Cybercrime Costs the World $1 Trillion A Month

2026-04-20 · Source: No Priors: AI, Machine Learning, Tech, & Startups · Field: Technology & Digital — Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning · Depth: Intermediate, quick

Summary

Cybercrime represents the world's third-largest economy, trailing only the US and China, costing an estimated one trillion dollars monthly. ServiceNow, through its integration with Armis, aims to provide corporations with a comprehensive view of their entire IT and OT (operating technology) landscape. This unified, automated AI platform will manage diverse environments, including networked devices, manufacturing tools (both connected and air-gapped), medical devices in healthcare, and critical infrastructure within financial institutions. The objective is to offer a complete purview for business reinvention and enhanced security across all operational facets.

Key takeaway

For CTOs and security architects evaluating enterprise-wide protection strategies, the integration of IT and OT security into a single, AI-driven platform is critical. Your organization can gain a full purview of all connected and unconnected devices, from manufacturing to medical, enabling proactive defense against the trillion-dollar cybercrime economy. Prioritize solutions that offer unified visibility and automated management across your entire operational landscape.

Key insights

Cybercrime is a trillion-dollar monthly problem requiring unified IT/OT security platforms.

Principles

• Unified IT/OT visibility is crucial.
• AI automation enhances security purview.

Method

Integrate security platforms like Armis into a central management system (ServiceNow) to provide an automated AI platform for comprehensive IT/OT landscape visibility.

In practice

• Consolidate IT and OT security.
• Automate threat detection with AI.
• Monitor air-gapped manufacturing tools.

Topics

• Cybercrime Costs
• IT/OT Management
• ServiceNow
• Armis
• AI Platform

Best for: AI Security Engineer, CTO, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by No Priors: AI, Machine Learning, Tech, & Startups.