AI
Governance Layer
(Runtime Control for LLM Usage)
Most organisations have no real visibility or control over how their teams and systems are using LLMs.Systango built a runtime governance layer that intercepts every LLM interaction across
browsers, applications, and APIs, before exposure becomes an incident.
The Gap Between AI Adoption And AI Governance Is Growing
Employees use AI tools every day to do real work. That is not the problem. The problem is there is no control layer between your people and those tools.
01
Sensitive data leaking into prompts
02
No visibility into what AI is doing
03
No audit trail
04
No cost control
05
No compliance enforcement
What Systango Built
A runtime governance layer that sits between your users/systems and LLMs.
Systango built a runtime governance layer, Inhibitor, that intercepts, analyses, enforces, and logs every
LLM interaction, whether it originates from a browser, an application, or an API call.
18+
Environments deployed
63%
Sensitive data exposure detected in pilot
92%
PII/confidential leaks prevented
50K+
LLM interactions logged weekly
37%
AI cost reduction
150+
Engineers using internally
AI Runtime Governance Architecture
Capabilities
1
Input Governance
Scans and redacts PII, financials, and confidential content before it reaches an LLM automatically, regardless of user behaviour.
2
Policy Enforcement
Applies GDPR and SOC2-aligned rules at the moment of use, not after. Your compliance policy becomes a live technical control.
3
Full Traceability
Every prompt, input, output, and context logged automatically in real time. When a regulator asks, you can answer.
4
Cost Control
Tracks token spend per user, team, or application. Alerts or auto-stops before the bill arrives, not after.
5
Runtime Interception
Sits between every LLM entry point, browser, app, or API. No interaction reaches an LLM without passing through first.
This is what governance changes
No Governance
Uncontrolled AI usage
Direct LLM access
Users connect to LLMs with zero interception or filtering
Data leakage undetected
PII, financials, and IP pass through completely undetected
Zero visibility
No record of what was sent to or returned from LLMs
No audit trail
Cannot demonstrate compliance or investigate incidents
Late discovery
Exposure found only after it becomes a serious problem
Full Governance
Runtime AI control plane
Every interaction intercepted
All LLM traffic passes through a runtime control layer
Sensitive data blocked
PII detected, redacted, or stopped before transmission
Real-time visibility
Live view of every LLM interaction across the organisation
Automatic audit trail
GDPR + SOC2 log built automatically, not reconstructed later
Blocked before leakage
Users warned and stopped before data leaves, not afterwards
Govern from your
browser
The “AI Risk Checker Chrome Extension” demonstrates how governance
works at the individual level, inside the browser, at the exact moment an
employee interacts with an AI tool.
What this extension gives you:
01
Coverage across
AI tools
02
Basic PII detection
and flagging
03
7-day rolling
audit log
04
Shareable AI Governance
Gap Report
