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Headline Issue Diary Date
Data protection has moved from policy to operational risk 407 CompliNEWS 13 Feb 2026
Dubai VASP licensing and the compliance reality of RWA tokenisation 23 CryptoCompliNEWS 06 Feb 2026
UK data shows banned crypto adverts remain online despite FCA intervention 23 CryptoCompliNEWS 06 Feb 2026
Australia tightens AML net around crypto – AUSTRAC oversight and mandatory Travel Rule 23 CryptoCompliNEWS 06 Feb 2026
US SEC launches 'Project Crypto', marking a shift from enforcement to rule clarity, and commentary for South African CASPs and FSPs 23 CryptoCompliNEWS 06 Feb 2026
From claims payer to risk preventer: The compliance implications of proactive insurance models 407 CompliNEWS 13 Feb 2026
SIU municipal graft probe and lifestyle audit resistance raise escalating AML and governance concerns 407 CompliNEWS 13 Feb 2026
SCA rebukes RAF as appeal over 181 court orders is dismissed with costs 407 CompliNEWS 13 Feb 2026
Namibia moves closer to grey list exit but institutions should stay disciplined 407 CompliNEWS 13 Feb 2026
Absa pilots gold-backed stablecoin as banks accelerate digital asset strategy 23 CryptoCompliNEWS 06 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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