Let AI agents do real work, without letting them run or read anything they like.
AI agents don't just answer questions. They run commands and open files on real machines, with real permissions. Alesia's Agent Guardrails check what an agent tries to do and stop the dangerous parts, plus anything your policies forbid.
Built-in detectors catch destructive commands, and .env files are protected out of the box. Add your own protected paths for keys and credentials, and your own rules in policies, per team. They apply to every agent on every device: coding assistants, automation agents, and any other agent that can run commands or read files.
- Built-in detectors for dangerous commands
- Protected files kept out of reach
- Your own rules, per team
- Every blocked attempt logged
How an agent's action gets checked
When an agent tries to run a command or open a file, Alesia checks it on the device first. First, the command: built-in detectors catch destructive git, filesystem, database and cloud commands, such as a recursive delete or terraform destroy. Then, the file: the paths you protect, such as .env files, SSH keys, and credential stores, stay out of the agent's reach. On top of both sit your own rules from policy, such as no force-pushes to the main branch or no uploads to unapproved destinations, assigned per team. An action that passes goes ahead as normal. One that fails never happens, and the attempt is logged with the rule that stopped it.
Three actions that never happened
A developer asks an agent to clear out old build files. The agent picks the fastest route, a recursive delete, and gets the path wrong: it's about to remove the developer's entire home folder. Alesia stops the command before it runs, and the developer points the agent at the right folder. The next day, an agent debugging a failed deploy decides to read the project's .env file to check the configuration. Alesia keeps the file closed, so the production secrets never enter the agent's context. Later that week, an automation agent assembling a weekly report tries to upload a customer export to a file-sharing service. Your team's policy forbids uploads to unapproved destinations, so that command is stopped too. Every attempt shows up in the console, and none of it needed a person watching the agent in real time.
What changes for your team
Teams can hand agents real work without handing them unlimited reach. Security sets the rules once, in the same policies that already govern AI use, and they apply to every agent on every device. Nobody approves each step by hand, and nobody has to hope an agent leaves the secrets alone.
- Give agents real tasks without giving up control
- One set of rules for commands and files, on every device
- Blocked attempts logged for review
- No one needs to watch agents in real time
Say yes to AI.
Set the rules once. Alesia enforces them on every device, and prompts stay on your devices.