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SIEM Wazuh Implementation for a Financial Company

Client:
Medium-sized financial company in the online banking and electronic payments sector
 
Industry:
FinTech / Financial Services
Focus:
Implementation of Wazuh SIEM and establishment of monitoring processes in a hybrid infrastructure
Main challenge:
Lack of a centralized SIEM and the risk of undetected payment data compromise
Market:
On-premises
Services provided:
SIEM Implementation (Wazuh)
Key Takeaways
  • PCI DSS & ISO 27001 audit-ready.
  • Reduced false positives by 60–70%.
  • Reduced attack detection time from several days to 1–2 hours.
  • Detected 12 incidents that had previously gone unnoticed.
  • Implemented 65 monitoring use cases in Wazuh for a hybrid infrastructure.
  • 65
    monitoring use cases
    1-2 hours
    new MTTD
    1 month
    project duration
    SIEM Wazuh Implementation for a Financial Company
    A financial company with over 200,000 clients lacked a centralized SIEM, causing delayed incident detection. Datami deployed Wazuh in a hybrid infrastructure, reducing MTTD to 1–2 hours and achieving PCI DSS and ISO 27001 audit readiness.

    The client is a financial company providing online banking and electronic payment processing services to more than 200,000 active clients. 

    It processes sensitive personal and financial data, making security gaps a risk for fraudulent transactions, data breaches, and regulatory penalties.

    Project objectives and challenges
    The client engaged Datami to design and implement a Wazuh-based SIEM solution.
    Previous incidents included credential stuffing attempts targeting the web portal and phishing attacks that resulted in compromised employee email accounts.

    The project was also initiated in preparation for upcoming PCI DSS and ISO 27001 external audits.
    • Deploy Wazuh SIEM in a resilient on-premises cluster with all event sources connected.
    • Implement critical monitoring use cases and ensure coverage aligned with the MITRE ATT&CK framework.
    • Reduce incident detection and response time and prepare the company for PCI DSS, ISO 27001, and SOC 2 external audits.
    icon
    SIEM implementation
    Centralized collection and correlation of event logs from multiple sources within a single Wazuh platform.
    icon
    Use case coverage
    Critical monitoring for account compromise, AD attacks, lateral movement, and web shells.
    icon
    Standards compliance
    Closing security gaps to achieve PCI DSS, ISO 27001, and SOC 2 audit readiness.

    Our approach

    Datami applied a combined approach, pairing online banking risk analysis with MITRE ATT&CK mapping. This prioritized the most critical detections while reducing unnecessary alert noise.

    Wazuh was deployed in a resilient on-premises cluster integrated with Elastic Stack. AWS CloudTrail, CloudWatch, S3, Docker, Kubernetes, email systems, and business applications were connected, with long-term log storage configured.

    Black-box

    Hybrid approach

    Combining risk analysis with MITRE ATT&CK mapping to cover critical threats across Windows, Linux, and AWS hybrid environments.
    Key project stages and solutions

    Critical findings, including Windows audit policy gaps and insecure AWS IAM configurations, were remediated within 24 hours of detection, before project completion.

    The Datami team held weekly Google Meet status meetings and maintained continuous communication via email.

    • Audit and preparation
      Architecture analysis, scope definition, deployment of a resilient on-premises Wazuh cluster, and standardization of audit policies.
    • Data source integration and monitoring
      Integration of Windows, Linux, AWS, Docker/Kubernetes, databases, and email systems; implementation of 65 monitoring use cases for credential attack detection.
    • Rule tuning and reporting
      Wazuh rule tuning, 60–70% reduction in false positives, and delivery of a gap analysis, incident response procedures, and recommendations.
    How we can help you?

    Every cybersecurity case study we solve involves deep analysis, tailored solutions, and measurable results.
    Datami has already helped over 600 companies strengthen their digital defenses — and we can do the same for your business.
    Ready to take action?

    Let’s start with a free consultation!
    Results and recommendations

    Results and recommendations

    At the start of the project, the environment was assessed as high risk: there was no centralized SIEM, logs were collected inconsistently, and MTTD was several days. Previous incidents indicated a real threat to payment data.

    The Datami team identified:

    • critical: credential stuffing, phishing, compromised AWS IAM keys, web shells;
    • medium: lateral movement, insecure Docker configurations, personal data log exposure;
    • low: incorrect audit policies, time desynchronization, excessive logging.

    During the Wazuh SIEM pilot, 12 previously undetected incidents were identified, and critical security gaps were remediated within 24 hours.

    The client received recommendations for regular Wazuh rule tuning, incident response formalization, and scheduled monitoring use case retesting.

    Key project results

    The financial company received a fully configured Wazuh SIEM with centralized event visibility. Incident detection time was reduced from several days to 1–2 hours, while false positives decreased by 60–70%.

    This cybersecurity case study shows that financial companies with hybrid infrastructure are most vulnerable when they believe nothing has happened. If your company processes payment data or is subject to PCI DSS - time to act.

    Metric
    Before the project
    After implementation
    MTTD
    Several days (retrospective estimate)
    1–2 hours
    MTTR
    2–3 days
    6–8 hours
    Risk level
    High
    Moderate, under control
    False positives
    Not measured, high noise
    Reduced by 60–70%
    Standards compliance
    Partial (monitoring gaps)
    Ready for PCI DSS, ISO 27001, and SOC 2 audits
    Event visibility
    Fragmented, without correlation
    Centralized: Windows, Linux, AWS, Docker
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