AI Risk Management 

AI Tokenomics: The Missing Link Between AI Innovation and Cost Control
clockJun 24,2026

AI Tokenomics: The Missing Link Between AI Innovation and Cost Control 

As generative AI adoption accelerates, many organizations are discovering an uncomfortable reality: AI costs are becoming increasingly difficult to predict and control. AI tokenomics is emerging as a critical framework for understanding, measuring, and managing AI consumption. While industry efforts are underway to standardize token economics, organizations cannot afford to…
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clockMar 20,2026

AGAT Software’s Pragatix Brings AI Adoption Intelligence to Enterprises

Most enterprise AI programs share the same blind spot: leadership knows employees are using AI, but nobody can tell whether it’s actually working.  Licences for ChatGPT, Microsoft Copilot, and Google Gemini are being purchased at scale. Developer teams run GitHub Copilot and Cursor in their IDEs. Yet when executives ask “are we getting value from…
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clockMar 19,2026

Control Risky AI Agent and Human Behaviour in Real Time

Artificial intelligence is no longer a future capability—it is embedded in daily workflows across the enterprise. Employees are using chat-based AI tools, copilots, and autonomous AI agents to generate content, analyse data, and automate decisions. But while AI adoption is accelerating, security and awareness have not kept pace. This creates…
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clockMar 17,2026

AI Governance Challenges in 2026: Enterprise AI Security Risks, Copilot Cowork, and the Need for Private AI

AI governance is becoming one of the most urgent priorities in enterprise technology. As organisations roll out autonomous systems, copilots, and agentic workflows, enterprise AI security is no longer just about what AI says. It is about what AI can do, what data it can access, and how quickly failures can scale. With platforms like Copilot Cowork accelerating the shift…
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clockFeb 13,2026

Shadow AI: The Hidden Threat in Enterprise Environments 

Shadow AI is rapidly becoming one of the most overlooked enterprise security risks. Learn what shadow AI is, why it increases data leakage and IP exposure, and how organizations can regain control without slowing innovation.  Artificial intelligence adoption inside enterprises is accelerating faster than governance can keep up. While organizations…
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clockFeb 10,2026

Building Private AI Workflows Without Compromising Security 

Learn how to build private AI workflows without compromising security. A practical guide for enterprises managing sensitive data, compliance, and AI risk.  Why Private AI Workflows Are Becoming a Priority  As artificial intelligence becomes part of daily business operations, many organizations face a difficult balance. They want the productivity and…
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