Maintain uptime and risk posture.
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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