The reality of today's digital enterprise is that the cost of a cyberattack can be significant, both in terms of financial losses and reputational damage.
A cyberattack can also disrupt operations and lead to lost productivity, and exposure of sensitive data can lead to identity theft and other financial crimes.
With access to the right data sets, organizations are in a better position to quantify and mitigate the risk of a cyber attack across their supply chain. The challenge is that there is rarely a common framework or ontology for sharing data which makes it difficult for organizations to share the information they need without compromising security or data privacy.
With advances in AI creating new attack vectors across digital supply chains, and the onset of new regulations across many jurisdictions, the challenge is growing in complexity and many traditional rule-based security systems are a few major cyber attacks away from being abandoned.