IT & Security

IT & Security

Maintain uptime and risk posture.

IT & Security Dashboards — Data Sources

IT & Security Dashboards — Data Sources

Effective IT & Security dashboards depend on integrating signals from multiple operational and security systems into a single, trusted view. Below are the most common (and most valuable) data sources, grouped by function.

Effective IT & Security dashboards depend on integrating signals from multiple operational and security systems into a single, trusted view. Below are the most common (and most valuable) data sources, grouped by function.

Identity & Access Management (IAM)

Purpose: Monitor who has access to what, and detect abnormal behaviour.

Typical data sources

  • User authentication logs (logins, failures, MFA challenges)

  • Privilege changes (role assignments, admin grants)

  • Access reviews and entitlement audits

  • SSO activity across internal and third-party apps


Key insights

  • Failed login spikes

  • Dormant or over-privileged accounts

  • MFA adoption and enforcement gaps

Endpoint & Device Security

Purpose: Ensure laptops, servers, and mobile devices are secure and compliant.

Typical data sources

  • Endpoint Detection & Response (EDR) logs

  • Antivirus / malware events

  • Device posture (OS version, patch level, encryption status)

  • USB and peripheral activity


Key insights

  • Malware detections by device or user

  • Unpatched or non-compliant endpoints

  • High-risk devices accessing sensitive systems

Network & Perimeter Security

Purpose: Detect threats entering or moving within the network.

Typical data sources

  • Firewall logs (allowed/blocked traffic)

  • IDS/IPS alerts

  • VPN usage logs

  • DNS and proxy logs


Key insights

  • Suspicious inbound/outbound traffic

  • Lateral movement patterns

  • Unusual geolocation access

Cloud Infrastructure & SaaS Platforms

Purpose: Maintain visibility and control in cloud-first environments.

Typical data sources

  • Cloud provider audit logs (compute, storage, IAM actions)

  • SaaS application activity logs

  • API usage and service account activity

  • Configuration change events


Key insights

  • Risky configuration changes

  • Excessive permissions in cloud roles

  • Shadow IT usage

Vulnerability & Patch Management

Purpose: Understand exposure before it becomes an incident.

Typical data sources

  • Vulnerability scan results

  • Patch deployment status

  • Asset inventory databases

  • CVE intelligence feeds


Key insights

  • Critical vulnerabilities by asset or team

  • Patch compliance trends

  • Risk-weighted exposure over time

Incident Response & SOC Operations

Purpose: Track detection, response, and resolution effectiveness.

Typical data sources

  • Security incident tickets

  • SIEM alerts and correlations

  • SOAR playbook execution logs

  • Analyst actions and escalations


Key insights

  • Mean Time to Detect (MTTD)

  • Mean Time to Respond (MTTR)

  • Incident volume by severity and type

Compliance, Risk & Governance

Purpose: Demonstrate control effectiveness and regulatory readiness.

Typical data sources

  • Policy compliance checks

  • Audit findings and exceptions

  • Risk registers

  • Third-party risk assessments


Key insights

  • Control coverage vs requirements

  • Outstanding audit issues

  • Risk trends by business unit

IT Operations & Reliability

Purpose: Ensure systems are available, performant, and resilient.

Typical data sources

  • Monitoring and observability tools (CPU, memory, uptime)

  • Incident and change management systems

  • Backup and disaster recovery logs

  • Service desk tickets


Key insights

  • System availability and SLA adherence

  • Change-related incidents

  • Recurring root causes

How These Sources Come Together

A mature IT & Security dashboard typically:

  • Centralises logs and metrics into a single data platform

  • Applies normalised definitions (e.g. what counts as an “incident”)

  • Serves different audiences:

    • Executives → risk posture, trends, exposure

    • IT leadership → reliability, compliance, resourcing

    • Security teams → alerts, investigations, response metrics

Key Principle

Security dashboards are not about showing alerts — they are about showing risk, control, and readiness.

The value comes from connecting technical signals to business impact, not from displaying raw logs.

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