Monitor & Govern
AI Agents
We built AI security the way you wanted it: simple, affordable and fast — providing full visibility and real-time control to help you get the most out of agentic AI.
Monitors
Your developers use AI coding tools. Do you know which ones — and what they send?
You don't know which AI coding tools are on developer machines
Claude Code, Copilot, Cursor, Windsurf — developers install AI coding assistants without IT approval. By the time you find out, code is already flowing to external APIs.
You don't know:
- ·which tools are active on which laptops
- ·what model versions or MCP plugins are loaded
- ·whether unapproved tools appeared overnight
AI coding tools send your source code to external APIs
Every prompt in Copilot or Claude Code may contain proprietary logic, credentials, or customer data — sent to an external LLM provider without your approval or oversight.
You risk:
- ·source code leaked to unapproved AI providers
- ·MCP servers with unrestricted internet access
- ·shadow integrations IT has never reviewed
Existing security tools can't govern AI coding tool activity
EDR and DLP tools monitor files and network traffic — but they can't interpret AI coding tool sessions, MCP server registrations, or per-tool API routing. You're flying blind.
You can't:
- ·enforce per-tool network allowlists
- ·inventory MCP extensions fleet-wide
- ·produce audit evidence tied to individual endpoints
The Platform
See, control, and govern AI coding tools
Built for how developers actually use Claude Code, Copilot, and Cursor — not generic agent theory.
Full product details →See every AI agent on every machine
Sielum scans running processes and config files to build a live inventory — without proxying traffic or reading file contents.
- Agent inventory (Claude Code, Cursor, Copilot, and more)
- MCP server inventory per endpoint
- API connection tracking at the network layer
- Config snapshots & diff history
“From unknown shadow-AI to a live, auditable inventory”
Monitor the APIs your agents talk to
Real-time telemetry for every outbound AI API call. Know which providers receive your code and data — and block unapproved endpoints with one click.
- Per-endpoint outbound connection map
- Provider attribution (OpenAI, Anthropic, GitHub, etc.)
- Network-layer domain blocking (iptables / pf / WFP)
- Alert on unapproved API destinations
“Full visibility into what leaves your network — and control over it”
Define and enforce how agents operate
Set boundaries for which agents are allowed, which APIs they may contact, and which MCP servers are permitted — enforced at the network layer.
- Policy engine with 4 built-in alert types
- Config Guard: push managed_settings fleet-wide
- Unsafe mode detection & alerting
- Multi-tenant isolation with Row-Level Security
“Policy-as-config — enforced, not just recommended”
Export audit evidence for every compliance framework
Every policy event and config change is written to an immutable audit log. Export SOC 2, EU AI Act, and GDPR evidence on demand.
- Immutable audit log (JSON / CSV export)
- PDF compliance reports: SOC 2, EU AI Act
- GDPR Art. 17 deletion controls
- Device-level mTLS ties every record to a real endpoint
“Audit-ready without audit prep”
How It Works
Up and running in 15 minutes
No demo call required. No sales cycle. No enterprise deployment project.
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.
Agents register automatically
Each agent enrolls via mTLS in under a minute. Device certificates are issued automatically — no shared secrets, no manual config, no token sprawl.
See everything. Instantly.
Every AI tool running on every endpoint. Every API connection. Every MCP server. Live in the dashboard — within 15 minutes of installation.
Start governing your AI agents today
Gain visibility, control, and trust in your AI systems.
Up and running in 15 minutes. No demo call required. No deployment project.