Threat Intelligence & Adaptive Security with Knowledge Graphs
A manufacturing company with OT/IT integration needs to protect industrial control systems while maintaining production.
Solution Impact:
Knowledge graphs map relationships between IT systems and industrial controllers, highlighting potential attack paths.
When unusual commands are sent to industrial systems, the graph instantly connects this to related IT security events.
Security teams can perform root cause analysis across the entire technology stack to identify initial access points.
Problem:
Security teams lack visibility across the IT/OT boundary, creating blind spots where sophisticated attacks can hide.
Scenario:
Manufacturing and Critical Infrastructure
Solution Impact:
Knowledge graphs build baselines of normal behavior and detect subtle deviations that indicate potential APT activity.
The system correlates low-level suspicious activities across months of data to reveal patterns invisible to human analysts.
Security teams can automatically trace entire attack campaigns from initial access to data exfiltration attempts.
In each case, the multimodal knowledge graph approach transforms what would be isolated security events into a comprehensive, contextual understanding of threats-enabling faster detection, more effective response, and truly proactive security posture.
Problem:
Advanced persistent threats (APTs) operate slowly and methodically, making their activities difficult to detect with traditional tools.
Scenario:
A government agency faces nation-state threats targeting sensitive information through sophisticated, long-term campaigns.
Government Agencies
Solution Impact:
Knowledge graphs detect subtle behavioral anomalies in connected medical devices that might otherwise appear benign in isolation.
When suspicious activity is detected, the system automatically correlates it with historical attack patterns in healthcare.
Security teams can quickly visualize the potential blast radius of an infection and prioritize critical patient-facing systems for protection.
Problem:
The critical nature of healthcare systems means defenders must respond extremely quickly without disrupting patient care.
Scenario:
A hospital network experiences unusual system behavior that could indicate a ransomware attack in early stages.