The impact of AI governance on consumer trust
Consumer trust in companies that use AI is falling. Only 23% of consumers trust companies to use AI responsibly with their data. The gap between adoption and governance is becoming a concrete reputational risk, as concrete as the regulatory risk that frameworks like GDPR, LGPD, and the EU AI Act already impose. This article explores […]
What AI governance tools exist for enterprises?
There are several categories of tools that cover different layers of AI governance: MLOps platforms to govern models, CASB and DLP to control access to AI tools, EDR to monitor endpoint behavior, SIEM to aggregate logs and correlate events, and GRC platforms for risk management and compliance. Most enterprise companies use more than one. What […]
What is AI governance and why does it matter for enterprises?
AI governance is the set of policies, processes, and controls that determine how a company develops, deploys, and monitors artificial intelligence systems. The goal: ensuring they operate within the legal, ethical, and security boundaries the organization has defined. This article explains what AI governance is, why it became urgent in 2026, and where to start. […]
Is Python a Security Risk for Enterprises?
Yes, and the biggest risk isn’t in your development team’s code. It’s in the scripts being created outside of IT. Python is now the world’s most popular programming language, holding 19.98% of the TIOBE Index (May 2026) — nearly double the second-place language. But that popularity has reached a tipping point for enterprises: Python has […]
How to Evaluate Your Automation Vendor’s Security Maturity: The Essential Checklist
A security-mature automation vendor does more than hold certifications: they encrypt credentials in transit, control what executes on your endpoints, maintain a documented incident response plan, and submit to independent audits over extended periods. Most vendors cover the first three. Almost none address what has grown fastest in 2026: ungoverned Python scripts and AI-generated automations […]
SOC 2 Type 2: What does it mean for Enterprise Automation Governance?
Key Insights (TL;DR) Gold Standard of Security: Unlike Type 1, SOC 2 Type 2 certifies that BotCity’s security controls function consistently over time (6 to 12 months). Digital Workforce Governance: Certification ensures that automation is not a risk, protecting sensitive data (PII) and guaranteeing operational continuity (Disaster Recovery). Processing Integrity: Ensures that robot outputs are […]
Your EDR is blind to Python: Here’s what’s already running in your endpoints
The proliferation of Generative AI (GenAI) and Large Language Models (LLMs) has ushered in a new era of innovation, but it has simultaneously created a formidable, and often invisible, security challenge: Shadow AI. This phenomenon is rapidly transforming the corporate technology landscape, positioning Python (the “lingua franca of AI”) as the new attack surface and […]
How to Monitor AI-Created Scripts on Corporate Endpoints
The ease enabled by generative AI has created an irreversible phenomenon. Business users can now produce functional code in seconds. This speed, however, has introduced Shadow Python, a layer of invisible automations operating outside the visibility of IT and Information Security. AI-created scripts are already running on workstations across your organization. Monitoring these executions is […]
How to Govern the Use of Python in Enterprises in the Age of AI
Python is already part of the daily operations of large enterprises. It runs across data, automation, finance, marketing, and operations and increasingly in the hands of business users supported by generative AI. Python has grown faster than governance. Today, governing the use of Python in enterprises is no longer a technical best practice but a […]
The Invisible Risk of Shadow Python: What the 700Credit Breach Teaches Us About Governance
When a breach makes headlines, the storyline usually comes pre-packaged: “an attacker got in,” “data was exposed,” “the company is notifying.” In the case of 700Credit, at least 5.6 million people had their name, address, date of birth, and SSN compromised. But incidents like this are rarely isolated accidents. They’re the most visible symptom of […]