Avalor

Avalor is a cybersecurity data platform vendor that provides a data fabric for security teams to aggregate, normalize, and operationalize security-relevant data at scale.

• Security data fabric for aggregating data from diverse security, IT, and business systems.
• Normalization, deduplication, and entity resolution for security datasets.
• Analytics and reporting for risk, exposure, and security posture use cases (security analytics).
• Support for Security Operations (SecOps) workflows such as vulnerability management and threat exposure management.
• APIs and integrations with existing security tools, data warehouses, and business systems.

More About Avalor

Avalor focuses on security data management for enterprises that need to unify information from many security, IT, and business tools into a single, queryable data fabric. The platform is positioned as a central security data layer that ingests and models data from sources such as vulnerability scanners, endpoint security tools, identity systems, asset inventories, cloud security platforms, and ticketing tools. This data fabric is designed to give security and risk teams a consistent, up-to-date view of assets, identities, vulnerabilities, and controls across complex environments.

The Avalor platform (security data fabric) typically uses a scalable data architecture that supports both batch and streaming ingestion pipelines, with connectors into common security and IT tools. It applies data normalization and enrichment to align disparate schemas, standardize fields, and correlate records across systems. Entity resolution techniques are applied to map multiple identifiers for the same asset or identity into a single, consistent entity record. The platform then exposes this consolidated model for analytics, dashboards, and downstream workflows.

Enterprises use Avalor in SecOps, risk management, and security governance contexts. In vulnerability management workflows, for example, Avalor can combine scanner data, asset context, ownership information, and business metadata to help prioritize remediation. In exposure management and security posture use cases, the platform aggregates control coverage and configuration data from multiple tools to present a unified view of gaps and trends. The data fabric approach is intended to address fragmentation in security data where overlapping tools produce overlapping records and inconsistent identifiers.

From a technology perspective, Avalor positions its platform within the security analytics and security data lake categories. While traditional Security Information and Event Management (SIEM) (security information and event management) tools focus on log and event data for detection and alerting, Avalor emphasizes structured security metadata and context used for exposure, asset, and risk views. It integrates with existing SIEM, Security Orchestration Automation Response (SOAR), and Extended detection and response (XDR) platforms rather than replacing them, by feeding them cleaner, correlated context about assets, vulnerabilities, and business impact.

Within an enterprise technology directory, Avalor aligns with categories such as security data fabric, security analytics, exposure management, and security posture management. Its capabilities also intersect with data management patterns like data cataloging, data modeling, and API-based data access for security teams. Organizations evaluating Avalor typically compare it with security data lake, exposure management, and cyber asset management solutions, with the focus on creating a unified, operational security data layer that other tools and workflows can consume.