AI enabled GRC for Digital Data
Privacy and beyond
A unified GRC platform that embeds AI into real compliance workflows not as an experiment, but as a practical tool for accountability, efficiency, and trust.
AI Applied to Compliance
Sigmify GRC applies AI to reduce manual effort, surface risk earlier, and improve accountability while keeping humans in control.
Personal Data Discovery & Inventory
Compliance and privacy teams struggle to maintain an accurate view of where personal data exists. Spreadsheets, interviews, and one‑time scans quickly fall out of date, especially across growing tech stacks.
How Sigmify GRC Addresses It
Sigmify GRC continuously scans connected systems using pattern and context aware intelligence to identify personal data. It validates whether data exists in approved locations and flags anomalies where data appears unexpectedly.
Measurable Outcome
- Stronger DPDPA accountability
- Faster Data Principal request fulfillment
- Reduced risk from undocumented data store
Integration Hub Continuous Control Signals
Control evidence often exists inside system logs, workflows, and tools but remains unused until audit time. Manual testing misses drift, delays, and failures.
How Sigmify GRC Addresses It
Sigmify GRC Integration Hub streams operational activity into the platform. AI filters routine events and highlights exceptions controls that failed, were skipped, or were delayed.
Measurable Outcome
- Earlier detection of control issues
- Fewer audit surprises
- Reduced manual evidence effort
Risk‑Based Task Prioritization
Compliance teams face clusters of work with limited clarity on what requires immediate attention. Manual prioritization does not scale during audits or regulatory change.
How Sigmify GRC Addresses It
Sigmify GRC analyzes tasks using risk context, deadlines, and historical patterns. AI classifies work as urgent, important, or routine and dynamically recommends next best actions.
Measurable Outcome
- Improved SLA adherence
- Fewer escalations
- Predictable workload management
Regulatory Change Monitor
Frequent guidelines, circulars, and amendments create uncertainty about what controls or policies need updating and how urgently.
How Sigmify GRC Addresses It
Sigmify GRC scans new regulatory publications and maps them against existing controls and policies. It highlights overlaps, gaps, and areas requiring attention.
Measurable Outcome
- Faster regulatory impact assessment
- Targeted updates instead of broad rework
- Clear ownership of remediation actions
Risk‑Based Task Prioritization
User Pain
Compliance teams face clusters of work with limited clarity on what requires immediate attention. Manual prioritization does not scale during audits or regulatory change.
How Sigmify Addresses It
Sigmify analyzes tasks using risk context, deadlines, and historical patterns. AI classifies work as urgent, important, or routine and dynamically recommends next best actions.
Measurable Outcome
- Improved SLA adherence
- Fewer escalations
- Predictable workload management
Regulatory Change Monitor
User Pain
Frequent guidelines, circulars, and amendments create uncertainty about what controls or policies need updating — and how urgently.
How Sigmify Addresses It
Sigmify scans new regulatory publications and maps them against existing controls and policies. It highlights overlaps, gaps, and areas requiring attention.
Measurable Outcome
- Faster regulatory impact assessment
- Targeted updates instead of broad rework
- Clear ownership of remediation actions
Personal Data Discovery & Inventory
User Pain
Compliance and privacy teams struggle to maintain an accurate view of where personal data exists. Spreadsheets, interviews, and one‑time scans quickly fall out of date, especially across growing tech stacks.
How Sigmify Addresses It
Sigmify continuously scans connected systems using pattern‑ and context‑aware intelligence to identify personal data. It validates whether data exists in approved locations and flags anomalies where data appears unexpectedly.
Measurable Outcome
- Stronger DPDPA accountability
- Faster Data Principal request fulfillment
- Reduced risk from undocumented data store
Integration Hub – Continuous Control Signals
User Pain
Control evidence often exists inside system logs, workflows, and tools — but remains unused until audit time. Manual testing misses drift, delays, and failures.
How Sigmify Addresses It
Sigmify’s Integration Hub streams operational activity into the platform. AI filters routine events and highlights exceptions — controls that failed, were skipped, or were delayed.
Measurable Outcome
- Earlier detection of control issues
- Fewer audit surprises
- Reduced manual evidence effort