Know what AI you run, who governs it, and who answers for it
Visibility, governance and accountability for AI risk and AI compliance, in one platform.
Leadership keeps asking the same three questions
Most enterprises now run AI in production, and their leadership keeps asking the same three questions. What AI are we using? Who is governing it, and is that process consistent? And when something goes wrong, who is accountable?
GRCortex AI is built to answer all three. It gives visibility into the full AI ecosystem and its risks, governance through risk libraries, control libraries and a configurable risk engine, and accountability through clear ownership and tracked mitigation, all on dashboards leadership can actually read.
Traditional GRC tools were not built for AI
They do not understand models, prompts, retrieval pipelines or agents, so AI governance ends up spread across spreadsheets and emails.
Leadership cannot see which business unit or process or application are running or what they connect to.
Governance is inconsistent from one AI project to the next.
When an AI incident happens, nobody is clearly accountable.
Risk and compliance status is buried in documents instead of dashboards.
Four capabilities, one board-ready view
Visibility
See your AI ecosystem, applications, their components and their risks, including residual risk.
Governance
Consistent governance built on Cygeniq's risk library, control library and a risk configuration engine you tune to your business.
Accountability and assurance
Clear ownership of AI assets, risks and mitigations, with mitigation status tracked through to closure.
Executive dashboards
Views by application, issue, residual risk and mitigation status, and by business unit, process and layer.
Six steps from discovery to a live board report
Discover
Build the AI inventory and AI-BOM.
Assign ownership
Make clear who is responsible and who is accountable for each AI asset and risk.
Configure risk scoring
Set how impact and control effectiveness are measured for your business.
Assess
Run risk and control assessments.
Track
Follow mitigations through to closure.
Report
Give leadership a live view of AI risk and compliance.
Answering the board
A Chief Risk Officer is asked by the board which AI applications the organization runs and who owns the risk.
The GRCortex AI dashboard shows each AI application alongside its top issues, for example misinformation, sensitive information disclosure and supply chain risk, with residual risk and mitigation status for each.
The CRO can drill into any risk by business unit or layer and show who is accountable for each mitigation, turning a difficult board question into a single, current view.
From difficult board question to a single, current view
Board-ready answers
Clear answers on what AI is in use, how it is governed and who is accountable.
Consistent governance
The same libraries and scoring applied across every AI application.
Clear accountability
Ownership is defined before something goes wrong, not after.
Live reporting
Dashboards replace static governance documents.
| Application | Business Unit | Top Issue | Residual Risk | Mitigation Owner |
|---|---|---|---|---|
| Loan Copilot | Finance | Sensitive information disclosure | High | R. Alvarez |
| Support Assistant | Support | Misinformation | Medium | J. Kim |
| HR Policy Bot | HR | Supply chain risk | Low | M. Osei |
| Internal Search Agent | Operations | Data retention | Medium | T. Chen |
Illustrative sample data for layout purposes only.
One view, read differently by every stakeholder
Board and Executive Leadership
A clear, current view of AI risk.
CRO and Risk Officers
Residual risk and mitigation tracked per application.
CISO
Security findings connected to governance and ownership.
AI Governance Officers
A consistent operating model for every AI project.
Give your board a single, current view of AI risk
Enable visibility, governance and accountability for AI risk and AI compliance, in one platform, with dashboards leadership can actually read.
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