Dashboard

Purpose

The Dashboard is the first place anyone — analyst, manager, or executive — should look. It answers three questions at a glance:

How exposed are we right now? (current score, open threat count)
Is it getting better or worse? (trend over time)
Where should we focus? (category breakdown, recent high-severity activity)

What you see

Widget	What it tells you	Why it matters
Brand Protection Score	A composite 0–100 style rating of overall exposure.	Single number for stakeholders; easy to track over time and compare across brands/business units.
Score trend chart	Historical score movement (daily/weekly/monthly snapshots).	Shows whether monitoring + takedown effort is actually reducing risk, not just generating activity.
Threat volume by category	Counts across Website & Domains, Social Media, Mobile Apps, Dark Web, Scams, Counterfeit, Advertisement, Data Exposure.	Identifies which channel is producing the most abuse so you can prioritize resources or policy changes (e.g., stricter marketplace enforcement).
Open vs. resolved counts	How many detections/incidents are New, In Progress, or Closed.	Tracks backlog health — a growing "open" count without matching growth in "resolved" signals a bottleneck.
Recent activity feed	Latest detections, status changes, takedown updates.	Lets you spot anything urgent without navigating away.
Impact / exposure metrics	Estimated reach of active threats (traffic, followers, downloads) where available.	Helps prioritize by actual harm, not just count — a phishing page with 10,000 hits/day outranks one with none.

Example: category breakdown

pie showData
    title Open Threats by Category (Example)
    "Website & Domains" : 34
    "Social Media" : 22
    "Mobile Apps" : 8
    "Dark Web" : 6
    "Scams" : 15
    "Counterfeit" : 10
    "Advertisement" : 3
    "Data Exposure" : 2

Example: score trend over a quarter

xychart-beta
    title "Brand Protection Score — Last 6 Months"
    x-axis [Apr, May, Jun, Jul, Aug, Sep]
    y-axis "Score (0-100)" 0 --> 100
    line [62, 58, 65, 71, 76, 82]

A rising score (as configured here, higher = better/less exposed) indicates that new threats are being caught and mitigated faster than new ones appear. If your instance uses "higher = more risk," the interpretation flips — check the legend on your Dashboard.

How the score is calculated

The score is produced by a scheduled scoring pipeline that inspects every open and recently-resolved ticket (detection/incident), weighs it by severity, category, and how long it has been open, and stores a snapshot so trends can be plotted over time.

sequenceDiagram
    participant S as Scheduler
    participant C as Data Collector
    participant T as Tickets (Detections/Incidents)
    participant Sc as Scoring Engine
    participant D as Dashboard

    S->>C: Trigger scoring run (on schedule)
    C->>T: Pull open/resolved tickets + severity + age
    C->>Sc: Aggregate signals
    Sc->>Sc: Compute weighted score
    Sc->>D: Store score snapshot (for trend chart)
    D-->>D: Render current score + trend

Factors that typically move the score:

Number of open, unresolved threats — more open items generally lowers (worsens) the score.
Severity mix — a handful of Critical items can outweigh dozens of Low ones.
Age of open items — threats open far longer than your SLA drag the score down more than fresh ones.
Resolution velocity — how quickly incidents move from Promoted to Resolved.
Category weighting — some categories (e.g. active phishing) are weighted more heavily than others (e.g. a stale dark web mention) because they carry more immediate customer risk.

Typical use

Start your day on the Dashboard to see if anything new or high-severity appeared overnight.
Use the trend chart in reviews and board reports to demonstrate risk reduction to stakeholders.
Click into any category widget to jump straight to a filtered view in Detections.
Watch the open-vs-resolved ratio weekly — a widening gap is an early warning that Intelligence or Mitigation is under-resourced.