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Headline Issue Diary Date
Chinese-language networks rapidly dominate crypto money laundering ecosystem 23 CryptoCompliNEWS 06 Feb 2026
How banks should engage with stablecoins in 2026: Issue, partner or integrate 23 CryptoCompliNEWS 06 Feb 2026
2026 threat landscape: Pig-butchering, AI fraud and industrialised money laundering 23 CryptoCompliNEWS 06 Feb 2026
OFAC enforcement in crypto: What Exodus and ShapeShift teach us 23 CryptoCompliNEWS 06 Feb 2026
Binance compliance shake-up raises fresh sanctions questions 23 CryptoCompliNEWS 06 Feb 2026
Five steps to effective cryptocurrency sanctions compliance in 2026 23 CryptoCompliNEWS 06 Feb 2026
Predictions for 2026: Agentic AI Is breaking identity and data security 407 CompliNEWS 13 Feb 2026
Agentic AI: Emerging data protection risks businesses cannot ignore 407 CompliNEWS 13 Feb 2026
FATF turns up the heat on stablecoins, offshore VASPs and peer-to-peer reviews 23 CryptoCompliNEWS 06 Feb 2026
Plenary 2026: Cyber fraud, stablecoins and a tougher evaluation regime 407 CompliNEWS 13 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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