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Interactive walkthrough

Measure Phishing Resilience With Targeted Campaign Data

See how phishing campaigns break down by team and measure resilience improvement over time.

3 steps · ~1 minGuided walkthrough

What you'll see

See the exact workflow, the proof that stays attached, and the control points that keep reviews from turning back into document chasing.

Aurora phishing cohort breakdown showing target segments and outcome movement

Segment Campaigns by Cohort Risk

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What you can verify in this walkthrough

You are seeing the live workflow, the attached proof trail, and the control points that matter once reviewers ask follow-up questions.

Targeted campaign design

Campaigns target specific cohorts with difficulty tiers so results measure actual resilience instead of random exposure.

Outcome metrics are immediate

Click rates, report rates, and credential submission data appear as campaigns run, not weeks later.

Trend reporting shows program impact

Multi-campaign trend lines reveal whether training and awareness investments are reducing susceptibility over time.

Why this workflow matters

This workflow keeps the proof, ownership, and status context attached to the work itself, so teams do not rebuild evidence packages from scratch for each review cycle.

Tell us about the review, renewal, or framework rollout in front of you

In the live walkthrough, we map the workflow to your environment, show what stays current between review cycles, and open the governed handoff Aurora produces.

Live workflow mappingProof trailGoverned handoff

Target Training Where Resilience Is Weakest

Cohort targeting, baseline-versus-current outcomes, and intervention routing by risk tier.