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

Trusted By

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.

Platform risk breakdown dashboard showing total prompts, blocked, allowed, and force-allowed counts for ChatGPT, Claude, Gemini, Perplexity, Copilot, and an internal AI tool

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 Union

Risk classification, transparency, and high-risk system oversight evidence.

NIST AI RMF

United States

Govern, Map, Measure, and Manage functions supported by live enforcement records.

ISO 42001

Global

AI management system controls with documented policy and review history.

SOC 2 Type II

Global

Security, confidentiality, and processing integrity evidence for AI workflows.

HIPAA

United States

Protected health information handling and redaction records for AI use.

MAS TRM

Singapore

Technology risk management controls for AI in regulated financial institutions.

PDPA

Singapore / ASEAN

Personal 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

Can an AI governance dashboard help prove governance progress to the board?

Yes. WalledAI gives board and executive stakeholders visibility into AI adoption, sensitive-data events prevented, open policy exceptions, compliance control coverage, and governance progress over time.

What does an AI governance dashboard show?

An AI governance dashboard shows how AI is actually used across the organisation: interactions by department and team, approved versus unapproved AI tools, sensitive data detections and redactions, policy violations and risk trends, regulatory control coverage, and the completeness of the audit trail behind every interaction.

How does an AI compliance dashboard help security and compliance teams?

It replaces manual evidence collection with a live record. Security teams see where risk is concentrated and which controls are firing; compliance teams pull enforcement records, exception lists, and control coverage mapped to the frameworks they report against, without chasing screenshots from individual tool owners.

Can WalledAI monitor ChatGPT, Claude, Copilot, and internal AI applications?

Yes. WalledAI sits in front of the model rather than inside it, so the same governance dashboard covers commercial assistants such as ChatGPT, Claude, and Copilot, internal copilots, AI agents, and applications calling models through the WalledAI gateway or browser plugin.

Does the dashboard provide audit trails for AI interactions?

Every governed interaction is logged with timestamps, the policy evaluated, the enforcement decision taken, data classification results, and the acting role. Records are append-only, searchable, and exportable as an evidence package for internal audit or a regulator.

Can WalledAI create board-ready AI governance reports?

Yes. The dashboard generates executive summaries covering AI adoption by business unit, sensitive-data events prevented, open policy exceptions, top risk trends, and control coverage, so a board review is a live, defensible view rather than a manually assembled deck.

Can the AI governance dashboard support EU AI Act, HIPAA, SOC 2, MAS TRM, and ISO 42001 programmes?

WalledAI maps dashboard evidence and enforcement records to the control requirements your programme is built on, including the EU AI Act, NIST AI RMF, ISO 42001, SOC 2 Type II, HIPAA, MAS TRM, and PDPA. This supports your own audit and attestation work; it is not automatic certification and does not guarantee compliance.

Can WalledAI be deployed on-premises or in an air-gapped environment?

Yes. WalledAI is designed for on-premises, private cloud, and fully air-gapped deployment, so governance telemetry, audit logs, and policy data stay inside your environment. No customer data is used to train models.

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.