GRC for AI and AI for GRC - autonomous, cross-framework and audit-ready.
ome are voluntary frameworks and certifiable standards, such as NIST AI RMF and ISO/IEC 42001. Others are regulations, mandatory and backed by penalties, such as the EU AI Act. Today, proving compliance usually means spreadsheets, uploaded evidence and rounds of questions and answers, repeated framework by framework.
GRCortex AI replaces that with control assessment on a graph-based engine. Frameworks break down into sections. Your policies map to those sections, requirements map to policies, and controls meet the requirements. Questionnaires test each control, evidence checks whether requirements are met. Because everything is mapped in a graph, one failed requirement is traced instantly to every control, policy, framework and risk it affects.
Legacy GRC tools do not understand models, prompts, retrieval pipelines or agents - and their relational design struggles to connect one finding across many frameworks.
Assessments run in spreadsheets with manually uploaded evidence.
Each framework is assessed separately, duplicating work.
A single gap is hard to trace to everything it affects.
Compliance status is out of date the moment it is reported.
Automated evidence collection and assessment, with human oversight built in.
One finding is mapped at once across risks, frameworks, controls, policies and requirements - a multi-dimensional mapping that relational GRC tools cannot easily match.
Question libraries check whether policies are followed; evidence confirms whether requirements are in place. Together they show whether a control exists - and a missing control becomes a risk.
Covers standards such as ISO/IEC 42001 and NIST AI RMF and regulations such as the EU AI Act, with internal and external policies supported.
See your current stage, which controls are failing and what to fix first.
Choose the standards and regulations you must follow.
Frameworks are organized into chapters and sections, then controls, policies and requirements.
Questions test policy adherence; evidence tests requirements - collected and assessed automatically.
Any failed requirement is traced across every related control, policy, framework and risk.
The dashboard shows failing controls and what to fix first.
An organization must comply with the EU AI Act and wants to align with ISO/IEC 42001.
During control assessment, evidence for one requirement is missing, so the requirement fails. GRCortex AI traces it through the graph to the control it belongs to, the related policy, both frameworks and the linked AI risk.
Instead of discovering the same gap separately in two spreadsheets, the compliance team sees its full impact in one place and fixes it once.
Spreadsheet-driven compliance replaced by automated assessment.
One assessment counts across multiple frameworks.
Every gap linked to the controls, policies, frameworks and risks it affects.
Evidence organized and available when auditors ask.
Automated, cross-framework assessments.
Traceable evidence from requirement to framework.
Compliance gaps linked to business risk.
Security controls connected to regulatory obligations.
GRC for AI and AI for GRC - autonomous, cross-framework and audit-ready.
AI Trust Infrastructure for secure, governed and accountable enterprise AI
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