Synthetic Tabular Data: Methods, Attacks and Defenses

Synthetic data is often positioned as a solution to replace sensitive fixed-size datasets with a source of unlimited matching data, freed from privacy concerns. There has been much progress in synthetic data generation over the last decade, leveraging corresponding advances in machine learning an...

Automating threat actor tracking: Understanding attacker behavior for intelligence and contextual alerting

As seen in recent sophisticated cyberattacks, especially human-operated campaigns, it’s critical to not only detect an attack as early as possible but also to rapidly determine the scope of the compromise and predict how it will progress. How an attack proceeds depends on the attacker’s goals and...

Automating threat actor tracking: Understanding attacker behavior for intelligence and contextual alerting

As seen in recent sophisticated cyberattacks, especially human-operated campaigns, it’s critical to not only detect an attack as early as possible but also to rapidly determine the scope of the compromise and predict how it will progress. How an attack proceeds depends on the attacker’s goals and...