Stop AI coding agents from causing your next security incident
Sielum sets one policy for every AI coding agent your teams run, writes it into each tool's own configuration on every machine, and proves it is actually in force. Including on the tools no admin console reaches.
Covers
Not another EDR, DLP or vendor console
EDR and DLP were not built to understand an AI agent session, an MCP server registration or a managed settings file. And the admin consoles from Anthropic, GitHub and Cursor now govern their own tool well, use them. The gap opens the moment a developer runs a second tool, signs in with a personal account, or uses something no console was ever told about.
See the full comparison against EDR, DLP and vendor consoles →You have an AI policy. Can you show it holds on one laptop?
One command, and the database is gone
Your agents run with the credentials of whoever started them. They can delete, publish or reconfigure in a single step, and you find out afterwards.
You set the rule in one console. It is not the rule in the other four.
Every tool ships its own console, and no vendor governs a competitor's tool. From the third tool on, there is nothing on the market that closes this.
You can say what you sent. You cannot say what stuck.
A laptop that never applied your rules looks exactly like one that did. Every failure here is silent, and the incident is how you learn.
The better model is on an account you do not manage
An agent works with whatever access the person running it holds. A private account reaches the same vendor the same way, and nothing that governs your tenant sees it.
Not sure which of these apply to you?
Six questions about the tools your teams already run. It tells you which areas your existing controls genuinely cover, which ones nothing on the market covers, and how to check each one yourself.
Product Demo
See it in action
Live agent inventory, API connection tracking, and policy enforcement, all in one dashboard.
The Platform
Set the rules once. They are the rules on every machine.
Built for how teams actually use Claude Code, Copilot, and Cursor, not generic agent theory.
Full product details →Define and enforce how agents operate
Set the rule once. Sielum writes it into every tool's own settings, on every machine, then checks each machine and shows you where it did not hold.
- One set of rules, compiled per tool
- Config Guard: tamper proof at the OS level
- Unsafe mode detection with automatic remediation
- Approval workflows: agents pause for a human decision
- Network egress blocking: block only, IP resolved, TLS blind, machine wide
See every agent, and every API it talks to
Sielum scans running processes and config files for a live inventory, and tracks every outbound AI API call at the network layer. No proxy, no file contents.
- Live agent & MCP server inventory (Claude Code, Cursor, Copilot, …)
- Per-endpoint outbound API map with provider attribution
- Config snapshots & diff history
Export audit evidence for every framework
Every policy event and config change is written to an append-only audit log. Export SOC 2, EU AI Act, and GDPR evidence on demand.
- Append-only audit log (JSON / CSV export)
- PDF compliance reports: SOC 2, EU AI Act
- Device-level mTLS ties every record to a real endpoint
Why Sielum
The one place every tool meets
Your rules, written into each tool's own settings and checked on the machine. No vendor will do this for a competitor's tool, which is why no vendor console can.
Sovereign
Sovereign means control, not a data centre address. You decide where agents run and who can change the rules, verified by a party that does not sell you the AI tool. Hosted in the EU on Hetzner in Germany, GDPR compliant by design.
Endpoint level truth
Sees what is actually running on each machine, including shadow tools and personal accounts. The agent monitors locally on the endpoint: no traffic rerouted through our servers, and we never read prompts.
How It Works
Deployed without an enterprise project
Tell us about your environment, we provision your account, and the agent is live within minutes of install.
Request access
Tell us about your environment and we set up your account. We provision access manually so every deployment starts with a short onboarding.
Request access →Install the agent
One command. Runs natively on Linux, macOS, and Windows. No Docker, no sidecar, no proxy. The agent needs direct OS access to see what's actually running.
View documentation →Rules in force, and read back
Every AI tool running on every endpoint. Every API connection. Every MCP server. Live in the dashboard, within 15 minutes of installation.
Set the rules once. Know they hold.
Fourteen days, on your own machines, with the tools your teams already run.