AI Governance Dashboard for Real-Time Compliance and Risk Monitoring
Give security, compliance, and board teams one live view of enterprise AI use. Real-time monitoring, immutable audit logs, policy-violation alerts, and board-ready compliance reports across ChatGPT, Claude, Copilot, and internal LLMs.
- Live AI usage visibility
- Policy violation monitoring
- Audit-ready evidence
- Board-ready reporting

Backed & Trusted By Industry Leaders
One AI Governance Dashboard for Security, Compliance, and the Board
AI activity is scattered across assistants, copilots, agents, and internal applications. WalledAI turns that fragmented activity into a single governance view, so each team works from the same record instead of separate exports.
See Every AI Interaction
Track AI usage across ChatGPT, Claude, Copilot, internal copilots, AI agents, and approved enterprise tools. Identify who is using AI, where it is used, and what data risk is involved.
Detect Risk Before It Becomes Exposure
Monitor policy violations, sensitive-data exposure, prompt injection attempts, and department-level risk trends in real time.
Prove Governance With Evidence
Generate audit trails, compliance reports, board summaries, and evidence packages mapped to your governance policies and regulatory obligations.
Govern Every Model. See Every Interaction.
ChatGPT, Claude, Gemini, Perplexity, Copilot, or your own internal AI - every prompt is counted, every policy decision is recorded, broken down by the model that received it.

What Your AI Governance Dashboard Shows
AI interactions by department and team
Spot which business units are scaling AI fastest and prioritise governance reviews there first.
Approved and unapproved AI tool usage
Bring shadow AI into policy scope or block it before it becomes an unmanaged data channel.
Sensitive data detections and redactions
Quantify what never left your environment, and tighten classification rules where detections cluster.
Policy violations and risk trends
Target training, access changes, or stricter guardrails at the teams generating repeat violations.
Regulatory control coverage and compliance gaps
See which controls have evidence and which still need owners before an audit window opens.
Audit trail completeness and evidence readiness
Confirm you can produce a defensible record on request instead of assembling it after the fact.
Turn Company Policies Into Enforceable AI Controls
Your written policies become live controls applied at the moment of every AI interaction, with role-based governance and department risk profiles carried through automatically.
Upload policies
Acceptable use, data classification, and regulatory requirements go in as documents.
Extract controls
Rules, thresholds, and constraints are parsed into machine-enforceable controls.
Create department risk profiles
Each team inherits a profile calibrated to its data exposure and role.
Enforce policies in real time
Every AI interaction is evaluated against the live profile before it reaches a model.
Report governance outcomes
Enforcement records roll up into compliance, executive, and audit views.
Built for Every Team Accountable for AI Governance
CISO and Security Leaders
- Needs to know
- Where AI is used, which data is at risk, and whether controls are actually firing.
- Dashboard gives them
- Organisation-wide risk scoring, top risk areas, shadow AI detection, and violation trends against your own policies.
- Decision made faster
- Where to tighten guardrails or restrict model access this quarter.
Compliance and Risk Teams
- Needs to know
- Whether every AI interaction was governed, and whether the evidence exists to prove it.
- Dashboard gives them
- Control coverage mapping, enforcement records, exception registers, and exportable evidence packages.
- Decision made faster
- Whether the programme is audit-ready, and which gaps need owners.
Board and Executive Stakeholders
- Needs to know
- Whether AI adoption is creating value without creating unmanaged exposure.
- Dashboard gives them
- Adoption by business unit, incidents prevented, open exceptions, and quarter-over-quarter governance progress.
- Decision made faster
- Whether to expand AI programmes, and what oversight to require.
IT and Platform Teams
- Needs to know
- Whether the governance layer is healthy and not slowing AI workflows.
- Dashboard gives them
- Latency and throughput metrics, integration status, deployment health, and configuration history.
- Decision made faster
- Where to scale capacity or adjust integrations before users feel it.
One live view of enterprise AI risk and compliance
See how the AI governance dashboard monitors usage, enforces your policies, and produces audit-ready evidence.
Example: Preparing for an AI Governance Board Review
A regulated enterprise needs to show its board how employee and application AI use is governed.
AI adoption by business unit
Interaction volume and active users per function, trended over the reporting period.
Sensitive-data events prevented
Detections and redactions applied before prompts reached an external model.
Open policy exceptions
Approved deviations, their owners, and their review dates.
Top risk trends
The violation categories moving fastest, with the teams driving them.
Compliance control coverage
Which controls in your chosen frameworks currently have supporting evidence.
Downloadable evidence package
Audit trail extracts and enforcement records packaged for reviewers.
Instead of collecting reports manually, security and compliance teams can show the board a live, defensible view of AI governance.
The same reporting layer backs legal AI audit trails and manufacturing AI governance evidence, so each business unit can prove how its AI use was governed.
AI Governance Dashboard for Board Reporting
WalledAI helps security, compliance, and leadership teams turn AI usage, policy violations, sensitive-data events, open exceptions, and audit evidence into board-ready governance reporting. Teams can show where AI risk is increasing, which controls are working, and what needs ownership before the next review.
Audit-Ready AI Compliance Reporting
WalledAI maps dashboard evidence and enforcement records to the governance requirements your organisation has chosen to follow. This supports your own audit and attestation work; it does not provide automatic certification or guarantee compliance.
Evidence is generated from the controls already enforcing your policies, including role-based AI access controls and sensitive-data redaction at runtime.
EU AI Act
European UnionRisk classification, transparency, and high-risk system oversight evidence.
NIST AI RMF
United StatesGovern, Map, Measure, and Manage functions supported by live enforcement records.
ISO 42001
GlobalAI management system controls with documented policy and review history.
SOC 2 Type II
GlobalSecurity, confidentiality, and processing integrity evidence for AI workflows.
HIPAA
United StatesProtected health information handling and redaction records for AI use.
MAS TRM
SingaporeTechnology risk management controls for AI in regulated financial institutions.
PDPA
Singapore / ASEANPersonal data handling, consent boundaries, and retention evidence.
More Than an AI Usage Dashboard
| Capability | Basic AI usage analytics | Cloud-only AI governance tools | WalledAI Governance Dashboard |
|---|---|---|---|
| Multi-model AI visibility | Partial | Partial | Yes |
| Real-time policy enforcement | No | Partial | Yes |
| Pre-LLM sensitive-data protection | No | Partial | Yes |
| Immutable audit trail | No | Partial | Yes |
| On-premises and air-gapped deployment | No | No | Yes |
| Board and regulator reporting | No | Partial | Yes |
| Custom policy and risk profiles | No | Partial | Yes |
AI Governance Dashboard FAQs
See Your Enterprise AI Risk and Compliance Posture in One Place
Get a live view of AI usage, policy enforcement, compliance evidence, and emerging risk across every AI interaction.
Authoritative references
Primary sources behind the standards, regulations and research referenced on this page.
- NIST Privacy FrameworkStructure for privacy risk assessment and reporting.
- ISACA COBIT governance frameworkFramework for enterprise IT governance reporting and metrics.
- ISO/IEC 27001 information security managementInternational standard for information security controls.
- NIST AI Risk Management FrameworkUS framework for governing, mapping, measuring and managing AI risk.