AI in Cyber Supply Chain Risk Management: Managing Risks Smartly

73 per cent of companies have already experienced reputational risks due to inefficient cyber supply chain risk management (C-SCRM). Modern supply chains are highly interconnected. Any interface with a service provider can therefore become a security or compliance risk.

At the same time, regulatory requirements are increasing rapidly: the second Network and Information Security Directive (NIS-2), the Digital Operational Resilience Act (DORA) and other regulations demand seamless monitoring throughout the entire supply chain. However, many organisations continue to work with fragmented processes and manual Excel spreadsheets – a critical contradiction. 

Traditional C-SCRM often looks to the past: questionnaires, ad hoc audits, static reports. Yet risks change in real time. 

The aim is not only to identify risks, but to manage them in a targeted and proactive manner.

The white paper highlights the clear shift towards an AI-powered C-SCRM based on the following elements:

This provides an accurate, objective overview of the situation, fostering transparency – both internally and externally.

With AI-assisted documentation, large volumes of data can be analysed automatically, security vulnerabilities identified and recommendations for action generated.

At the same time, the white paper highlights that AI does not replace expertise, but rather enhances it. The combination of algorithmic accuracy and human judgement is essential.

The ServiceNow platform solution digitally maps the entire C-SCRM lifecycle – from onboarding and due diligence through to monitoring. Automated workflows and real-time dashboards make risks immediately visible and enable audit-compliant reporting.