Business

Atlassian Forces AI Agents to Carry Employee ID Badges

The new Agentic Multiplayer Protocol ties every automated action to a human owner to prevent corporate data leaks.

Atlassian is assigning digital identities and human owners to every artificial intelligence agent operating inside its workplace software, a structural change designed to block employees from blaming automated tools for errors or data leaks.

The Sydney-based enterprise software company launched what it calls the Agentic Multiplayer Protocol on Oct. 6. The system forces AI agents to function as visible, governed members of project teams with distinct profiles rather than invisible background processes. Every edit an agent makes registers in document histories exactly like a human colleague’s keystrokes.

“That’s ChatGPT on behalf of Mike. Like, that’s Mike using ChatGPT. It’s not ChatGPT doing it,” Atlassian cofounder Mike Cannon-Brookes told Fortune on the sidelines of the Singapore Grand Prix. “The accountability is with Mike. It has to be with the end user, ultimately.”

The protocol targets a specific vulnerability in corporate environments where workers increasingly rely on generative tools to draft reports, write code, or synthesize internal data. If an agent hallucinates a figure or exposes proprietary information, Atlassian wants the audit trail pointing directly at the employee who prompted it. “You have to be able to see who did what when,” Cannon-Brookes said. He rejected the idea that a program might incorrectly log an action as performed by Codex. “No, it didn’t—someone did that,” he affirmed.

This governance model clashes directly with the design philosophy driving consumer-focused AI products. Meta’s Muse and OpenAI’s Dots operate by obscuring their underlying mechanics. Cannon-Brookes described those personal AI agents as “taking an agentic harness and change the interact to make it invisible, as to what it’s doing.” While acceptable for individual consumers, hidden operations pose severe compliance risks for corporations managing strict permissions architecture.

“If you’re making something on Muse, it’s probably just for you,” he said. “In a workplace, there’s a lot of conversation around permissions, security, and compliance.”

The danger scales quickly when employees feed privileged documents into opaque interfaces. Cannon-Brookes cited a scenario where a worker uses company files to generate a visual chart. “But if that’s based on [internal] documents, you’ve got to be very careful if you’re sending that to anybody, they can see the same focuments, and you don’t want to leak information.”

Beyond security, Atlassian is attempting to fix a broader usability failure across the industry. Despite rapid advances in underlying models, most AI interfaces remain difficult for average workers to navigate effectively. “AI can do amazing, crazily super-powerful things. Most people do very basic things because of the interface,” Cannon-Brookes said. “The experience is very poor.”

He compared the current state of AI interaction to early word processors stripped of their graphical toolbars. “If you think about Microsoft Word with the toolbar, you learn how to use bold and italics,” he explained. “If all that disappeared and it was only keyboard shortcuts, everyone’s documents end up looking like plain text.”

The October rollout builds on infrastructure Atlassian deployed last year. In 2024, the firm launched Rovo, an in-house AI assistant designed to connect people, projects, code, and company knowledge across Atlassian and various external platforms. “We’ve had to invent a lot of new foundational design patterns that feel familiar,” Cannon-Brookes said, pointing to features allowing users to link their Atlassian accounts with third-party tools like Figma, Codex, or Claude, and seamlessly toggle between them.

Atlassian built its initial dominance through the bug-tracking tool Jira and the collaboration platform Confluence. The company generated $1.8 billion in revenue in the quarter ended June 30, beating analysts’ average estimate of $1.7 billion, according to Reuters. That financial performance followed a brutal restructuring. The firm slashed its workforce by 10% in March—a move affecting roughly 1,600 employees—as part of a pivot to AI and enterprise sales.

Operating out of Australia presents unique logistical realities, though Cannon-Brookes dismissed concerns that geographic distance isolates local firms from U.S. capital and customers. “In most Australian technology companies, you’re pretty global pretty fast,” he said. “Our first customer was in England, and our second customer was in Sweden…We don’t have much of a consumptive market in Australia so we’re big exporters and travelers, but also big makers of things since we have lots of great natural resources.”

Atlassian opened its first U.S. office in 2005 and listed on the NASDAQ in 2015. Today, it maintains staff in 49 of the 50 states. “I forget. I think it’s like Idaho or something,” Cannon-Brookes said regarding the single holdout. “I should keep updating that stat.”

Related Articles