A complete scoring framework giving you a real-time, volume-aware security health score (0–100) across your entire organization.
Organization Health Score Dashboard:
Global Health Score: A single number reflecting your organization's overall security posture, displayed as a color-coded gauge.
Module Score Cards: Independent scores for ASM, Brand Protection, and Detection with trend arrows showing improvement or decline.
Score History Chart: Visual trend line showing how your security posture has changed over time.
Volume-Aware Scoring Formula:
Smart Volume Scaling: The mathematical model adapts to your organization's size—because threat context matters.
Diminishing Returns: Each additional threat adds less marginal risk, preventing score inflation in noisy environments.
Iterating Toward Excellence: Resolving even one detection always produces a visible improvement in the score.
Custom Scoring Formulas:
Formula Builder: Create, edit, and test scoring formulas with a visual editor, live syntax validation, and variable suggestions.
Per-Module Formulas: Link different formulas to ASM, BP, and Detection modules based on organizational priorities.
Test Panel: Run formulas against sample data to see exact effects before deploying them.
Scoring Rules Engine:
Condition-Based Rules: Set conditional rules that automatically boost risk scores when specific thresholds are hit (e.g., "If critical vulnerabilities > 5").
Rules Management UI: Create, edit, toggle, and prioritize rules with an intuitive condition builder.
Integrated, Not Bolted On: Rule impacts flow directly through the mathematical model alongside standard calculations.
Score Impact Tracking:
Per-Detection Impact: See exactly how many points resolving a specific detection will improve your score.
Audit Trail: Score changes are logged with full context (e.g., "Resolving this phishing site improved the security score by 6.4 points").
Detections and incidents are automatically classified by AI as soon as they're created, reducing manual triage time.
AI Classification Engine: Analyzes new detections against the full classification database to determine the best category automatically.
Confidence-Based Application: High-confidence results (80%+) have classification and infringement applied automatically. Lower-confidence results are flagged for analyst review.
Transparent Reasoning: Every AI classification stores its question-answer reasoning, so you can see exactly why the AI chose its categorization.
Confidence Tags: Detections are tagged with confidence levels (high, medium, low) to quickly filter and prioritize review.
The platform automatically discovers potential assets related to your organization after onboarding and surfaces them for review.
Auto-Schedule on Signup: A discovery schedule is automatically created and runs in the background upon completing the onboarding assets stage.
Potential Asset Detections: Surfaces new domains, IPs, emails, and URLs as detections classified as "potential asset."
Dashboard Review Widget: View pending potential assets with a live count and accept/reject breakdown directly on the home dashboard.
Accept or Reject: Review discovered assets in bulk or individually. Accepted assets auto-create real monitored assets.
Smart Type Inference: Accepted assets automatically get assigned the correct type (domains, IPs, etc.) without defaulting to URL.
We've replaced manual flow-tag and asset-type selection with persona-based characters to make setting up scans faster and more intuitive.
Create Detectives: Build custom detective personas with a name, dynamically generated avatar, flow keyword, and asset types.
Detective Gallery: Pick from a visual gallery of detective cards when scheduling instead of manually configuring flow tags.
Effortless Implementation: Detective-based schedules automatically scan all matching assets in your org.
Backward Compatible: Existing discovery schedules will continue working exactly as before with no migration required.
Quick Setup Wizard:
Guided Configuration: First-time setup walks you through selecting active modules, setting weights, choosing formulas, and configuring baseline rules.
Sensible Defaults: New organizations get pre-configured scoring with reasonable module weights and default formulas out of the box.
Module Weight Configuration:
Adjustable Weights: Set how much each module (ASM, BP, Detection) contributes to the global score.
Normalized Calculation: Module weights are automatically normalized by the system if they don't sum to exactly 100%.
Trend Analysis & Anomaly Detection:
Direction Indicators: Each module shows whether it's improving, worsening, or stable compared to the previous snapshot.
Anomaly Alerts: Automatic flagging alerts you when any module score swings by more than 25%.
Onboarding Live Progress:
Real-Time Discovery: View a live "Discovering Assets..." counter that updates as new potential assets are found during onboarding.
Skip Anytime: A "Continue" button allows you to move into the platform without waiting for discovery to finish.