AI agents operating today inside enterprise systems access data, execute workflows, and make decisions. But the organizations deploying them often have limited visibility into what those agents are doing or whom they serve. It’s a security and privacy nightmare waiting to happen.
Raffi Krikorian, Chief Technology Officer at Mozilla, argues that the platform choices executives make today will determine whether their organizations own their AI infrastructure or become permanently dependent on a small number of technology companies that do.
Krikorian brings an unusual mix of credentials to this conversation. He rebuilt Twitter's core infrastructure at scale, led Uber's first commercial deployment of autonomous vehicles, and served as CTO of the Democratic National Committee before joining Mozilla, the organization that built Firefox and challenged Microsoft's control of the early web. Mozilla is now applying the same open-source strategy to AI agents that it used to break open the browser market two decades ago.
What we will cover:
- Why AI agents create a different category of enterprise risk: unlike every prior software tool, agents initiate action rather than wait for instructions
- The strategic cost of building agent infrastructure on closed, proprietary platforms, where the vendor controls behavior, memory, guardrails, and roadmap
- What Claude Mythos revealed by finding vulnerabilities in critical open-source software, and why the most exposed organizations are not always the best equipped to respond
- The governance and permissions gap: no mature standard yet exists for defining what an agent can access, what actions it can take, and how those boundaries get enforced and audited
- Why the frontier model race may be the wrong question: how small, locally deployable models running on enterprise hardware change the build-versus-rent calculus for CXOs
- What Mozilla is building and what a credible open-source alternative to Big Tech's agent platforms looks like today
Episode Participants
Raffi Krikorian is the Chief Technology Officer at Mozilla, where he leads the organization's open-source AI strategy. His career spans some of the most consequential technology deployments of the past two decades: VP of Platform Engineering at Twitter, Director of Uber's Advanced Technologies Center, where he launched the first commercial self-driving fleet, and first-ever CTO of the Democratic National Committee. He also writes Owners Not Renters, a Substack on open source AI, and contributes regularly to The Atlantic.
Michael Krigsman is a globally recognized analyst, strategic advisor, and industry commentator known for his deep expertise in business transformation, AI, and leadership. He has presented at industry events worldwide and written extensively on the reasons for IT failures. His work has been referenced in the media over 1,000 times and in more than 50 books and journal articles; his commentary on technology trends and business strategy reaches a global audience.
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