Risk Management & Compliance
with Knowledge Graphs
Solution Impact:
Knowledge graphs connect POS terminals, payment processors, and backend databases to ensure comprehensive PCI DSS compliance.
When new vulnerabilities are discovered, the system automatically identifies all affected components and prioritizes patching based on exposure.
Security teams gain end-to-end visibility of the payment ecosystem, enabling them to simulate attack scenarios and proactively address weaknesses.
Problem:
Distributed POS systems and complex payment processing infrastructure create numerous attack vectors for targeting customer financial data.
Scenario:
A large retail chain processes millions of payment transactions across thousands of locations while facing evolving cyber threats.
Retail Enterprises
Solution Impact:
Knowledge graphs correlate access logs, user roles, patient data sensitivity, and temporal patterns to establish normal workflow baselines.
When unusual access occurs (e.g., a user accessing records outside their department during off-hours), the system automatically flags potential violations.
During compliance audits, security teams can instantly demonstrate comprehensive HIPAA controls by visualizing the relationship between access events and authorized clinical workflows.
Problem:
Traditional security systems create silos of information, making it difficult to detect unauthorized access patterns across disconnected systems without excessive manual review.
Scenario:
A hospital network handling sensitive patient data must ensure HIPAA compliance while providing efficient access to medical records.