AI-Powered Analytics with Amazon OpenSearch
This architecture combines Amazon OpenSearch with AWS Security Lake, Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Fraud Detector, Amazon Kinesis, and AWS Lambda into search-first pipelines for fraud detection, fusion investigations, and Generative AI-assisted security automation. Event-driven processing, ML scoring, and hybrid cloud/on-prem deployment reduce tool sprawl and shorten investigations.
Cyber Use Cases
Insider Threat & Data Movement Correlation
Unified data loss prevention (DLP) telemetry (sensitive exports, print jobs, removable media) with physical presence signals (badge access, device/printer logs) in a search-driven workspace to expose insider activity, IP exfiltration, and rogue device insertion. Fusing digital and physical context enabled real-time insider risk monitoring at enterprise scale.
Global Cloud Analytics & Fusion Investigations (AWS Cloud)
Partner-oriented buildout that fuses fraud analytics, physical threat signals, and OSINT into AWS cloud analytics pipelines with AWS Security Lake and Amazon OpenSearch. Accelerates triage, correlates multi-domain telemetry, codifies casework into reusable playbooks, and supports red/white-team reconstruction and coverage validation against ATT&CK/kill-chain.
GenAI Incident Response
Automated response workflows using Amazon OpenSearch as the retrieval/correlation engine with Amazon SageMaker and Amazon Bedrock for model orchestration, integrating EDR analytics (anomalous processes, persistence, lateral movement) and risk-based vulnerability prioritization to cut time-to-contain with generative playbooks.
Fusion Investigations & Threat Simulation
Workspace patterns that support complex investigations (policy violations, organized crime, APT campaigns). Reconstruct adversary activity across data layers, transform investigations into reusable playbooks, and continuously validate detections against ATT&CK through threat simulation.
OSINT & External Intelligence Fusion
Ingests public and dark-web chatter, credential leaks, sentiment shifts, and actor affiliations into Amazon OpenSearch; correlates with fraud, cyber, and physical telemetry to drive intelligence-led prioritization, surface early escalation indicators, and link external signals to insider/fraud pipelines.
Cyber Fraud & Financial Crime Analytics
Behavioral and transactional analytics for synthetic identities, mule activity, and account abuse. Hybrid rules plus ML scoring with analyst feedback loops, investigator workbench views, and disposition insights.
Threat Hunting & Coverage
Proactive hunts mapped to MITRE ATT&CK, focusing on persistence and lateral movement. Detection content, hunt playbooks, and coverage reporting that measurably improve alert quality and reduce MTTD/MTTR.
Cloud Control-Plane & Network Analytics
Extends analytics into AWS-native logs (CloudTrail, VPC Flow Logs, AWS Config, GuardDuty) feeding Amazon OpenSearch for real-time correlation of control-plane events and network activity to detect unauthorized API usage, misconfigurations, and anomalous flows.
Planning a fusion analytics build like this? Reach me on LinkedIn.