- security
- data governance
Keywords
- AI agents
- enterprise data
- APIs
- GraphQL
- security
- permissions
- risk management
- data silos
Mentioned in this episode
Organizations: Apollo GraphQL
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