This Audit Trail Database tracks exactly who accesses or alters your sensitive corporate files and when. It provides a reliable ledger that keeps your team accountable and your data protected.
The template connects three core tables: Users, Files, and Audit Logs. When a user interacts with a financial statement or contract, an unalterable log is created linking the person directly to their precise action.
Built-in AI automatically writes narrative descriptions of every event and classifies the security risk from low to high in real time. It also auto-generates helpful summaries for your restricted files based on their type and name.
Trying to maintain an accurate audit log in a spreadsheet quickly becomes a massive security risk. Rows can be accidentally deleted, formulas break, and tracking the exact history of who touched a specific confidential file over time is nearly impossible.
In a structured system, your data stays strictly organized and protected from tampering. A timestamp is always a true timestamp, and you can reliably link a specific user to a downloaded file without messy VLOOKUPs.
This is exactly what Softr Databases are designed for. As your compliance needs scale, your tracking structure remains clean, connected, and completely reliable.
Keep a persistent, uneditable record of every view, edit, or download across all your restricted corporate documents.
Leverage built-in AI fields to automatically evaluate every logged action and flag high-risk behavior instantly before it becomes an issue.
Manage personnel profiles and access rights for sensitive corporate data
Store sensitive documents with AI-generated descriptions for better context
Track file interactions with AI-powered event narratives and risk analysis
This template is built for teams that manage sensitive information and require strict accountability.
Customize the database
You can easily rename classification levels or add new document types like NDAs to the drop-down fields. Because this is a native database, adjusting the structure takes just a few clicks.
Import your existing data
Quickly upload your current directory of personnel and historical logs via CSV. You can also use the API to sync live access events directly from your other corporate tools.
Build a full app around it
When you're ready, you can transform this ledger into a fully functional internal portal. You can create custom dashboards for department heads to monitor their own teams effortlessly.
By setting up specific users and permissions, you ensure that managers only see logs relevant to their department, while admins maintain full system oversight. A well-structured backend makes building these secure applications extremely simple.
An audit trail database is a secure, chronological ledger that tracks interactions with sensitive files. It records exactly who performed an action, what file was accessed, and precisely when it occurred to maintain team accountability.
No-code databases give you a production-ready compliance tool without writing a single line of backend logic. They enforce strict data structures that are much harder to accidentally corrupt than traditional spreadsheets, giving you instant autonomy over your security tracking.
AI acts as an automated compliance assistant by reviewing log events exactly as they happen. In this template, Database AI agents automatically write descriptive summaries of user actions and instantly classify the severity of every security risk so your team doesn't have to evaluate them manually.
Yes, you can seamlessly connect your data to Softr's interface builder to create a custom compliance portal. This allows you to set up granular access rules so executives see high-level risk dashboards while IT admins view detailed, unedited event logs.
Yes, this template is completely free to get started. Softr's free plan includes full database capabilities so you can begin tracking file access securely. Higher-tier plans offer expanded record limits as your corporate logs grow over time.
Spreadsheets lack the structural integrity needed for true security compliance. In a spreadsheet, it is far too easy to accidentally delete a row or overwrite a historical timestamp, whereas a structured database uses unalterable creation dates and robust relational constraints to maintain a reliable ledger.