AI/ML, Generative AI & Cyber Fusion Analytics

Search-first pipelines that unify cyber, fraud, OSINT, and telemetry with ML-augmented analytics in Amazon OpenSearch.

AI-Powered Analytics with Amazon OpenSearch

By integrating Amazon OpenSearch with AWS Security Lake, Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Fraud Detector, Amazon Kinesis, and AWS Lambda — and aligning to Generative AI best practices — this architecture delivers scalable, search-first pipelines for fraud detection, fusion investigations, and GenAI-assisted security automation. Event-driven processing + ML augmentation + hybrid cloud/on-prem flexibility reduce tool sprawl while enabling predictive intelligence and intelligent automation.

Cyber Use Cases

Insider Threat & Data Movement Correlation

Unified 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 + 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 open-source intelligence 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 + 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.