Systematic GitHub API queries are increasingly used for corporate reconnaissance prior to attacks, as threat actors abuse public APIs and leverage dormant ghost accounts to mimic legitimate usage patterns.
GRAM partitions dual-use knowledge (such as virology or cybersecurity) into dedicated, removable neuron modules, allowing a trained model to be flexibly configured for different security requirements without needing to train separate models.
A single attacker demonstrates the danger of credential theft combined with automated AI workflows: penetration of an AWS environment was achieved in under three days.
Ghost phishing techniques hide malicious pages in encryption until they are decoded in the browser, thereby circumventing traditional email security controls.
