Infrastructure Security & Compliance Automation Accelerator
Overview
Key Offerings
Unified Infrastructure Security Data Ingestion
Ingests cloud configuration and activity logs, CSPM findings, EDR/XDR telemetry, IAM events, network data, and vulnerability feeds into Delta Lake, creating a single, normalized view of infrastructure risk.
AI-Assisted Risk Investigation & Correlation
Correlates misconfigurations, vulnerabilities, identity risks, and threat signals across tools, applying real-time risk scoring enriched with asset criticality and business context.
Continuous Compliance & Evidence Automation
Maps infrastructure findings for regulatory controls and best practices, generating auditable evidence bundles and compliance views for SOC 2, PCI-DSS, HIPAA, and ISO 27001.
Conversational Security & Compliance Intelligence
Enables infrastructure security teams and executives to assess posture, identify gaps, and explore remediation priorities using natural language via Databricks AI/Genie.
Automated Remediation Prioritization
Security agents rank remediation actions by risk-to-effort, group related fixes, track progress, and automatically validate closure using fresh telemetry.
Deliverables
Infrastructure Security Lakehouse Pipelines
Streaming and batch pipelines built with Delta Live Tables to ingest, normalize, enrich, and correlate infrastructure security telemetry at scale.
Risk & Compliance Dashboards
Real-time dashboards powered by Databricks SQL showing misconfigurations, vulnerabilities, asset risk scores, remediation status, MTTR, and compliance coverage.
AI/Genie-Powered Investigation Interfaces
Conversational interfaces for infrastructure security managers and CISOs to explore risks, compliance gaps, and remediation impact without manual analysis.
Risk Scoring & Correlation Models
ML models for asset risk scoring, misconfiguration prioritization, and threat correlation, tracked with MLflow and deployed through Model Serving.
Governance, Lineage & Audit Controls
Unity Catalog–driven role-based access, lineage, immutability, and audit logging across data, models, investigations, and remediation workflows.