Security firm finds naming AI agents after Seinfeld characters helps bots join the team

What happened

A cybersecurity firm has found that giving AI agents casual, human-sounding names — including references to sitcom characters such as those from Seinfeld — makes employees more likely to treat the agents as trusted colleagues rather than software tools. The research, reported by The Register, suggests that naming conventions materially shape how staff perceive, interact with and extend trust to autonomous AI systems operating inside their organisations.

The finding emerged from work examining how AI agents are being integrated into workplace teams, and it points to a behavioral blind spot: informal, personable naming appears to lower employees' guard, encouraging them to treat agents as peers deserving of the same latitude as human colleagues — potentially without applying the scrutiny or oversight that non-human systems warrant.

Why it matters

As organisations deploy more autonomous AI agents into day-to-day workflows, how those agents are presented — their names, tone and apparent personality — is proving to be as consequential as their actual capabilities. This is a direct behavioral economics story: small design choices, such as a friendly name, can trigger social reasoning (the tendency to anthropomorphise and extend trust) in contexts where a more cautious, tool-like framing would be safer.

For leaders rolling out AI agents, the implication is that adoption and usability gains from "humanising" AI may come paired with governance risk. If staff instinctively treat an agent as a trusted team member because of its name or persona, they may be less likely to question its outputs, verify its actions, or flag anomalies — precisely the oversight behaviours organisations need as agentic AI takes on more autonomous tasks.

The Renascence take

This finding lands at the intersection of experience design and risk management, and most organisations are only thinking about the first half of that equation.

Naming an AI agent is never a neutral act — it's a trust signal, and trust signals change behaviour. The same design choice that makes an agent easier to adopt can quietly erode the scepticism employees should retain toward autonomous systems. Customer- and employee-obsessed operators should treat agent personas as a governance decision, not just a UX flourish: pair any humanising design with explicit, visible cues about what the agent is, what it can't do, and when a human must step in. The goal isn't to make AI agents feel less likeable — it's to make sure likeability never substitutes for accountability.