When a security team reviews an AI writing tool, the first question is rarely about features. It is about where the tool runs and who can reach the data while it does.<\/p>\n
The answer is not one-size-fits-all. A tool can run in the vendor’s cloud, on a private server in a location you choose, inside your own infrastructure, or on a single laptop with no internet at all. Each option suits a different need.<\/p>\n
1. Cloud with zero retention<\/strong><\/p>\n Text is sent to the vendor’s servers for processing and deleted once the check is done. It is the fastest way to roll a tool out across teams, since there is nothing to install on your side. The questions that matter are where those servers sit and what is kept afterward.<\/p>\n 2. A private server in a location you choose<\/strong><\/p>\n The tool runs on dedicated servers placed where your requirements say they should be. This suits organizations whose contracts or policies expect data to stay in a particular region.<\/p>\n 3. On-premise<\/strong><\/p>\n The tool runs on your own infrastructure. This gives the most control, since data does not leave your environment, but it needs involvement from your IT team and agreed support from the vendor.<\/p>\n 4. Offline desktop app<\/strong><\/p>\n Documents stay on the user’s device and the check runs without an internet connection. This is the option for air-gapped settings and for the most sensitive material.<\/p>\n Separate from where the tool runs is how people reach it. Many organizations want writing support inside their own portal, learning management system, or internal tools. An API, SDK, or JavaScript snippet lets a vendor’s checks sit inside a platform you already use, so staff do not have to switch tools.<\/p>\n Many organizations combine options. For example, cloud with zero retention for everyday work, and the offline app for the few documents that cannot leave a device.<\/p>\n More control usually means more effort. Running a tool on your own infrastructure means thinking about installation, updates, capacity, access management, and who supports it when something breaks. Cloud shifts most of that to the vendor, in exchange for sending text outside your walls, even briefly.<\/p>\n Neither is better in general. The right choice depends on how sensitive the content is and how much operational work your team can take on.<\/p>\n Who operates the service, and where does processing happen?<\/p>\n<\/div>\n<\/div>\n<\/li>\n What is stored, for how long, and is any of it used for training?<\/p>\n<\/div>\n<\/div>\n<\/li>\n What deployment options exist, and which plans include them?<\/p>\n<\/div>\n<\/div>\n<\/li>\nThe Integration Layer<\/h2>\n
Matching the Option to the Need<\/h2>\n
\n\n
\n If you need…<\/th>\n Consider…<\/th>\n<\/tr>\n \n A quick rollout across many teams<\/td>\n Cloud with zero retention<\/td>\n<\/tr>\n \n Data kept in a specific region<\/td>\n Private server or on-premise<\/td>\n<\/tr>\n \n Nothing to leave your network<\/td>\n On-premise or offline app<\/td>\n<\/tr>\n \n No internet connection at all<\/td>\n Offline desktop app<\/td>\n<\/tr>\n \n Writing support inside your own platform<\/td>\n API, SDK, or JavaScript integration<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n The Trade-Off: Control and Effort<\/h2>\n
Questions to Ask Any Vendor<\/h2>\n
\n