No Free Efficiency: Revisiting the Trade-Off between Training Efficiency and Model Vulnerability

Training efficiency has become the central driver of recent progress in foundation models. To overcome the massive computational and data requirements of large-scale training, researchers increasingly adopt strategies such as selective data sampling, efficient pre-training, and simplified...

An Empirical Study of Security Calibration in Large Language Models for Code

Large Language Models LLMs are rapidly transforming software development, yet their use in security-critical contexts raises a key question: do models know when their generated code is insecure? This property, known as calibration, measures whether a model's confidence aligns with the true...

The Cybersecurity Perception Gap: Why Executives and Practitioners See Risk Differently

Does your organization suffer from a cybersecurity perception gap? Findings from the Bitdefender 2025 Cybersecurity Assessment suggest the answer is probably “yes” — and many leaders may not even realize it. This disconnect matters. Small differences in perception today can evolve into major blin...

October 6, 2017 – Morning Cyber Coffee Headlines – “Michael Viscuso” Edition

Good morning! Sit with Carbon Black this morning over a cup of coffee or tea and browse a few industry headlines to get the day started. We’ve got just enough information below to get you through that first cup…enjoy! October 6, 2017 - Headlines Carbon Black in the News: Step aside, Windows! Open...