Nehemiah Security EQ

EQ leverages cyberwarfare tools to characterize and predict attack outcomes in a modeled environment. Through automation, this framework establishes scalable and repeatable testing to generate high-fidelity cyber data. Security teams leverage this functionality to perform “What if” scenarios, train security personnel, and strengthen defensive posture. How it Works? Experiment Modeling Engineer customized, large-scale tests in a configurable interface designed to abstract the complexities involved in the generation of intricate cyber environments. With this framework, experiments can be executed on virtualization servers. Automatically provision and test combinations of networked nodes, software configurations, attacks, and defenses. Combinatorial Optimization Utilize advanced mathematical algorithms to automatically generate test configurations and optimize experimentation. Pair combinatorial reduction with machine learning to enrich the fidelity and coverage of computed predictions. Reduce time needed by security operators to run a variety of experiments while increasing confidence in the results. Data Collection and Analysis Automatically process sensor data and calculate network-level metrics to evaluate the effectiveness of cyber defenses. Analyze results on the impact of various defensive solutions, software configurations, and security settings. Enable security teams with granular analyses to continually refine experiments and collect actionable data to strengthen resiliency. Engineer customized, large-scale tests in a configurable, cloud-based interface. Provision and test combinations of networked nodes, software configurations, attacks, and defenses. Then, execute automatic experiments to test efficacy of defensive solutions, software configurations, and security settings.