Know exactly what Python is doing on your endpoints.
Monitor and govern databases, internal
APIs, files and credentials in one platform.
Trusted by 1000+ companies in 70+ countries
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Benefits
See when Python accesses data
Identify when Python scripts access databases, internal APIs, and sensitive data directly on endpoints.
Evidence instead of guesswork
Prove what ran, where it ran, and which data was accessed, with an auditable trail ready for security, compliance, and audit.
Control Shadow Python
Govern Python scripts running outside official pipelines, invisible to traditional policies and controls at the endpoint.
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Govern what generic tools only detect
Sentinel operates after the code already exists, observing real execution, understanding behavior, dependencies, data access, and enabling continuous governance.
Inventory of Python scripts at endpoints
Shows what code is doing in real time
Detects Python touching internal DBs/APIs
Audit-ready evidence trail
Policy enforcement by runtime
Why Choose BotCity Sentinel
Execution Event Analysis
Each Python script execution generates a detailed alert, with full event context, recommended actions, and direct evidence for analysis and decision-making.
Alert-based monitoring
Continuous alerts on risks in execution, including access to sensitive data, atypical Python behavior, suspicious traffic, and vulnerabilities in code and libraries.
Risk-driven governance
Governance and Security gain continuous visibility into risks in execution, with enough context to prioritize, decide, and act based on evidence.
Understand risk at the source
Each alert includes a detailed description, recommended actions, and the exact code snippet where the exposure occurs, enabling fast root-cause understanding and precise response.
Executive Dashboard
Centralized visibility into Shadow Python running on endpoints, with analysis of alert recurrence and trends by risk type
Learn more about the topic
Guides, case studies, and insights to accelerate your governance journey.
Structure your governance strategy with BotCity
- Initial assessment of Python + AI usage across endpoints, critical processes, and official automation pipelines.
- Architecture recommendations combining Sentinel, Orchestrator, Insights, and Opportunity Hub for a complete governance journey.
- Investment estimate aligned with your risk level, scale, and support needs.
FAQ
BotCity is a Python + AI governance platform. It combines:Endpoint security and visibility with BotCity Sentinel.
- Orchestration and operation of scripts and agents with Orchestrator.
- Demand management and development with Discovery and Dev Tools.
- Results measurement with BotCity Insights.
The goal is to enable your company to use Python + AI at scale, with governance, security, and audit-ready evidence.
No. You can start with the most critical point today, for example:
- Sentinel to monitor Python+AI on endpoints.
- Orchestrator + Insights to govern already official automation and AI agents.
From there, you can evolve to Discovery and Dev Tools, building end-to-end governance as maturity increases. Our team can help define the ideal entry point for your context.
No. The BotCity ecosystem can orchestrate automations across different languages and stacks.
What BotCity chose to deeply specialize in is Python + AI governance on endpoints, where LLMs and copilots have made it easier for business teams to run scripts and small agents outside official pipelines.
That is why we created Sentinel: a layer of visibility and evidence for Python in execution, without slowing down teams.
The platform provides:
An inventory of Python + AI running both on endpoints (Sentinel) and in official pipelines (Orchestrator).
- Audit trails showing who executed what, when, how, and which process or system was involved.
- Executive dashboards and reports in Insights, connecting risk, performance, and automation results.
This makes conversations with auditors, risk committees, and regulators easier—based on evidence, not perception.
No. Sentinel complements these tools, operating where they do not reach:
Python + AI running on endpoints, with a focus on governance and compliance.
No. Sentinel was not created to prohibit usage, but to provide visibility, context, and control over what is already running.
No. It observes real code execution, including local scripts created by business users or with AI assistance
No. Sentinel typically starts with a limited scope, quickly delivering a clear diagnostic of risk and compliance.
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"Adopting Python for our operations was intended to give us greater freedom in advanced research. Python’s extensive libraries, particularly those focused on artificial intelligence, offer capabilities that are more challenging to achieve with other tools.”
Luis Arantes Filho
DX Coordinator at LG Electronics
What impressed us most about BotCity's solution was the flexibility and parallelism it offers. I was able to distribute tasks across runners and further optimize process execution. The transition from low code to high code with Python was a big step for our team, and the ease of orchestrating automations, along with the support and active community of BotCity, made all the difference.
Maykon Ponce, Solutions Manager at Grupo Saga
We were using a low-code platform, and after adopting BotCity, our RPA initiative scaled up more rapidly. We accelerated the increase of ROI and FTE and also reduced license costs.
Pieter Vosholyn, IT Manager at Andrade Gutierrez
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"The adoption of BotCity has been a true game-changer for Bayer's operations in Latin America, enabling us to triple automations, reduce costs, and empower our citizen developers with the autonomy to lead digital transformation across the organization. This initiative is already being evaluated for global expansion, solidifying our position at the forefront of innovation."
Rafael Muniz, Intelligent Automation Manager - Bayer LATAM
