Unlock Python and AI in your company with visibility and governance

Python is already running on your endpoints. Learn how to govern that usage to scale with security and operational consistency.

Talk to BotCity experts and discover how to bring visibility to Python automations already running on your company's workstations.

Map the real usage of Python on endpoints
Understand which automations are already handling critical processes
Identify risks and governance gaps based on evidence
Structure continuous control without blocking the business

More than 1,000 companies

trust BotCity to govern Python at scale.

BotCity Sentinel

First monitoring agent for Python and AI

BotCity Sentinel monitors real Python executions, identifies risks, and delivers control without blocking legitimate Python users.

Complete Inventory

Python + AI in execution — by area, user, and machine.

Audit Trails

Who ran what, when, and with what impact.

Compliance Score

 Based on your internal policies and security best practices.

Executive Report

Compliance with findings, severity, and prioritized recommendations.

Shadow Python Risk Assessment

What changes when you govern Python at scale

When governance is in operation, Python stops being a blind spot and becomes a controlled company capability.

01

Unlock innovation with operational security

Allow departments to use Python and AI with real control.

02

Make decisions based on evidence

Understand exactly what is running and what the impact is.

03

Respond to audits with confidence

Have a complete execution and compliance trail.

04

Reduce risk without blocking productivity

Control behavior without restricting usage.

05

Scale automation with consistency

 Transform local initiatives into governed capability.

Where the main exposure points are

These vectors already exist in corporate environments. The challenge is that the current stack does not observe the behavior of Python code in execution.

Data Exfiltration

 Sending data to external APIs

Regulatory Violations

Absence of trail and control

Malicious Packages

Vulnerable dependencies via pip

Exposed Credentials

Tokens and passwords in code

No Audit

 Lack of execution history

See where these points are in your environment

Shadow Python Risk Assessment

Request an initial diagnosis of Python usage

Fill out the form to receive an initial assessment of Python usage on your endpoints.

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Python governance specialists

Risk Assessment

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