AI enabled GRC for Digital Data
Privacy and beyond
A unified GRC platform that embeds AI into real-world compliance workflows enhanced with SIEM, HRM integration, real-time monitoring, and continuous risk intelligence to deliver accountability, operational efficiency, and trust at scale.
AI enabled GRC for Digital Data Privacy and beyond
A unified GRC platform that embeds AI into real world compliance workflows enhanced with SIEM, HRM integration, real time monitoring, and continuous risk intelligence to deliver accountability, operational efficiency, and trust at scale.
AI Applied to Compliance
Sigmify GRC leverages AI to reduce manual effort, uncover risks earlier, and improve accountability, while integrating SIEM, HRM driven insights and keeping human oversight at the core of compliance decision-making.
Personal Data Discovery & Inventory
Compliance and privacy teams often struggle to maintain an accurate, real time view of where personal data resides across complex systems. Manual tracking methods quickly become outdated as environments scale.
How Sigmify GRC Addresses It
Sigmify GRC continuously scans connected systems using AI-powered pattern recognition and context-aware intelligence to identify personal data. Integration with SIEM and data activity monitoring ensures continuous validation of data flows and data stores.
Measurable Outcome
● Stronger data privacy accountability
● Faster Data Principal request fulfillment
● Reduced risk from unmanaged or shadow data
Integration Hub Continuous Control Signals
Control evidence is often distributed across logs, workflows, and systems but remains underutilized until audit cycles. Manual validation results in delays and missed risks.
How Sigmify GRC Addresses It
Sigmify GRC’s Integration Hub streams operational data into the platform in real time. AI filters high-volume SIE, HRM events, identifies anomalies, and surfaces control failures, enabling continuous control monitoring.
Measurable Outcome
● Early detection of control issues
● Reduced audit surprises
● Lower manual effort in evidence collection
Risk‑Based Task Prioritization
Compliance teams face large volumes of tasks without clear prioritization, making it difficult to focus on high-risk issues or meet deadlines during audits or regulatory changes.
How Sigmify GRC Addresses It
Sigmify GRC uses AI to analyze tasks based on risk context, deadlines, historical patterns, and SIEM, HRM triggered alerts. Tasks are dynamically prioritized to ensure critical risks are addressed first.
Measurable Outcome
● Improved SLA adherence
● Fewer escalations and missed deadlines
● Predictable and optimized workload management
Regulatory Change Monitor
Frequent regulatory updates, circulars, and amendments create uncertainty around which policies and controls require updates and how urgently action is needed.
How Sigmify GRC Addresses It
Sigmify GRC continuously scans regulatory updates and maps them to existing controls and policies. AI highlights overlaps and gaps, while SIEM, HRM and monitoring insights help assess real-world control effectiveness.
Measurable Outcome
● Faster regulatory impact assessments
● Targeted control and policy updates
● 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
