trade secrets

Apple's security practices weaken its trade secrets claim, OpenAI argues.

Apple's trade secrets case against a former engineer just hit a snag, and it's one of Apple's own making.

3 min readTechCrunch
Apple's security practices weaken its trade secrets claim, OpenAI argues.

The legal battle between Apple and OpenAI has taken a turn that should matter to anyone who builds on someone else's platform. OpenAI's newly filed exhibits argue that Apple's own security and offboarding practices undermine the trade secrets case against it. Specifically, the fact that an Apple manager was allowed to access a former engineer's iCloud account after he left the company cuts directly against Apple's claim that the allegedly stolen information was properly protected. This is not a side argument. It goes to the heart of what a trade secret even is. If a company does not treat its own data as secret, it is hard to argue that a former employee had a duty to treat it as such. The same logic applies to the recent AI Agents Shared User Images, Highlighting Data Security Concerns, where unauthorized access was the problem, not just the tool that enabled it.

For our readers, this is a practical reminder that security is not a feature you declare. It is a practice you maintain. Apple's argument depends on the idea that its internal controls were robust enough to protect its secrets. But if an iCloud account remained accessible to a manager after an engineer's departure, that suggests a gap between policy and execution. And that gap is not a minor oversight. It is the kind of vulnerability that undermines trust in the entire system. We have seen similar concerns in the AI Agent Swarms Explore Online Data, Raising Research Questions, where autonomous agents operated in ways that outpaced the safeguards around them. The pattern is consistent: the technology moves faster than the controls meant to govern it.

What we would tell a reader who asks about this case is straightforward. Do not assume that a company's security posture matches its public reputation. Apple has built its brand on privacy, and that makes this case particularly awkward. But the lesson is not that Apple is hypocritical. The lesson is that trade secret protection requires constant, verifiable effort. If you are a startup or an individual developer, this should guide how you handle your own data. You cannot rely on a legal claim to protect something you did not actively protect. The same principle applies to how you treat other people's data. The Meta’s Muse AI Agent Gains Ground in Conversational Performance story shows how quickly AI agents are being deployed, often without the same rigor applied to their data handling. That is a risk, not just for the companies involved, but for the users who trust them.

The open question here is whether Apple can show that its internal practices were sufficient despite the iCloud access. That is a high bar, and it should be. If the court finds that Apple's offboarding process was sloppy, it could set a precedent that weakens trade secret claims across the industry. That would be a significant consequence, not just for Apple and OpenAI, but for every company that expects former employees to keep secrets. Watch this case closely. The outcome will tell you how much weight your own security practices carry in court.

From TechCrunch

Newly filed court exhibits show OpenAI’s legal strategy in Apple’s trade secrets lawsuit: argue that Apple’s own security and offboarding practices — including allowing an Apple manager to access a former engineer’s iCloud account after he left the company —undermine its claims that the allegedly stolen information was properly protected.

Read the original at TechCrunch