Analytics and AI for cyber-security leaders

Roland Carandang at Protiviti describes how businesses can use predictive analytics to defend themselves against cyber-attacks

Increasingly, every company is becoming a digital company and, by extension, a data-driven company exploring how to leverage artificial intelligence (AI). These technological advancements provide a rich set of opportunities to better understand and respond to market demand and optimise their workforce.

However, they also make companies more exposed to cyber-attacks as their data assets increasingly become their differentiator and their people assets and processes become more dependent on AI. 

That said, data analytics and AI, also present opportunities for organisations to protect themselves from cyber-attacks. Before diving into the use of data analytics and AI in cyber-security, let’s quickly level set on some key concepts.

The diagram below (Figure 1) is a high-level depiction of a business. Each business:

• Has a business model. This is its reason for existing. For example, we could say that Amazon connects a global marketplace
• Delivers the business model via its operating model. This includes how the organisation’s people, processes and technology are set up to define and deliver the strategy derived from the business model.
• Uses data and AI to inform the business model and support the operating model
• Operates within a regulatory framework based on the industry and jurisdictions it operates in or otherwise impacts
• Has a control framework in place to manage risks across this landscape