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In seconds, identify all apps and APIs associated with your organization for complete, ongoing visibility - straight from the Ghost UI.
Automatically establish a dynamic baseline of normal, expected behavior, ensuring instantaneous future recognition of abnormal activity.
Notable traits are gathered and documented from app traffic. Develop meaningful context about your app infrastructure by identifying important traits and attributes.
Machine learning algorithms monitor traffic in real-time & instantly detect anomalous activity.
Prioritize action based on a dynamic analysis of attack path feasibility, resource exploitability, & overall impact on the organization.
Identify all apps associated with your organization in seconds without ever leaving the Ghost Platform UI.
Clearly understand the relationships between aspects of your application infrastructure and how those relationships may lead to increased risk. Context is provided through the lens of organization-specific relevancy and risk, preventing distractions and simplifying application security.
The Ghost Platform’s revolutionary Shape Shifting Sensor Stacks (S4) establish a dynamic baseline of your application’s expected behavior, distinguishing between legitimate activity and potential nefarious behavior.
Then, with state-of-the-art machine learning algorithms, they monitor traffic streams in real-time and instantly detect any anomalous activity that requires attention, automatically sending all necessary information to the right team.
Leveraging its knowledge of your cloud infrastructure, the Ghost Signal Fusion Matrix prioritizes vulnerabilities, threats, and misconfigurations based on a dynamic analysis of attack path feasibility, resource exploitability, and overall impact on the organization.
This real-time analysis is a profound improvement over the industry standard risk scoring methodology and enables analysts to prioritize the most critical remediation tasks, avoiding distractions and remaining laser-focused on what matters most.