Introduces it
Identifies the personal-data gap and refers the company to Cluzy.
FOR COMPANIES + PEOPLE LEADERSBetter results start
Better results start
with better human data.
Your teams are under pressure to grow, reduce risk and make faster decisions. Those decisions depend on data about people - much of it collected, inferred and never verified by the person it describes.
Funds and implements it
Sponsors the program, supports employee communication and reviews aggregate outcomes.
Uses and controls it
Decides what to review, correct or remove. The company never sees individual records.
Delivers it
Handles the agreement, onboarding, employee experience, service, support and reporting.
ONE-PAGE EMPLOYER OVERVIEW
Need the Cluzy employer story in one page?
Share the problem, privacy boundary, program model, 90-day pilot and employer value with your security, HR, benefits or leadership team.
FROM DATA TO RESULTS
Bad human data becomes bad business.
Growth, risk, customer and AI decisions rely on human data. When that data is stale, inferred or wrong, teams waste money correcting avoidable mistakes while the pressure to perform keeps rising.
Wrong inputs
Collected fragments and unverified inferences enter company systems as if they were facts.
Weak decisions
Teams act on distorted profiles, creating wasted spend, missed opportunities and avoidable risk.
More pressure
People are asked to deliver better results while the data beneath the work remains unreliable.
A better source
Ownership gives people a way to see, correct and approve the information companies depend on.
THE SECURITY CASEYour tools protect systems.
Your tools protect systems.
Attackers research people.
A mature security stack can block malware, limit access and teach recognition. It still cannot remove an employee’s home address, relatives, old phone numbers or inferred vulnerabilities from public and broker profiles.
MFA
Protects account access
Does not remove public personal dataEDR + endpoint security
Protects managed devices
Does not cover an employee’s personal lifeEmail security
Filters suspicious messages
Does not remove the details that make them believableSecurity awareness
Teaches employees to recognize attacks
Does not reduce information attackers can researchCluzy Data Wellness
Finds exposed information and supports employee-controlled action
Addresses the missing personal-data layerWHY THIS BECOMES COMPANY RISK
Small fragments become a convincing script.
Attackers combine public records, broker profiles and familiar details into phishing, voice impersonation, credential theft and MFA-fatigue attacks. Training remains useful. It works better when attackers have less personal information to use.
WHAT LEADERSHIP SEES
Proof of progress without employee surveillance.
The company sees program health and aggregate threat-reduction signals. It does not see employee names, addresses, phone numbers, broker listings, passwords, removal choices or personal exposure results.
THE PRIVACY RULEEmployees control identifiable information and deletion decisions. Leadership receives aggregate program reporting.
CLUZY COMPANY VIEW · AGGREGATE68%Participation ↑ 14Data Wellness Score ↓ 19TSRI movement 327Completed actions
Planning indicators - not predictions or guaranteed savings.
CALCULATOR 01 · PERSONAL-DATA COVERAGE GAP
See what your current stack cannot close.
Select the controls you already use and the personal-data signals you see. This is a planning tool, not a risk prediction.
What already protects your company?Which signals apply?
Your tools protect systems. They do little to reduce public personal information.
A mature stack can limit access and teach recognition. It still cannot remove home addresses, relatives, old phone numbers or inferred vulnerabilities from broker profiles.
PERSONAL-DATA PLANNING GAP63/100
+ Cluzy Data WellnessEmployee-controlled exposure reduction and aggregate program progress.
COMPANY DATA WELLNESS LAB
Build a practical 90-day pilot.
Change the assumptions to create an operational target. These figures are not promised outcomes.
Actions can include removals, corrections, permission changes, breached-password fixes or closing unused accounts.
START WITH A 90-DAY PILOT
Prove the program before you scale it.
Use a defined employee group, a clear privacy promise and agreed success measures. The decision at day 90 is to stop, extend or convert - not to defend a predetermined rollout.
PREPARE · DAYS 0–15
Select the pilot group, executive sponsor, employee message, privacy boundary and baseline measures.
LAUNCH · DAYS 16–30
Onboard employees, open personal-data actions and answer early questions.
ENGAGE · DAYS 31–60
Support practical corrections, removals and healthier data habits without monitoring individuals.
REVIEW · DAYS 61–90
Assess participation, DWS, TSRI, completed actions, feedback, support load and the stop, extend or convert decision.
COMPANY SALES POINT OF CONTACT
Talk with Michael J. Munson.
Michael leads company sales for Cluzy Employee Data Wellness. Talk with him about product fit, the buying model and a focused 90-day pilot.
Contact Michael →
COMPANIES
Michael J. Munson
Founder and CEO