False positives, inconsistent detections, and underperforming AI models often share the same root cause: poor-quality threat intelligence data. Security products are becoming increasingly automated and AI-driven, making the quality of the underlying intelligence more important than ever.
In this webinar, we’ll explore the “upstream problem”: why better security outcomes start with better data. We’ll examine the role threat intelligence quality plays in detection accuracy, analyst efficiency, and AI performance, along with what it takes to deliver intelligence that security teams and products can trust.
Join Theodor Poruțiu, Bitdefender, and Markus Ludwig, Ticura, as they explore:
| The impact of TI quality on false positives, detections, and AI performance | |
| Behind the scenes of threat intelligence: curation, validation, and enrichment processes | |
| Real-world detection scenarios | |
| Q&A |
Speakers
