Tyler Alfriend
Field Chief Data Officer, DataBee
Tyler Alfriend is an engineering leader driving how security data gets ingested and turned into insights, with a background spanning data analytics support for audit and GRC across large enterprises.
Mike Gallegos
Principal Product Manager, DataBee
Mike leads security-focused product innovation at DataBee, building AI-native security and compliance products with two decades of cybersecurity behind him.
Moderated By:
Mackenzie Putici
Point-in-Time Assessments Can't Keep Pace with AI-Powered Threats
As AI accelerates both the volume and sophistication of cyber threats, security teams face mounting pressure to identify vulnerabilities, prioritize remediation efforts, and reduce risk faster than ever before.
The problem isn't a lack of data. Most organizations are overwhelmed by it.
Critical information about vulnerabilities, assets, ownership, controls, and business impact often exists across disconnected systems, making it difficult to understand where risk actually exists and what requires immediate action. As vulnerability volumes continue to grow, security teams need a more intelligent approach that combines data, context, and automation to drive faster decisions.
The future of cyber risk management depends on continuous visibility, exposure intelligence, and AI-powered analysis that helps teams focus on what matters most.