How AI and GenAI are redefining governance in Infor GRC
Governance, risk management, and compliance (GRC) has always been about visibility: who has access to what, who did this or that, and whether any of it violated policy. Rule-based controls have delivered that visibility reliably for years—but enterprise complexity has grown, fraud patterns have evolved, and artificial intelligence (AI) systems are now proliferating faster than governance frameworks can keep up. At Infor GRC, we're responding on two fronts. First, by using AI to make traditional GRC dramatically more effective, and second by turning the lens of governance onto AI itself.A powerful foundation
Infor™ GRC rests on four pillars:
- Authorization Insight delivers continuous segregation-of-duties (SoD) analysis and sensitive-access monitoring
- Access Manager builds compliance into provisioning from the start
- Certification Manager keeps entitlements current through periodic access reviews.
- Transaction Monitoring applies rule-based detection across enterprise resource planning (ERP) data to surface fraud and anomalies
This foundation remains essential, but rules can only catch what you anticipated when you wrote them and modern compliance has outpaced what rules alone can deliver.
Harnessing AI to make GRC smarter
Smarter provisioning
The classic GRC pain point is the rejection cycle: submit, flag an SoD conflict, resubmit. AI-driven role recommendations fix this at the source, surfacing the right roles based on peer group, SoD compliance and rejection history before a request is submitted.
Simpler certifications
Instead of raw access lists, generative AI (GenAI) generates intelligent summaries of what's actively used, what looks anomalous, and what's safe to re-certify. This allows managers to focus on the exceptions that warrant closer scrutiny.
Sharper transaction monitoring
While rules enforce known policies well, they can't catch risks that have not been defined. Machine learning (ML) fills that gap, surfacing subtle behavioural deviations and novel fraud patterns. Together, rules bring precision while ML brings breadth, covering more ground than either alone.
Faster risk documentation
GenAI automatically summarises complex risk findings in plain language and auto-populates incident fields via Embedded Experience. This reduces manual effort and keeps compliance teams focused on judgment, not data entry.
Conversational access
With GenAI agents embedded in GRC, users can ask "What are the current open violations for my team?" and get a clear answer, or take action directly—approving requests, acknowledging violations, triggering mitigations—all through conversation. This isn't a chatbot bolted onto GRC. It's GRC intelligence made directly accessible while the agent ecosystem continues to expand.
Governing AI, the new frontier
A question worth considering: Do you know how many AI and GenAI solutions are active in your organisation right now and exactly what each one does? For most organisations, the honest answer is no. AI deployment is outrunning the oversight built to govern it.
This is where AI Governance comes in as a capability we're actively building as part of the Infor GRC roadmap.
The AI registry is a centralised inventory of every AI and GenAI use case across your tenant, including the technology, business function, risk status, assessment history and accountable owner behind each one. When a risk surfaces, compliance teams can disable a use case directly from the GRC interface until it's mitigated—making governance operational, not just informational.
Monitoring AI behaviour happens through an upgraded User Activity Insight engine that combines rule-based detection with machine learning to continuously watch for:
- Misuse of AI capabilities by users or processes
- Guardrail violations and abuse
- Unusual data access or interaction patterns by AI agents
- Behavioural drift from a system's documented purpose
The result is an always-on compliance posture that keeps pace with how your AI footprint evolves.
One platform, two directions, one mission
AI is making GRC smarter through intelligent provisioning, streamlined certifications, deeper anomaly detection, and conversational access for every stakeholder. At the same time, GRC is becoming the governance layer for AI—the registry, controls and behavioural monitoring organisations need as their AI footprint grows.
The future of GRC isn't AI replacing compliance. It's AI and compliance reinforcing each other by becoming smarter, faster and more trustworthy than either could be alone.