Overall, Seker noted, AI changes the economics of vulnerability exploitation more than it changes the underlying vulnerability. Attackers are using AI to analyze disclosures, generate and modify exploit attempts, enumerate exposed services, adapt payloads to different environments, and automate post-exploitation activity.
“The period between public disclosure and widespread exploitation can therefore become increasingly compressed,” Seker said. This means organizations should work to reduce time between disclosure, exposure assessment, and remediation.
This requires strong API authentication and authorization, strict input validation, parameterized database queries, least-privilege access, integration segmentation, application and API-layer monitoring, and controls that detect anomalous behavior, he emphasized. Internet-facing interfaces should also be minimized.
