The Data Blog |
Advanced persistent threats backed by nation-state actors are now a major part of the global security landscape. Cybercriminals unofficially supported by the state can execute DDoS attacks, cause high-profile data breaches, steal political and industrial secrets, spread misinformation, influence global opinion and events, and silence unfavorable voices. As political tensions grow, we can expect these activities to escalate – and maintaining security in the face of advanced, globally distributed attackers with access to zero-day exploits will require big business and government organizations to deploy equally advanced solutions to detect and eliminate known and emerging vulnerabilities.
Synthetic data technologies can offer a significant advantage developing and deploying solutions to guard against advance persistent threats by leveraging the synthetic data to emulate the most realistic conditions in a target network. Network normal traffic is real traffic with complex base rate content that is all plausible and can mirror the content, IP address structure, reporting hierarchy, document types, and subject matter-specific content and emails for any industry or client. This provides behavior-based control of the data domain mix in addition to the traffic mix that has become the foundation of cyber testing techniques. Every event is linked/consistent with every other event, except where (by design) it is not linked. Simple and varying degrees of anomalies can be introduced to provide detailed system scoring and support performance tuning. Learn more at www.exactdata.net
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