Through an integrated and heterogeneous approach to security intelligence, QRadar provides security monitoring and compliance validation, enhanced by intelligent real-time analysis of behavior, providing financial organizations with profiles of the behavior of systems, applications and users over their organization’s entire network.
Q1 Labs financial services customers use QRadar to solve their network security management challenges of:
- Log aggregation and analysis across many security technologies and vendors
- Threat monitoring and incident response for Internal and external threat management, including information assurance and insider threat monitoring
- Compliance auditing, reporting, and validation initiatives driven by GLBA, SOX, PCI DSS, etc.
- QRadar has successfully addressed these challenges for financial organizations by offering the most intelligent, integrated and automated security management solution in the industry.
- Intelligent: With more data under surveillance and advanced analytic techniques, QRadar detects threats that others miss; providing unparalleled visibility into network and application activity that others cannot.
- Integrated: Correlating information from security logs, network flow analysis, the application layer, IAM solutions, and asset-based vulnerability assessment in one, comprehensive management solution.
- Automated: Simple to deploy and manage, QRadar automates security and network device discovery as well as policy functions.
QRadar’s appliance-based architecture and embedded database removes the crushing complexity and costs that cripple the deployment and ongoing support of traditional SIEM and log management solutions.
Q1 Labs’ QRadar security information and event management (SIEM) solution is purpose built to integrate log management with SIEM in one solution, delivering massive log management scale without any compromise on SIEM “Intelligence”.
As a result, product acquisition, deployment, and operational costs are a fraction of alternative ‘point product’ solutions.
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