Resources
From the field
Analysis on breach materiality, adversary infrastructure, and the data that trains cyber AI, written by the team that hunts it.
Blog
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 DataThe 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 DataWhite papers
Geopolitical Cyber Event Prediction
Using Reverse Attack Surface Analysis (RASA)
Read the paper →The Role of Training Data in AI/ML for Cyber Operations
The impact of quality training data
Read the paper →White papers currently link to the existing site; they'll move here during migration.