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    Financial Threat Intelligence Context Engine

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    Sold by: XenonStack 
    The Financial Threat Intelligence Context Engine enables banking and financial institutions to unify security telemetry, transaction anomalies, identity activity, and access behavior into a single security intelligence layer. Built on ElixirData (Context OS) and deployed on AWS-native infrastructure including Amazon EKS, Amazon MSK, AWS Lambda, and Amazon CloudWatch, the platform continuously correlates insider threat indicators, credential abuse patterns, anomalous access activity, and lateral movement risks across the banking technology estate. By building a contextual security graph across operational and security environments, organizations gain faster threat detection, improved investigation capabilities, and enhanced security intelligence.

    Overview

    Financial Threat Intelligence Challenge:

    Financial institutions operate complex environments spanning core banking systems, payment platforms, digital banking applications, identity services, security monitoring tools, and enterprise infrastructure. These environments generate large volumes of security telemetry, transaction anomalies, authentication events, and access activity. However, traditional monitoring platforms often operate in silos, making it difficult to correlate signals across multiple domains and identify emerging threats before they escalate.

    This leads to:

    • Fragmented visibility across security, identity, and transaction monitoring systems
    • Delayed detection of insider threats and credential abuse
    • Difficulty correlating suspicious activity across users, systems, and applications
    • Increased investigation effort and response delays
    • Limited visibility into attack progression and lateral movement
    • High operational overhead for security operations teams
    • Incomplete understanding of enterprise-wide threat patterns

    As banking environments become increasingly interconnected, traditional monitoring approaches struggle to provide the contextual intelligence required for proactive threat detection and investigation.

    Our Solution: Financial Threat Intelligence Context Engine:

    ElixirData (Context OS) provides a unified security intelligence layer that builds a contextual graph across banking security operations and enterprise infrastructure.

    The platform:

    • Ingests telemetry from SIEM platforms, identity systems, transaction monitoring tools, and access management solutions
    • Correlates transaction anomalies, authentication activity, access patterns, and security events
    • Detects insider threat indicators, credential abuse, and anomalous behavior in real time
    • Maps relationships across users, systems, applications, devices, and transactions
    • Identifies attack progression and lateral movement across the banking environment
    • Provides continuous security observability and investigation intelligence
    • Maintains contextual lineage and traceability across security events

    This enables:

    • End-to-end visibility across banking security environments
    • Faster detection of insider threats and credential misuse
    • Real-time correlation of operational and security signals
    • Improved coordination across security operations and risk teams
    • Continuous threat intelligence and investigation readiness

    Unlike traditional SIEM-centric monitoring systems, ElixirData transforms fragmented security signals into contextual, decision-ready intelligence.

    AWS-Native Deployment Architecture:

    The platform leverages:

    • Amazon EKS
    • Amazon MSK
    • AWS Lambda
    • Amazon CloudWatch
    • Amazon S3
    • Amazon OpenSearch Service

    This enables secure and scalable security intelligence across financial services environments.

    Key Benefits:

    • Improves visibility across security and operational environments
    • Detects insider threats and credential abuse faster
    • Correlates security, identity, and transaction anomalies in real time
    • Accelerates investigations and threat analysis
    • Enhances enterprise security intelligence and traceability
    • Reduces manual correlation and investigation effort
    • Provides contextual lineage across security events and attack paths

    Professional Services Scope:

    We provide end-to-end services including:

    • Assessment & Discovery

      • Analysis of security operations and threat monitoring workflows
      • Evaluation of SIEM, identity infrastructure, and transaction monitoring systems
      • Identification of visibility and intelligence gaps
    • Implementation & Integration

      • Deployment of ElixirData on AWS infrastructure
      • Configuration of Amazon EKS, Amazon MSK, AWS Lambda, and Amazon CloudWatch
      • Integration with SIEM tools, identity providers, transaction monitoring systems, and security platforms
      • Configuration of contextual security graphs and threat intelligence workflows
    • Managed Services

      • Continuous monitoring and operational optimization
      • Threat intelligence tuning and investigation refinement
      • Performance tracking and operational improvements
      • Cost optimization and scalability management

    Ideal Customers:

    • Banks & Financial Institutions
    • Digital Banking Organizations
    • Financial Security Operations Centers
    • Payment Service Providers

    Buyer Personas:

    • Chief Information Security Officer (CISO)
    • VP Security Operations
    • Security Operations Teams
    • Threat Intelligence Teams
    • Risk & Compliance Leaders

    Highlights

    • Unified security context graph across SIEM, transaction, identity, and access systems
    • Real-time detection of insider threats, credential abuse, and lateral movement risks
    • Context-driven intelligence for faster investigations and proactive threat management

    Details

    Delivery method

    Deployed on AWS
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