Security First: Enterprise AI Infrastructure built for Singapore PDPA & Malaysia Act 709 Compliance.

Enterprise Security Architecture

Built for Singapore law firms and Regional Enterprises under strict regulatory frameworks. Uncompromising privacy, deterministic agentic loops, and complete data sovereignty.

01. Data Privacy & Zero Training

We provide an absolute commitment that customer uploaded files, legal documents, and private patient records are strictly isolated and never used to train public or foundational AI models.

02. Financial-Grade Encryption

All data in transit is protected using TLS 1.3 encryption, while data at rest is secured via enterprise-grade AES-256 standards.

03. Certified SG Infrastructure

Our core platform is hosted on SOC 2 Type II and ISO 27001 certified compliant cloud infrastructure located in high-availability Singapore data centers.

04. Ephemeral Processing & RBAC

Systems operate under strict Role-Based Access Control (RBAC). Agent workflows process data using ephemeral memory that is flushed post-execution, backed by immutable audit logging.

05. Private RAG & Model Safeguards

We deploy private Retrieval-Augmented Generation (RAG) pipelines, ensuring confidential client data and precedent files are never exposed directly to public API endpoints.

Multi-Tenant Isolation Architecture

Rather than deploying unisolated web AI, Nesthing utilizes Postgres Row-Level Security (RLS) combined with dynamic HTTP mounting. When a task is triggered, a transient Scoped (read-only) API Key is injected for that exact session. Upon task completion, credentials expire immediately, enforcing strict compliance with SG PDPA and MY Act 709.

CLIENT REQUEST → POSTGRES POLICY ENGINE (RLS) → SCOPED API KEY → GENERATOR AGENT → SKEPTICAL EVALUATOR → AUDIT GATEWAY