Staffan Truvé

Staffan Truvé is the co-founder and CTO of Recorded Future, where he leads the company’s R&D in threat intelligence, applied AI, and large-scale analytics. A veteran technologist who has worked in AI since the mid-1980s, he previously conducted research in computer vision and information visualization and has spent his career building teams that turn complex data into operational decisions. At Recorded Future he champions an outside-in approach to cyber risk, combining open-source, dark-web, and internal signals to help enterprises automate triage, accelerate time to patch, and reduce risk while keeping humans in control.

Episode Summary

Staffan Truvé shows enterprises how to turn AI from a liability into a dependable control system. Drawing on years of threat intelligence work, he explains an outside-in approach that maps real adversaries, their tools, and your exposed assets to personalize defense where it matters most. His teams automate collection, correlation, and triage with managed autonomy, while policy, thresholds, and final actions stay with accountable humans. Every decision rolls up to hard KPIs such as time to patch, time to detect, incident rates by vector, false positive rates, and risk reduced per dollar. You will hear how to build an exposure map that links threat actor capability to your internet-facing systems, where agents deliver speed, and where human approvals are nonnegotiable. Truvé outlines a data strategy that fuses open sources, dark web signals, and internal inventories into a single operating picture, then shows how to anchor automation with clear audit trails, prompt and agent logging, vendor contract terms that prevent data leakage, and disciplined red-team testing.