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Headline Issue Diary Date
From code to accountability: Why the human layer matters in crypto’s AI era 22 CryptoCompliNEWS 01 Feb 2026
AI becomes a core compliance and governance risk for crypto firms 22 CryptoCompliNEWS 01 Feb 2026
AI moves from tool to legal risk vector as workplace adoption accelerates 405 CompliNEWS 01 Feb 2026
FSCA flags growing conduct and cyber risks as digital banking becomes the norm 405 CompliNEWS 01 Feb 2026
FSCA steps up scrutiny as CASP licensing and enforcement accelerate 22 CryptoCompliNEWS 01 Feb 2026
OFAC sanctions UK-registered crypto exchanges in first action targeting Iran’s digital asset sector 22 CryptoCompliNEWS 01 Feb 2026
EU steps up enforcement as member states fall short on crypto tax reporting rules 22 CryptoCompliNEWS 01 Feb 2026
Order-book dynamics spotlight market-integrity risks in crypto price formation 22 CryptoCompliNEWS 01 Feb 2026
Global crypto tax transparency tightens as CARF ends the era of hidden offshore holdings 22 CryptoCompliNEWS 01 Feb 2026
FATF endorsement of crypto asset recoveries raises the bar for on-chain AML effectiveness 22 CryptoCompliNEWS 01 Feb 2026
Working Smart

By Lee Rossini

Although still in its infancy, the term agentic AI is being heard more frequently. It refers to AI that can act autonomously to achieve goals, make decisions, and adapt to changing environments with minimal human intervention. Unlike traditional AI models that respond only to direct prompts, agentic AI systems are designed with a sense of 'agency': they can plan, execute multi-step tasks, interact with other systems, and learn from outcomes. These systems often combine reasoning, memory, and tool usage, enabling them to operate more like digital collaborators than passive tools.

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