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Four ways to incorporate AI into threat intelligence programmes


As threat environments grow increasingly complex — accelerated by the rise of generative AI and the rapid commercialisation of cybercrime — organisations are discovering that traditional cyber threat intelligence programmes often fall short of delivering meaningful, actionable value. While data volumes continue to rise, translating that data into intelligence that drives effective decision-making remains a persistent challenge.

To bridge this gap, ISACA has released a new white paper, Building a Threat-Led Cybersecurity Programme with Cyberthreat Intelligence. The paper provides a practical, step-by-step blueprint to help organisations either establish or strengthen a modern threat intelligence programme and shift towards a more holistic, threat-led security strategy. Whether practitioners are laying the foundations of a new capability or looking to fine-tune a mature intelligence function, the guidance places strong emphasis on developing a sound threat model, defining priority intelligence requirements, and aligning intelligence outputs closely with broader enterprise risk management objectives.

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