Governance & Compliance Overview

Slim.io’s governance engine automates data security enforcement through policy-as-code, drift detection, and risk-based remediation. It bridges the gap between discovering sensitive data and taking action on it.

Core Capabilities

Policy-as-Code

Define governance rules in YAML that specify conditions, scopes, and actions. Policies are version-controlled, auditable, and support dry-run mode before enforcement.

Drift Detection

Continuously monitors for configuration changes and new violations. When a previously compliant file becomes non-compliant (new PII detected, policy scope change, etc.), drift events are generated and remediation playbooks execute.

Risk Scoring

Every finding, file, and connector receives a computed risk score (0–100) based on data sensitivity, volume, exposure level, and policy coverage. Scores drive prioritization and automated actions.

Data Sprawl Detection

Identify sensitive data that has been replicated across multiple systems. When the same PII value appears in S3, Snowflake, Slack, and Google Drive, slim.io correlates those findings to show you the full picture — and what it takes to fully remediate.

Exposure Intelligence

Automatically determine how accessible each resource is — public, shared, internal, or private — by analyzing the native access controls on every scanned resource. Combined with access activity data, this tells you not just who can access sensitive data, but who is accessing it.

Compliance Mapping

Map findings and policies to regulatory frameworks (GDPR, HIPAA, PCI-DSS, SOC 2) for audit-ready reporting and gap analysis.

Governance Workflow


Scan Completes
  → Findings written to Data Catalog
  → Policy engine evaluates all active policies
  → Matching findings trigger policy actions
    → Alert (Slack, email, webhook)
    → Tokenize (authenticated AES-256 encryption)
    → Mask (redact in place)
    → Quarantine (move to isolation bucket)
  → Drift detection updates baseline
  → Risk scores recalculated
  → Compliance dashboard updated

Policy evaluation happens automatically after every scan. You do not need to manually trigger governance checks — findings flow through the policy engine as they are discovered.

Getting Started with Governance

Review Findings — Start by reviewing scan findings in the Data Catalog to understand your data landscape
Create Policies — Write YAML policies targeting the PII categories and connectors most critical to your organization
Dry-Run — Deploy policies in dry-run mode to validate they match expected findings without taking action
Enforce — Switch policies to enforced mode to enable automated remediation
Monitor Drift — Use the drift detection dashboard to track new violations and policy changes

Learn More

Policy-as-Code — YAML policy definitions, scopes, rules, and actions
Data Sprawl Detection — Cross-system PII correlation and deletion impact analysis
Exposure Intelligence — Automated access control analysis and ownership resolution
Notifications & Webhooks — Real-time alerts via Slack, email, PagerDuty, and webhooks
Drift Detection — Configuration drift monitoring and auto-remediation
Risk Scoring — Score computation algorithm and severity levels
Workspaces & RBAC — Multi-tenant isolation and role-based access control