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Enhancing CSOC with Unified Security Architecture for Vendor Consolidation and Cost Optimization

In today’s complex cybersecurity landscape, organizations face challenges in managing multiple security tools and vendors within their Cyber Security Operations Center (CSOC). A fragmented security environment can lead to inefficiencies, increased costs, and gaps in threat visibility. To address these issues, enterprises are shifting towards a Cybersecurity Platform, which integrates various security solutions into a cohesive framework. This approach streamlines operations, reduces redundancies, and enhances the CSOC’s ability to detect and respond to threats more effectively. To address this issue, leading organizations are shifting towards a Cybersecurity Platform, a solution that integrates various security tools into a unified framework. This integrated approach enables CSOC  to operate systematically, reduce redundancies, and enhance its ability to detect and respond to threats more effectively. Vendor Consolidation: A Key Strategy for Enhancing Efficiency and Reducing Costs Vendor consolidation plays a critical role in optimizing security costs while maintaining robust defense mechanisms. By reducing the

MFEC

MFEC

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MFEC Enhances CSOC for Banks with AI/ML and Splunk Integration

With the rapid growth of cyber threats, malicious actors are increasingly using AI technologies to launch attacks, making threats more complex and harder to combat. Organizations must prioritize enhancing their cybersecurity systems to protect data and user privacy from continuously evolving attacks. MFEC’s Infosec team recognizes the critical role of AI in addressing these threats and has collaborated with Splunk and banking clients to test the integration of Splunk SIEM with AI/ML capabilities through the Splunk DSDL (Data Science and Deep Learning) application What’s Splunk DSDL ?   Splunk DSDL is an application from Splunk installed on Splunk SIEM, designed to connect with AI/ML systems set up on containers such as Kubernetes or Docker. The integration between Splunk DSDL and the user’s AI/ML systems enables a variety of functionalities, including data exchange for threat detection based on existing models, sending data to train new AI models, or even refining AI models

MFEC

MFEC