Knowra Trade secret Trade secret A trade secret is confidential business information that gains economic value from not being generally known and is protected when its holder takes reasonable steps to preserve its secrecy.
Uniform Trade Secrets Act : A model state law defining trade secrets and providing civil remedies for misappropriation. Its definition links secrecy, economic value, and reasonable protective measures.
Patent : A time-limited exclusive right granted for a qualifying invention disclosed in a patent application. A patent requires public disclosure, while trade-secret protection depends on continued secrecy.
Coca-Cola formula : The closely guarded formula used to produce Coca-Cola. It is a famous example of valuable information kept secret rather than patented.
Employee mobility : The movement of workers between jobs, employers, or occupations. Workers carry general skills to new jobs, but may not lawfully disclose former employers’ trade secrets.
Reverse engineering : The analysis of a product or system to infer how it was designed or made. Lawful reverse engineering can reveal secret information without misappropriation.
Defend Trade Secrets Act : A United States federal law allowing civil lawsuits for trade-secret misappropriation. It provides a federal route to sue over qualifying misappropriation.
Copyright : A legal right protecting original expression fixed in a tangible medium. Copyright protects expression, not the underlying business facts or methods kept secret.
Google Search algorithm : The computational methods Google uses to rank and retrieve search results. Search-ranking methods illustrate commercially valuable know-how that can be kept confidential.
Non-compete clause : A contractual provision restricting a worker or business owner from competing after a relationship ends. Non-competes can restrict conduct beyond trade-secret law and are subject to separate legal limits.
Artificial intelligence training data : Data used to train machine-learning models, including text, images, and other material. Using confidential datasets for model training raises questions about access, secrecy, and permitted use.
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