Cybersecurity Data Integrations
Connect Security Telemetry, Partner Platforms, and AI-Ready Knowledge
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Knowledge Grid integrates with the security tools, telemetry sources, and data infrastructure you already use — no need to replace your SIEM, data lake, cloud platform, or analyst workflows.
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It sits in the white space between raw telemetry and AI-ready security knowledge.
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It organizes time, behavior, relationships, anomalies, and context — so security teams, data scientists, partners, and AI systems can reason over complex environments with greater clarity.
How Knowledge Grid Integrates
Flexible Integrations
Knowledge Grid supports a range of integration models depending on the customer environment, partner architecture, and data source requirements.
Common integration patterns include:
• Cloud storage ingestion
• Secure file or object-based data transfer
• API-based ingestion
• Partner platform integration
• Security telemetry exports
• Customer-specific data pipelines
• Structured and unstructured log ingestion
• AI-agent and workflow telemetry where supported
The goal is to make integration practical, secure, and adaptable. Customers can begin with targeted telemetry sources for a specific use case, then expand over time as additional data sources, workflows, and analytical needs emerge.
Featured Integration
DragonFly Cyber + Knowledge Grid
Turning Internal Attack Surface Visibility into AI-Ready Security Knowledge
DragonFly Cyber helps organizations gain visibility into internal attack surface risk, including authentication exposure, encryption posture, certificate health, internal communication paths, governance drift, and other high-value security signals.
Knowledge Grid extends that visibility by transforming DragonFly Cyber telemetry into structured, time-aware knowledge that can be analyzed across context, relationships, behavior, and change. This enables deeper anomaly detection, stronger operational understanding, and a more reliable foundation for AI-assisted security workflows.
Together, DragonFly Cyber and Knowledge Grid help security teams move beyond isolated findings and static dashboards toward a continuously evolving understanding of risk across the environment.
Designed for Technology Partnerships
Knowledge Grid is designed for cybersecurity vendors, MSSPs, MDR providers, AI security platforms, and other technology partners that want to add AI-ready knowledge, anomaly detection, and data science capabilities to their existing offerings.
Partners can use Knowledge Grid to enhance their own platforms and services without rebuilding the underlying data framework required for large-scale behavioral analysis.
Partner integration opportunities include:
- Embedded anomaly detection
- Private-label or OEM service delivery
- Partner-branded analytics offerings
- AI-ready security data infrastructure
- Data science workbench capabilities
- Behavioral baselining and drift detection
- Customer-specific knowledge modeling
- Security telemetry enrichment and normalization
- Integration into existing dashboards, portals, or service workflows
For partners, Knowledge Grid provides the cognitive data layer behind the scenes — helping transform telemetry into structured knowledge that can power higher-value services and differentiated customer outcomes.