The Data Blog
The Next Step in the Evolutionary Cyber Security Ladder; Complex Dynamic
Payloads with High Fidelity Content and Relational Scenarios
Commercial network traffic generation technologies such as Ixia BreakingPoint or Spirent simulate real-world legitimate traffic, distributed denial of service (DDoS), exploits, malware, and fuzzing. These technologies help to test and validate an organization’s security infrastructure.
Today, advanced behavior-based threats are growing more sophisticated, harder to detect, and are accelerating rapidly. Current networks are becoming even more vulnerable to these rapidly growing
threats that cost more than $4B annually in the US alone. Detecting and mitigating Advanced Persistent Threats and Insider Threats demand far more advanced testing techniques, analytics, and sophisticated data sets for consistent detection, demonstration, measurement, and mitigation.
Today, you can combine commercial network traffic and synthetic data generation technologies to
provide rich content that mirrors real-world network traffic with configurable threat patterns contained within the traffic data. This end-to-end solution generates the behavioral network traffic test data as well as the system response files, enabling immediate scoring and correction of systems errors. This is a huge advancement in this critical and growing segment of sophisticated threat-based network testing.