통합 개요

Alma is the runtime standard for Application Detection and Response (ADR). Cloud Security Posture Management provides essential visibility into static infrastructure risks, but security teams also need visibility into  application-layer attacks and data flows. This integration combines Wiz’s deep infrastructure context with Alma’s Layer 7 runtime behavioral profiling. By correlating Wiz’s cloud risk insights with Alma’s real-time observation of application traffic, teams can distinguish theoretical risks from active threats, prioritizing remediation for services that are actively being targeted or leaking sensitive data.

Market Challenge


Security teams struggle to correlate static infrastructure risks with dynamic application threats. They see thousands of vulnerabilities but cannot determine which services are facing active exploitation attempts or processing sensitive data in real-time. This disconnect leads to alert fatigue, while actual Layer 7 attacks on crown jewel applications go undetected by static controls.

Key Benefits of the Integration

  • Prioritize remediation: correlate Wiz risk findings with Alma’s detection of active exploitation attempts to focus on threats with active exploitation and real time business impact.

  • Accelerate incident response by enriching Alma runtime alerts with Wiz infrastructure context and cloud asset data.

  • Visualize data exposure by mapping Wiz data classification tags to Alma’s real-time observation of sensitive data flows.

  • Unify risk visibility by combining static posture insights with dynamic Layer 7 application behavior.

Better Together

Adopting Alma gives organizations deep visibility into how applications really behave, profiling service-to-service communication and detecting anomalies at Layer 7. Integrating Alma with Wiz bridges the gap between static cloud posture and dynamic runtime reality.

Mutual customers can now correlate Wiz’s inventory of vulnerabilities and misconfigurations with Alma’s evidence of active attacks and data exposure. This means a vulnerability identified by Wiz becomes an immediate priority when Alma confirms malicious payloads are targeting it. Conversely, a behavioral anomaly detected by Alma is instantly enriched with Wiz’s cloud context, allowing the SOC to understand the full blast radius of an incident.

사용 사례 개요

Detecting Business Logic Abuse and Data Exfiltration

Challenge

Attackers increasingly target application logic and authorized data paths rather than exploiting software vulnerabilities. These attacks, often involving valid credentials, bypass static scanners and WAFs, leaving critical data exposed to scraping and manipulation that looks like legitimate traffic.

Solution

Alma establishes a behavioral baseline for application traffic, detecting when usage patterns deviate from the norm, such as a user accessing sensitive records at an abnormal scale. Integrating this runtime insight with Wiz’s classification of "Crown Jewel" assets allows security teams to instantly identify and block logic abuse targeting the organization's most critical data, covering the gap that static controls cannot see.

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