Product Experience
Every role. One platform.
From front-counter staff handling resident requests to the CAO reviewing council-ready reports — every role has a purpose-built journey. Explore how Civic Cybersecurity works for your team.
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Click through the actual Civic Cybersecurity interface. Navigate between the dashboard, resident profiles, service requests, and reports to see how everything connects.
LOW
Threat Level
Stable vs last month11.2m
MTTD
-73% vs last month3
Active Incidents
-2 vs last month96.8%
Compliance
+4.2% vs last monthRecent Activity
Phishing email blocked — DLP policy triggered
IT Security · 2 min ago
Failed login attempt detected — adaptive MFA challenged
Zero Trust · 8 min ago
Vulnerability scan completed — 0 critical findings
Vuln Mgmt · 15 min ago
CCCS advisory received — IOC scan initiated
Threat Intel · 22 min ago
Quarterly access certification campaign completed
IAM · 45 min ago
Role-Based Journeys
One Platform, Every Perspective
Select a role to explore their complete journey through Civic CRM — from day-one onboarding to daily workflows and strategic outcomes.
Security Analyst
From Detection to Resolution
Follow the complete lifecycle of a security incident — from SIEM alert through threat investigation, playbook-driven containment, forensic analysis, and post-incident review. Real-time correlation, automated response, and full audit trail at every step.
Detect
Threat identified
SIEM ingests events from all platform modules, infrastructure, and network. ML-based anomaly detection identifies suspicious patterns — impossible travel, unusual data access, brute force attempts — and creates a correlated alert with MITRE ATT&CK classification.
The Log Aggregation Pipeline (spec 2.1) collects events from every Civic platform module with normalization and enrichment. The ML Threat Detection Engine (spec 2.2) evaluates events against trained models and rule-based patterns. Alert Correlation (spec 2.3) groups related events into a single alert, reducing noise by 80%+. MITRE ATT&CK mapping provides standardized categorization. Threat severity scoring prioritizes response. MTTD target: < 15 minutes.
Triage
Priority assessed
Alert is automatically prioritized by severity (P1–P4) with contextual enrichment — affected user's role, department, data sensitivity, device trust status, and historical behaviour baseline. Analyst sees full context without manual investigation.
The Alert Management system (spec 2.3) performs automated triage with priority scoring based on affected asset sensitivity, user role, threat confidence, and potential impact. Contextual enrichment adds department, historical behaviour baseline, device compliance status, and related open alerts. On-call rotation management ensures 24/7 coverage. The analyst sees a complete picture in a single screen — no tool-switching required.
Contain
Automated response
Playbook engine activates the appropriate response — data breach, ransomware, phishing, insider threat, DDoS, unauthorized access, or lost device. Automated containment actions execute: account disable (3s), IP block (5s), system isolation (8s).
The Playbook Engine (spec 6.2) matches the alert type to the appropriate pre-built playbook and begins automated execution. Step-by-step response procedures guide the analyst through each phase. Automated actions — disable compromised account, block source IP, isolate affected system — execute in seconds rather than the minutes required for manual response. Incident commander is assigned and communication management initiates internal notifications.
Investigate
Forensic analysis
Forensic toolkit enables evidence collection with chain of custody, timeline reconstruction across systems, log correlation analysis, and impact assessment — determining what data was accessed or exfiltrated.
The Forensic Toolkit (spec 6.3) guides the analyst through evidence collection and preservation with forensic imaging. Chain of custody management with tamper-evident logging ensures evidence integrity. Timeline reconstruction correlates events across multiple systems. Impact assessment determines scope — what data was accessed, exfiltrated, or modified. Privacy impact assessment evaluates MFIPPA and PIPEDA notification obligations.
Eradicate
Threat removed
Complete threat eradication — compromised credentials rotated, malware removed, vulnerabilities patched, unauthorized access paths closed. System integrity verified before recovery and service restoration.
The playbook's eradication phase guides complete threat removal. Compromised credentials are forcibly rotated across all systems. Malware artifacts are quarantined and removed. The vulnerability that enabled the attack is identified and patched. Unauthorized access paths are closed and verified. System integrity checks confirm the environment is clean before recovery. All eradication actions logged with timestamp and analyst.
Review
Lessons learned
Post-incident review with root cause analysis, remediation tracking, lessons learned documentation, and process improvement recommendations. Incident data feeds trend analysis and ML model retraining.
Post-Incident Review Manager (spec 6.4) facilitates structured retrospective: root cause analysis using five-whys and fishbone methodologies, remediation action tracking with deadlines, lessons learned documentation, and process improvement recommendations. Incident trend analysis identifies patterns across incidents to guide security investment. Annual security incident report for council provides transparent accountability. ML models retrain on the new incident data to improve future detection.
Incident Journey
0 / 6
Step 01
Detect
Threat identified
SIEM ingests events from all platform modules, infrastructure, and network. ML-based anomaly detection identifies suspicious patterns — impossible travel, unusual data access, brute force attempts — and creates a correlated alert with MITRE ATT&CK classification.
The Log Aggregation Pipeline (spec 2.1) collects events from every Civic platform module with normalization and enrichment. The ML Threat Detection Engine (spec 2.2) evaluates events against trained models and rule-based patterns. Alert Correlation (spec 2.3) groups related events into a single alert, reducing noise by 80%+. MITRE ATT&CK mapping provides standardized categorization. Threat severity scoring prioritizes response. MTTD target: < 15 minutes.
Step 02
Triage
Priority assessed
Alert is automatically prioritized by severity (P1–P4) with contextual enrichment — affected user's role, department, data sensitivity, device trust status, and historical behaviour baseline. Analyst sees full context without manual investigation.
The Alert Management system (spec 2.3) performs automated triage with priority scoring based on affected asset sensitivity, user role, threat confidence, and potential impact. Contextual enrichment adds department, historical behaviour baseline, device compliance status, and related open alerts. On-call rotation management ensures 24/7 coverage. The analyst sees a complete picture in a single screen — no tool-switching required.
Step 03
Contain
Automated response
Playbook engine activates the appropriate response — data breach, ransomware, phishing, insider threat, DDoS, unauthorized access, or lost device. Automated containment actions execute: account disable (3s), IP block (5s), system isolation (8s).
The Playbook Engine (spec 6.2) matches the alert type to the appropriate pre-built playbook and begins automated execution. Step-by-step response procedures guide the analyst through each phase. Automated actions — disable compromised account, block source IP, isolate affected system — execute in seconds rather than the minutes required for manual response. Incident commander is assigned and communication management initiates internal notifications.
Step 04
Investigate
Forensic analysis
Forensic toolkit enables evidence collection with chain of custody, timeline reconstruction across systems, log correlation analysis, and impact assessment — determining what data was accessed or exfiltrated.
The Forensic Toolkit (spec 6.3) guides the analyst through evidence collection and preservation with forensic imaging. Chain of custody management with tamper-evident logging ensures evidence integrity. Timeline reconstruction correlates events across multiple systems. Impact assessment determines scope — what data was accessed, exfiltrated, or modified. Privacy impact assessment evaluates MFIPPA and PIPEDA notification obligations.
Step 05
Eradicate
Threat removed
Complete threat eradication — compromised credentials rotated, malware removed, vulnerabilities patched, unauthorized access paths closed. System integrity verified before recovery and service restoration.
The playbook's eradication phase guides complete threat removal. Compromised credentials are forcibly rotated across all systems. Malware artifacts are quarantined and removed. The vulnerability that enabled the attack is identified and patched. Unauthorized access paths are closed and verified. System integrity checks confirm the environment is clean before recovery. All eradication actions logged with timestamp and analyst.
Step 06
Review
Lessons learned
Post-incident review with root cause analysis, remediation tracking, lessons learned documentation, and process improvement recommendations. Incident data feeds trend analysis and ML model retraining.
Post-Incident Review Manager (spec 6.4) facilitates structured retrospective: root cause analysis using five-whys and fishbone methodologies, remediation action tracking with deadlines, lessons learned documentation, and process improvement recommendations. Incident trend analysis identifies patterns across incidents to guide security investment. Annual security incident report for council provides transparent accountability. ML models retrain on the new incident data to improve future detection.
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