Back to Portfolio
Case Study: Enterprise AI Governance

AI Trust

"Safe, Compliant, and Trustworthy AI Deployment at Scale."

Password Protected Demo
6mo → 4wks
Deployment Time
-90%
Compliance Cycles
95%+
Risk Mitigation

The Problem

  • Fortune 500 enterprises struggle to deploy generative AI due to regulatory uncertainty.
  • Existing governance tools are designed for traditional software, not AI systems.
  • Bias, hallucinations, and data leakage create unacceptable enterprise risk.
  • Compliance teams lack visibility into AI model behavior and training data provenance.

The Vision

Create the first AI-native governance platform that treats AI models as first-class citizens — with continuous monitoring, automated policy enforcement, and risk-aware deployment pipelines.

Expertise Highlights

Architecture
AI-Native Governance Layer
Tech Stack
Neo4j, TypeScript, Trust Graph, NLQ
Impact
Accelerated GenAI Adoption

Key Innovations

AI-Native Policy Framework

Purpose-built for LLM behaviors, not traditional software rules.

Continuous Trust Scoring

Real-time risk assessment based on model outputs and usage patterns.

Automated Compliance

Pre-built templates for SOC 2, ISO 27001, GDPR, and HIPAA.