Identity & Cybersecurity Intelligence · IAM · Zero Trust · SIEM/SOAR · Threat Intelligence
AI learning from 3,214 security outcomes
ENV: PROD-SOC · ROLE: IDENTITY LEAD
Dashboard
TrendIQ 12
DecisionIQ 8
ActionIQ 8
EffectivenessIQ 24
Identity & Cybersecurity Operations
Continuous risk mitigation across IAM, Zero Trust, SIEM, threat intelligence, and access governance
◊ Knowledge graph: 128,471 linked artifacts
Identity Hygiene Score
91%
↑ 8% vs prior quarter
Zero Trust Coverage
87.3%
↑ 4.2% mo/mo
MFA Adoption
96.8%
↑ 2.1% mo/mo
Mean Time to Remediate
-31%
vs Q1 baseline
Open Critical Risks
11
↑ 3 new this week
Continuous Intelligence Loop
Signal → Decision → Execution → Outcome → Organizational Learning
● Active across all modules
TrendIQ
12 active signals
→
DecisionIQ
8 initiatives
→
ActionIQ
8 in execution
→
EffectivenessIQ
24 outcomes learned
Access Review Cycle Time — 12-week trend
Days per access certification cycle across critical systems
Security Operations Time Recaptured
Hours/week per security analyst, by activity
Identity Lifecycle Health
Joiner/Mover/Leaver automation & attestation status
Signal Mix — Last 30 Days
Where AI is detecting identity & security risk
AI Confidence Distribution
Across active recommendations
Top Security Risks — AI-prioritized
Highest-impact items pulled from TrendIQ
AI Security Copilot
Live workflow optimizations the system is recommending
TrendIQ — Identity & Security Signal Detection
Continuous detection of access anomalies, identity drift, MFA gaps, privilege creep, and zero trust policy violations across IAM, SIEM/SOAR, Cloud Security, PAM, and IGA platforms
● Connected to 11 security systems
Active Signals
12
↑ 3 this week
Pattern Clusters
5
2 emerging
Cross-Domain Correlations
7
3 high-strength
RCAs in Progress
4
Avg conf 86%
AI Recommendations
9
Pending review
Signals 12
Patterns 5
Correlations 7
Root Cause Analysis 4
Recommendations 9
DecisionIQ — Initiative Management
Active identity & security initiatives created from accepted signals, with AI-suggested follow-on tasks
8 active initiatives12 AI suggestions pending
AI Continuously Recommending
The system is learning from 3,214 historical security outcomes to improve every recommendation below
Initiative owners
94% acceptance
Task owners
89% acceptance
Closure paths
82% accepted
Follow-on tasks
71% accepted
ActionIQ — Execution Coordination
Two-tier Kanban: initiatives at the top, task drill-down on click
Initiatives Kanban
AI Operational Copilot
Live workflow optimizations across the board
Automation Opportunities
Workflows AI can orchestrate end-to-end (with security analyst signoff)
EffectivenessIQ — Organizational Learning
What worked, what failed, and how the system is getting better at security & identity recommendations
● Continuous learning active
Outcomes Captured
3,214
↑ 187 this month
SME Corrections
412
→ model refinement
Initiative Success Rate
92%
↑ from 78% (Q1)
AI Recommendation Accuracy
93%
↑ 11pts vs baseline
Failed Closures Studied
48
Root-caused
Recent Learning Events
Outcomes from closed initiatives feeding back into the recommendation model
Improvement Over Time
Recommendation acceptance rate by quarter
What's Working (Reinforced)
Patterns the AI is doubling down on
What's Not Working (Down-weighted)
Patterns the AI is moving away from
Add Custom Task
AI has pre-filled this based on the initiative's closure path
AI Pre-fill — Suggestions below are editable. Owner defaults to AI's recommendation.