# data[].attributes.body
Start with the “Bank of Business Cases” column

This column contains all the available business cases.

Review the Use Case columns on the right

Each column is labeled with a Use Case.

Your task is to match business cases to the correct use case. (There may be more than one correct case per use case)

Drag and Drop

Click and hold the business case in the Bank of Business Cases.

Drag it into the column where you believe it belongs.

Drop it into place.

Complete all matches

Continue until all business cases have been placed under the use case columns.

Check your work with SME

Review each column to make sure the cases align with the use case description.

# data[].attributes.body
Build confidence to scale cloud initiatives without adding unnecessary risk.

# data[].attributes.body
by focusing only on exploitable vulnerabilities.

# data[].attributes.body
Automate routine testing so experts can focus on advanced, high-value scenarios.

# data[].attributes.headline
Lower incident response costs by reducing MTTD (Mean Time to Detect)

# data[].attributes.subject
Lower incident response costs by reducing MTTD (Mean Time to Detect)

# data[].attributes.body
with verified detection logic.

# data[].attributes.body
by ensuring threats are detected before causing damage.

by detection \stopping threats early.

# data[].attributes.body
by blocking threats before they spread.

# data[].attributes.body
by fine-tuning rules to reduce false positives.

# data[].attributes.body
(e.g., firewalls, EDRs, proxies).

# data[].attributes.body
with evolving TTPs and threat actors.

# data[].attributes.body
for board, auditors, and insurers.

# data[].attributes.body
Identify exploitable weaknesses quickly, prioritize them by impact, and measure improvement.

# data[].attributes.body
with business-aligned prioritization.

# data[].attributes.body
based on validated business risk.

# data[].attributes.body
Ensure existing tools and policies actually perform.

# data[].attributes.body
by validating that rules are effective (trigger an alert when they should).

# data[].attributes.headline
Bridge the gap between vuln scanning and threat validation.

# data[].attributes.subject
Bridge the gap between vuln scanning and threat validation.

# data[].attributes.body
Validate and prioritize cloud exposures based on exploitability.

# data[].attributes.body
Move from point-in-time manual testing to continuous, repeatable validation of controls, configurations, and attack paths.

# data[].attributes.body
Validate cloud posture against real-world attacks.