Contrast Security has announced a new integration between its Application Detection and Response (ADR) platform and Google Security Operations, aimed at bringing real-time application-layer visibility directly into Security Operations Centers (SOCs). With this move, the company seeks to address a critical blind spot in modern cybersecurity runtime application behavior.

As cyberattacks increasingly target applications, traditional security tools often struggle to detect threats that exploit legitimate application logic. According to the M-Trends 2026 report by Mandiant, vulnerability exploitation now accounts for 32% of initial intrusions, surpassing phishing and credential-based attacks. Therefore, gaining visibility into how applications behave during execution has become essential.

To tackle this challenge, the new integration maps runtime telemetry from Contrast ADR directly into Google Security Operations’ Unified Data Model (UDM). This allows SOC teams to detect and investigate application-layer exploits based on real-time execution data rather than relying solely on network or perimeter signals.

Importantly, the integration provides deep runtime context, including affected applications, execution paths, stack traces, and exploit outcomes. As a result, security teams can clearly understand how an attack occurred and whether it succeeded or was blocked. Furthermore, purpose-built detection rules automatically surface confirmed exploits as actionable cases within the platform, reducing alert fatigue and improving response accuracy.

Another key advantage lies in its ability to detect logic-based attacks. Unlike signature-based threats, exploits such as unsafe deserialization abuse legitimate application behavior and often go unnoticed by conventional tools. However, by analyzing runtime execution, the integration enables organizations to identify these hidden threats with greater precision.

In addition, the solution enhances collaboration between security and engineering teams. When an exploit is detected, the system not only alerts SOC teams but also traces the issue back to the vulnerable code. Consequently, engineering teams can prioritize remediation efforts more effectively using tools like Contrast’s SmartFix, closing the loop between detection and resolution.

Moreover, the integration strengthens AI-driven security operations. By enriching Google Security Operations with high-fidelity runtime data, it provides the structured context required for advanced analytics and automated response. This includes detailed stack traces and blast-radius insights, enabling AI systems to make more accurate decisions.

“Most SOC teams are flying blind on the application layer. They rely on perimeter and network telemetry that can’t see how code actually executes or whether an application is truly exploitable. This integration brings high-fidelity runtime visibility into Google Security Operations, grounded in real execution data and focused on what’s actually exploitable, so SOC teams can investigate and respond effectively,” said Faya Peng, General Manager of ADR and Head of Product, Contrast Security.

“As businesses integrate AI into their core operations, they face a new set of security challenges,” said Vineet Bhan, Director of Security and Identity Partnerships at Google Cloud. “Our partnership with Contrast Security is important to addressing this, giving customers the advanced tools needed to protect their data, maintain control and innovate confidently in the era of AI.”

Currently available through the Google Security Operations partner directory, this integration marks a significant step toward more intelligent and context-aware security operations. Ultimately, by combining runtime application insights with AI-driven analytics, organizations can improve threat detection, reduce noise, and respond to attacks with greater speed and confidence.

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