What is GRC?
GRC – governance, risk and compliance – is an integrated approach to running an organisation so that it meets its objectives (governance), manages uncertainty (risk management) and follows laws, regulations and internal policies (compliance). Instead of separate teams keeping separate spreadsheets, a GRC programme connects policies, risks, controls and evidence so leaders get one view of where the organisation stands.
Key takeaways
- Governance sets direction and accountability; risk management protects objectives; compliance proves rules are followed.
- A shared risk and control framework avoids duplicated effort across teams.
- GRC software automates evidence collection, assessments and reporting.
- AI adds new governance needs – and new tools for monitoring risk.
What are the three parts of GRC?
| Component | Purpose | Typical activities |
|---|---|---|
| Governance | Direct and control the organisation | Policies, roles, decision rights, board reporting |
| Risk management | Identify and treat threats to objectives | Risk registers, assessments, mitigation plans |
| Compliance | Meet legal, regulatory and contractual obligations | Control testing, audits, evidence, training |
Which frameworks are common?
- ISO/IEC 27001 for information security management.
- SOC 2 for service organisations’ security and availability controls.
- GDPR for personal data in the EU.
- HIPAA for health information in the US.
- NIST AI Risk Management Framework and the EU AI Act for AI systems.
Key figures
- European regulators issued GDPR fines of about EUR 1.2 billion in 2025, taking the cumulative total since May 2018 to EUR 7.1 billion. (DLA Piper, 2026)
- GDPR breach notifications averaged 443 per day in 2025, a 22% rise. (DLA Piper, 2026)
- Gartner expects spending on AI governance platforms to reach $492 million in 2026 and surpass $1 billion by 2030. (Gartner, 2026)
"Good GRC is not paperwork. It is knowing your biggest risks and being able to prove you control them."
How do you build a GRC programme?
- Define scope and objectives: which regulations, business units and systems are covered.
- Create a unified control framework: map overlapping requirements to one set of controls.
- Assess risks: likelihood, impact and owners for each risk.
- Implement and test controls: technical and procedural.
- Automate evidence and monitoring: collect proof continuously instead of before each audit.
- Report and improve: dashboards for leadership and regular reviews.
How does software support GRC?
- Central risk and control registers.
- Workflow for assessments, approvals and remediation.
- Integrations with cloud, identity and ticketing systems to gather evidence automatically.
- Custom forms for audits, inspections and risk assessments – a use case our Custom Forms platform supports.
How does AI change GRC?
AI systems themselves need governance: inventories of models, risk classification, human oversight, logging and documentation. At the same time, AI can classify documents, map regulations to controls and flag anomalies, reducing manual GRC work – with humans accountable for decisions. See our Responsible AI governance checklist.
Frequently asked questions
What does GRC stand for?
Governance, risk and compliance – an integrated approach to direction, risk management and regulatory adherence.
Who is responsible for GRC?
Leadership owns governance; risk, compliance, security and business teams share responsibility for managing risks and controls.
Is GRC only for large enterprises?
No. Smaller companies benefit from a lightweight version, especially when customers require certifications such as ISO 27001 or SOC 2.
How is AI governance related to GRC?
AI governance applies GRC principles to AI systems: defining accountability, assessing AI risks and proving compliance with rules such as the EU AI Act.
How Assystant can help
Assystant helps organisations put governance into practice – from Responsible AI frameworks to secure, compliant software and identity management. See AI consulting & governance or talk to us.
