Integration Hub Continuous Control Signals
Turn operational activity into continuous compliance insight
Where Things Break
Control evidence exists everywhere but it’s rarely used in time
Most compliance controls already operate inside business systems identity platforms, ticketing tools, monitoring solutions, and core applications. Every day, these systems generate large volumes of logs and operational events that could serve as control evidence. But in most organisations, that data goes unused.
- Compliance teams rely on periodic testing, screenshots, and manual sampling
- Control failures, skipped approvals, and delayed actions go undetected until audits
- High profile audit failures consistently reveal control weaknesses that existed long before discovery
- Static evidence collection no longer meets regulator and auditor expectations
Sigmify GRC Approach
Continuous control monitoring powered by AI
1. Connects to your systems
Ingests operational signals from across your existing tools
2. Separates signal from noise
Filters high volume data to focus on what matters
3. Detects control failures early
Identifies failed, skipped, or delayed controls
4. Correlates across systems
Connects events to uncover hidden risks
5. Near real time visibility
Surfaces exceptions as they happen not during audits
Value Delivered
From reactive audits to proactive control
1. Early detection of issues
Catch control breakdowns before they escalate
2. Fewer audit surprises
No last minute scrambling for evidence
3. Reduced manual effort
Minimize sampling, screenshots, and manual prep
4. Stronger assurance posture
Build defensible, audit ready compliance
Proof
Organizations using continuous monitoring have
Proven results in regulated environments
Reduced audit findings and remediation effort
Improved control reliability across workflows and approvals
Strengthened oversight of automated and access based controls
Proof
Proven outcomes across industries
Uncovered data missed during years of manual tracking
50%+
Improved response timelines significantly
