Resources
From the field
Analysis on breach materiality, adversary infrastructure, and the data that trains cyber AI, written by the team that hunts it.
White papers
Reverse Attack Surface Analysis
Watching the breach from the attacker's side: the method behind empirical breach confirmation.
Download (PDF)VG-WP-01Geopolitical Cyber Event Prediction
Reading adversary intent in the domain registration record, with three years of observed case studies.
Download (PDF)VG-WP-03Third-Party Risk, From a Distance
Assessing any partner without a questionnaire, a deployment, or their participation.
Download (PDF)VG-WP-04Training Data for Cyber AI
Why models built for cyber operations are only as good as the adversary data underneath them.
Download (PDF)Insights
Illuminating Material Breach Through Empirical Evidence: Facilitating Timely Disclosure, Compliance, and Remediation
How empirical breach evidence lets disclosure teams determine materiality quickly under the SEC's four-day reporting rule.
Disclosure · BreachThe Murky Waters of Materiality: Navigating Cybersecurity Disclosures in the Age of the SEC's New Rules
What 'material' means under the SEC's cybersecurity disclosure rules, and how companies can assess incidents on a four-day clock.
Disclosure · BreachIdentifying Malicious Domains to Preempt and Thwart Phishing and Spear-Phishing Attacks
Why identifying and rapidly taking down malicious domains is a critical proactive defense against phishing and spear-phishing attacks.
Phishing · Spear-phishing · Threat Context Intelligence · Threat HuntingUnveiling the Intricate World of Adversarial Examples in Neural Networks
An overview of adversarial examples: how they are generated, why neural networks are vulnerable, their real-world impact, and emerging defenses.
Neural Networks · AI/ML · Training DataPredictive Cyber Intelligence: Pioneering the Next Generation of Cyber Insurance
How predictive cyber intelligence transforms cyber insurance: sharper risk assessment, proactive threat intelligence, optimized incident response, and fraud detection.
Cyber Insurance · Threat Context IntelligenceThe Imminent Gold Rush for High-Quality Data in AI/ML Model Training
Why demand for high-quality training data is driving a gold rush in AI/ML, and what it means for performance, ethics, privacy, and data marketplaces.
AI/ML · Training DataThreat Context Intelligence: A Next Generation Weapon for Cyber Defenders
How combining threat feeds, behavioral analytics, and contextual information moves defenders from reactive detection to proactive threat hunting.
Threat Context Intelligence · Threat Hunting