Simple, first generation cyber scoring products have been around for decades. They rely heavily on passive scanning—pulling data from public internet traffic—and suffer in terms of completeness and accuracy. The data from these products is typically captured solely from traffic analysis from various sinkholes; and while it presents some visibility on botnet and malware communication, it should never be used to directly represent the security posture of an organization.
To properly understand the full the scope of your organization’s risk exposure, or that of your third-party vendors, you should make sure your cyber risk security provider can answer 10 important questions, including:
- Does your solution provide visibility to risks associated with non-public facing internal systems?
- Can you classify systems by level of engagement and criticality to increase the accuracy of your cyber risk score?
- Are you able to collaborate with third parties to assign tasks, collect feedback and verify actions taken to improve risk scoring?
The ability to answer these questions correctly requires a comprehensive cyber risk management platform that allows you to evaluate your organization and your third parties across every potential risk area, not just label them with a one-size-fits-all score. FortifyData’s Next Generation Cyber Risk Scoring, powered by AI driven machine learning, allows you to understand the risks to your business and your third parties to establish a stronger more proactive cyber risk posture.