Financial Threat Intelligence Context Engine

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