AtomHub 2.0
    Governance, Risk & Compliance

    Make governance invisible—and rock-solid

    We design, build, and run the policies, controls, and evidence that keep your data & AI programs safe, compliant, and fast.

    Protected

    PII controls

    Compliant

    DPDP/GDPR

    Fast

    Built-in, not bolted-on

    Policy
    Access
    Audit
    The Problem

    Problems we solve

    Undefined ownership & policies

    Conflicting rules, last-minute fire drills

    PII everywhere

    Ad-hoc masking, unclear consent, retention risks

    No single truth for audits

    Missing lineage, weak evidence, long audit cycles

    Controls that slow delivery

    Governance bolted on, not built-in

    What We Ship

    Core deliverables

    Policy & Controls (as code)

    • Business policies translated into enforceable data contracts and guardrails
    • Thresholds for quality, freshness, and SLOs; standardized exception flows
    • Change control: versioned policies, approvals, and release hygiene

    Privacy & PII Protection

    • Data classification & tagging; PII/PHI discovery jobs
    • Masking/tokenization, differential access, consent & retention automations
    • Redaction / minimization patterns for docs, logs, and analytics outputs

    Access & Entitlements

    • RBAC/ABAC models with least-privilege scopes and just-in-time access
    • Entitlement reviews, break-glass procedures, and tamper-evident logs
    • Federation with SSO/IAM; integration with warehouses, lakes, and BI tools

    Data Quality & Contracts

    • Tests, monitors, SLAs for critical tables & pipelines
    • Incident routing with error budgets and ownership; failed-to-fixed tracking
    • Contract checks at ingest, transform, and BI entry points

    Lineage & Catalog

    • End-to-end lineage (job, dataset, column) wired to catalogs and change logs
    • Impact analysis for schema changes; deprecation policies with timelines
    • Human-readable docs for auditors and operators

    Audit & Evidence

    • One-click audit packs: lineage screenshots, policy versions, access logs, DQ history
    • Control mappings (DPDP/GDPR, sectoral standards) with test evidence
    • Attestations & quarterly control effectiveness reports

    Risk & FinOps

    • Cost guardrails (storage tiers, query budgets), anomaly detection
    • Risk register with likelihood/impact and owners; recurring review cadence
    • Compliance SLOs published to business & tech stakeholders
    How It Works

    Architecture flow

    1

    Map obligations & risk

    Regs, policies, data domains, owners, critical paths

    2

    Classify & inventory

    PII/PHI discovery, tagging, and catalog baselining

    3

    Codify controls

    Data contracts, access models, DQ thresholds, exception flows

    4

    Enforce

    At ingestion, storage, transform, and BI access layers

    5

    Observe & attest

    Lineage, DQ, access logs, policy versions → audit pack

    6

    Operate & improve

    Access reviews, incident drills, quarterly control updates

    Success Metrics

    KPIs we target

    Access review completion

    Compliance ↑

    PII exposure

    Findings & dwell time ↓

    DQ pass rate & coverage

    Quality ↑

    Audit cycle time

    Efficiency ↓

    Cost per compliant dataset

    FinOps ↓

    Policy exception backlog

    Clear owners ↓

    FAQs

    Common questions

    Ready to get started?

    Ship trust by design

    Let's build the policies, controls, and evidence that keep your data & AI programs safe, compliant, and fast