Graydient-C for Cyber Security is a true machine learning-based defense against information security threats. Cyberattacks against financial institutions, retail organizations and critical infrastructure providers have become a regular feature of modern life. Further, modern malware and intrusion avenues are adaptive and more intelligent than ever before. The pervasiveness and repeated successes of these sophisticated attacks make it clear that the traditional statistical and signature-based countermeasures in use today are simply inadequate. The resulting disruption of business, negative publicity, and impact on revenue can be crippling. That’s where Giant Gray comes in: We see anomalies within large volumes of data to help stop potential threats in the cyber security space before they begin.
Graydient-C is self-learning, adapts with the cyber environment and teaches itself normal flow patterns through observation on the wire. It then learns what activities are normal within computer systems, internal networks and servers, and issues an early-warning alert to IT staff of anomalous activity before potential damage or information breaches occur. The self-learning capability of Graydient-C allows it to adapt automatically to changing patterns within information systems as business needs evolve. Graydient-C also provides actionable intelligence from external and internal network traffic without any pre-programming, threshold rules, threat models, or lookup libraries.