Gulfitech SDMS

Organizations undergoing FedRAMP audits deal with massive amounts of infrastructure data and documentation.

Manual compliance processes slow down audits, increase costs, and introduce inconsistencies.

The Challenge

• Manual evidence collection from AWS infrastructure (EC2, S3, IAM, etc.)
• Complex mapping of data to NIST 800-53 controls
• Time-consuming narrative writing for compliance reports
• Disconnected data sources (documents, databases, cloud)
• High audit timelines with risk of human error

The Solution

A powerful AI-driven Audit Automation Platform that streamlines evidence gathering, analysis, and compliance narrative generation using cloud integrations and intelligent AI pipelines.

How It Works (AI Pipeline)

• AWS Infrastructure Scan
• Document Parsing (PDF, DOCX, XLSX)
• Data Aggregation & Synchronization
• Vectorization (pgvector for semantic search)
• AI Narrative Generation (RAG + LLM)
• Auditor Review & Approval Dashboard

Key Features

• Automated AWS compliance data extraction
• Intelligent document parsing & data ingestion
• AI-powered narrative generation aligned with NIST 800-53
• Semantic search using vector embeddings
• Auditor review & approval workflow
• Centralized dashboard for audit visibility
• Scalable cloud-native architecture

Impact

• 70% reduction in manual effort
• 2–3x faster audit completion
• Improved accuracy & consistency
• Better audit traceability & visibility
• Scalable for multiple compliance frameworks (SOC2, ISO, etc.)

Result

A complete transformation from manual, slow processes → intelligent, automated workflows

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