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Avalor, now part of Zscaler, has deep roots in data. Our technical team has built multiple platforms to ingest, deduplicate, correlate, and enrich data across hundreds of sources. We applied this expertise to the security world, building the industry's first Data Fabric for Security. This platform helps companies aggregate and correlate findings and context across their full range of security and business tools to better understand and manage risk. The data model at the heart of our Data Fabric is both opinionated and flexible – opinionated to support security use cases but flexible so it can accommodate any data type, risk factors, metrics, or workflows the business needs. Our Unified Vulnerability Management module taps into that Data Fabric to provide immediate insights and workflows to reduce risk. UVM takes in both traditional vulnerability and exploitability data sources as well as contextual data spanning identity, cloud, asset, user behavior, mitigating controls, and other business context. UVM then correlates that data to provide a contextual risk score, which companies can further customize. UVM also automates sending priority action items with workflows tailored to the company’s structure and processes so teams can reduce the risk posture. With our Data Fabric and UVM application, security leaders can finally get value out of all their security tools and meaningfully reduce business risk.

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Raanan Raz is the VP, GM Data Analytics of Avalor Security.

57 people are employed at Avalor Security.

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