AI and agent security
AI agents read your data, call your tools and act with your credentials. Most access controls, detections and audit trails assume a person did that work. Trellis closes the gap before an agent becomes the path into your customers’ data.
What it includes
- Removal of standing credentials that let an agent act in production
- Agent permissions scoped to each agent’s task
- Lockdown of the connectors, including MCP servers, that link AI tools to your data
- Boundaries on which internal documents feed model answers
- Control over who can call which models with which data
- Security skill files for Claude Code, Cursor and GitHub Copilot, so assistants write the secure version the first time
What you get
Your agents keep a broad capability surface, and every action they take is authorized, logged and attributable.
How it runs
Every engagement is scoped to your organization, its size and its risk, with a fixed price or monthly retainer agreed before work starts.
Trellis works inside your environment with read-only access your team can revoke at any time, and delivers every change as a pull request or configuration change your engineers approve. Trellis never holds standing administrator access. Read how Trellis works →
Other services
Talk through your situation.
Thirty minutes with Nick. Bring your questions, and we’ll work through the options together. If Trellis isn’t the right fit, we’ll introduce you to someone who is.
Not ready for a call? Email hello [at] trellissecurityadvisors.com