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Contrast Security takes a novel approach to application and API security by creating a digital twin of the application layer, thus providing a real-time, unified model of an organization's entire application layer by collecting data directly from running code via Contrast Threat Sensors. We surface this for our customers via the Contrast Graph.
This comprehensive model, which includes information on applications, APIs, vulnerabilities, attacks and business context, allows for dynamic risk scoring and enables a more accurate understanding of actual security threats. The Contrast Graph aims to streamline various security workflows, such as incident response, vulnerability monitoring and threat modeling, by providing contextual insights and fostering collaboration among development, security and operations teams. Ultimately, it seeks to move organizations from reactive to proactive, risk-based security.
A digital twin is defined as a real-time, virtual representation of a physical system. This virtual replica is continuously updated with live data from sensors and other sources, allowing for an understanding of how the real-life system works. Digital twins create an immersive environment that replicates and connects every aspect of an organization, optimizing simulations, scenario planning and decision-making.
Digital twins can significantly enhance cybersecurity by providing a real-time, virtual representation of a complex ecosystem, which is continuously updated with live data from sensors and other sources. This allows for a deeper understanding of how real-life systems work, optimizing simulations, scenario planning and decision-making.
Traditional Application Security (AppSec) tools often operate in silos, providing only fragmented, static snapshots of risk and generating lists of theoretical problems without context. This leads to overwhelming false positives, reactive security practices and investments that don’t reduce actual risk.
Unlike traditional tools that lack production context or only deliver problem lists, the digital twin measures reality in production, ensuring the required context is present for detecting truly exploitable issues.
In essence, digital twins transform Application Security by moving from reactive, fragmented and theoretical approaches to proactive, risk-based defense through live intelligence, real-time collaboration and a unified security model.
The Contrast Graph's "digital twin" approach significantly enhances security insights by providing a real-time, comprehensive and contextual model of an organization's entire application and API security ecosystem.
The Contrast Graph is a digital twin of the application layer, a virtual representation continuously updated with live data from sensors. It models everything relevant to security, including applications/APIs, attack surface, attacks, vulnerabilities, assets, behaviors, data flow, defenses, libraries, and more. This unified security model spans development, production, security, and business context.
The Contrast Graph doesn’t just improve security, it transforms how organizations detect, respond to and prevent AppSec threats. By replacing static reports and perimeter logs with live intelligence, siloed workflows with real-time collaboration, and fragmented tools with a unified security model, it enables teams to move beyond reactive security into proactive, risk-driven defense.
