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Data-Driven Prioritization: The Role of AI in Vulnerability and Threat Management

by | Apr 6, 2018

The conventional approach to vulnerability and threat management is rapidly changing to a data-driven strategy in which remediation efforts are targeted to individual vulnerabilities based on their exploitability, exploit pulse, and environment.

This approach will revolutionize vulnerability management – especially in the remediation of most common vulnerabilities that are frequently exploited – but its success depends on the availability of reliable data, which can have many biases and uncertainties.

Weaponization analysis can be used for early warning, diagnosis, remediation prioritization, and prescriptive information on what to fix and how to fix vulnerabilities that matter.

While many vulnerabilities are identified, a few prove to be successful for attackers. In a presentation for BrightTalk’s Advanced Cyber Security: Data Driven Defense Summit, RiskSense Co-Founder and CEO Dr. Srinivas Mukkamala spoke on how AI will play a key role to ensure remediation recommendations that are targeted for vulnerabilities that is exploitable.

You can watch the presentation titled “Data Driven Prioritization: The Role of AI in Vulnerability and Threat Management” on YouTube.

Don’t have time to watch the whole presentation but are curious about threat, vulnerability, and risk data; weaponization analysis; and how AI fits into threat and vulnerability management?

Check out the slide deck here: