Description
As AI systems become more capable of reasoning, using tools, accessing data, and taking action on their own, a new question is becoming impossible to ignore: how much autonomy should we actually give them?
In this episode of Ship Happens, host Per Krogslund sits down with Justin Kuiper, Lead Architect at Future Tech, to explore the security and governance challenges of agentic AI—and what engineers can do to keep increasingly autonomous systems within safe and understandable boundaries.
With a background in Air Force space operations and cybersecurity, Justin brings lessons from mission-critical systems to the rapidly evolving world of AI. He explains how different environments prioritize availability, confidentiality, and mission assurance, and why those tradeoffs become even more important when software can make decisions and take actions with real-world consequences.
Per and Justin dig into the importance of human governance, least privilege, agent identity, observability, break-glass controls, and specification engineering. They explore the risk of “confident misalignment”—when an AI system confidently pursues an outcome that isn't actually what its human operators intended—and why giving agents more capability doesn't mean giving them unlimited authority.
The conversation also looks at AI in space, data sovereignty, model selection, token economics, and the emerging challenge of securing entire agent ecosystems rather than individual applications.
The practical message for builders is clear: define what your agents are allowed to do, know who is responsible for their actions, constrain their access, observe what they're doing, document the system, and keep humans in control when the stakes are high.
Because autonomous software can move fast. Your governance needs to move with it.
What You’ll Learn:
• Why agentic AI introduces a different class of security and governance challenges
• What space systems can teach us about designing software for high-consequence environments
• Why human governance becomes more important as AI systems become more autonomous
• What “confident misalignment” means and why it can be dangerous
• How least privilege can be applied to AI agents and the tools they use
• Why every agent needs a clear identity and an accountable owner
• How observability and break-glass controls can help keep autonomous workflows under control
• Why the workflow—not just the individual application—can become the security problem
• How specification engineering can create stronger guardrails around AI behavior
• What data sovereignty means in an increasingly agent-driven ecosystem
• How model selection and token economics factor into AI architecture
• Why organizations need to decide on an agentic operating model before deploying autonomous systems
• Why “fail closed” can be an important principle for high-consequence AI systems
About Justin Kuiper:
Justin Kuiper is a Lead Architect at Future Tech with a background in Air Force space operations and cybersecurity. His experience working with complex, mission-critical systems gives him a unique perspective on the challenges of securing increasingly autonomous technology.
In this episode, Justin connects lessons from space systems and cybersecurity with the emerging world of agentic AI, exploring how engineers can build systems that are not only capable, but also constrained, observable, and accountable.