Our Standards
The governance frameworks behind every EIS system
We don't treat governance as a compliance checkbox. These frameworks are embedded at the architecture level of every system we build.
AI Verify (Singapore)
Singapore's national AI governance testing framework. We align every system to AI Verify's testable criteria for transparency, fairness, and robustness.
NIST AI Risk Management Framework
The gold standard for AI risk management. We map risks across the AI lifecycle — from data collection to deployment to monitoring — and build mitigations into the architecture.
OWASP LLM Top 10
Security vulnerabilities specific to large language models. We test for prompt injection, data leakage, insecure output handling, and all ten OWASP-identified risks.
PDPA (Personal Data Protection Act)
Singapore's data protection law. Every data pipeline we build includes consent management, access controls, and audit trails that satisfy PDPA requirements.
Human-in-the-Loop Validation
Critical decisions always get human oversight. We build review workflows where domain experts validate AI outputs before they reach end users.
Bias Detection & Monitoring
Continuous monitoring for bias across protected attributes. We build automated fairness checks that flag drift and trigger reviews before harm occurs.
Governance by Design
Responsible AI isn't a phase. It's woven into FORGE.
ASSESS
Risk identification, data ethics review, bias baseline measurement, and regulatory requirement mapping for your industry.
ARCHITECT
Governance-by-design: explainability layers, access controls, audit logging, and human-in-the-loop checkpoints built into the system architecture.
BUILD
Automated compliance checks in CI/CD, bias testing in model evaluation, OWASP security scans, and PDPA data handling validation.
OPERATE
Continuous monitoring for model drift, fairness metrics dashboards, incident response procedures, and quarterly governance reviews.