Category: Security
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AI can support Finance in many obvious ways: forecasting, reporting, reconciliations, commentary, document handling, coding, exception handling, controls testing, data quality and process efficiency. But Finance runs on control. AI does not make Finance controls obsolete. It makes them more important, and pushes them into the technical layer where AI operates. In the current technical…
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Enterprise-grade AI governance: stopping drift from becoming a rip tide. Introduction: capability and responsibility As organisations move from experimenting with large language models to deploying agentic systems – systems that can reason, decide, and take action – the risk profile changes fundamentally. An AI system that merely generates text is one thing. An AI system…
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This paper summarises evidence-based AI security risks and mitigations drawn from published research, regulatory frameworks, and operational practice. Introduction Generative AI systems are now routinely deployed in environments that affect customers, employees, finances, and regulatory obligations. In many organisations, large language models (LLMs) are integrated with retrieval systems, automation tools, and business workflows to provide…