Venkat Siva (Compfly): Governing Agents at the Execution Boundary

Venkat Siva (Compfly): Governing Agents at the Execution Boundary

From The Road to Accountable AI by Kevin Werbach

June 4, 2026 · 33 min · Season 5 · Episode 13

About this episode

Kevin Werbach speaks with Venkat Siva about the unique governance challenges posed by autonomous agents compared to traditional software.

Kevin Werbach speaks with Venkat Siva, co-founder and CEO of CompFly AI, about why governing autonomous agents requires a fundamentally different approach than securing traditional software. Siva argues that agents create a genuinely new control problem. Because they decide at runtime which tools to call and which actions to take, governance cannot simply be bolted onto existing MLOps or security platforms built for fixed, deterministic workflows. Instead, control has to move to the "execution boundary" — the point where an agent's decision turns into a real-world action. And agent safety is much more than just model safety. In practical terms, Siva makes the case for giving every enterprise agent a distinct, cryptographically verifiable identity using decentralized identifiers (DIDs) and verifiable credentials. He addresses the growing problem of "shadow agents," pointing to employees experimenting with powerful open-source autonomous tools inside enterprises, and explains discovery techniques like intercepting traffic to model APIs and watching for who requests LLM keys. He offers the concept of an "autonomy budget": classify actions by reversibility and financial, regulatory…

People in this episode

Host: Kevin Werbach

Guest: Venkat Siva

Topics covered

  • governance of autonomous agents
  • MLOps
  • decentralized identifiers
  • shadow agents
  • autonomy budget
  • digital failures

Keywords

  • autonomous agents
  • governance
  • MLOps
  • decentralized identifiers
  • shadow agents
  • autonomy budget
  • digital failures

Mentioned in this episode

Organizations: CompFly AI, Rivian

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