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Cybersecurity Education & Fraud Prevention

01 Cybersecurity Education & Fraud Prevention · 44 edit slice
14
orgs
44
activities
10
strategies
AZ
epicenter
the opening take
This slice touches 14 organizations and 44 activities — CYBERCRIME SUPPORT NETWORK, ROSE RESOURCES OUTREACH TO SAFEGUARD THE ELDERLY, CREDIT UNIONS IN THE STATE OF CALIFORNIA, ONEAZ CREDIT UNION and others. Activity concentrates in Arizona (50%) and California (50%). The field's most common shared approach is "Consumer Data Watchdog", run by 1 orgs.
CYBERCRIME SUPPORT NETWORK and ROSE RESOURCES OUTREACH TO SAFEGUARD THE ELDERLY hold roughly a third of all activity — know those first.
pull-quote · for funders
who to look at first

shortlist

Ranked by activity breadth, method diversity, and network reach across the slice. Attach a memo to this report and this list re-ranks around your intent.

where this slice is thin

gap signals

Concrete structural gaps — method mix, geographic concentration, coalition density, funder diversity. Evidence is cited from the slice's own numbers.

where the field lives · works

geography

Orange headquarters dots are sized by how many grantees are based in the state. Green circles mark real locations these orgs say they serve — from city-level populations in this slice's impact_map_populations data. Toggle layers at the bottom right.

regional breakdown · hq density
Arizona 50% · 7 orgs
California 50% · 7 orgs
who's here

organizations in this field · 14

sort by
direct service advocacy research capacity building
where the money comes from

funders already active in this field

Funders named as a funding source on these orgs' own materials. The count is the number of orgs in this slice that cite them — higher means a funder with demonstrable commitment to the field.

Aura 1
Corporate
Axon 1
Corporate
DBS Foundation 1
Foundation
Mastercard 1
Corporate
NIST 1
Government
RTX 1
Corporate
Sierra Central Community Foundation 1
Individuals
USAID 1
Government
how the field thinks

strategies in this slice

Theories of action extracted from the orgs in this slice. The count is how many orgs cite each one — a strategy run by many orgs in common is a through-line; one cited by a single org is still surfaced so the reader can gauge the full spread.

where strategy meets practice

strategies × activity types

How each shared strategy breaks down across the four activity types the orgs running it actually do.

direct service
advocacy
research
capacity building
Consumer Data Watchdog
3
Digital Compliance Platform
1
Independent Public Watchdog
3
Institutional Judicial Reform
2
Local Partnership Model
2
Multi-Factor Authentication
1
Password Security Enforcement
1
Regulatory Advocacy for Data Privacy
3
who works with whom

named partnerships · coalitions · networks

Entities these orgs explicitly call out as partners, coalition members, or networks. Unlike the strategy-sharing graph below (which is inferred from shared approaches), these are relationships the orgs claim on their own sites.

Google Partner
shared by 3 orgs
National Credit Union Administration Government
shared by 3 orgs
Equifax Partner
shared by 2 orgs
Experian Partner
shared by 2 orgs
FTC Partner
shared by 2 orgs
TransUnion Partner
shared by 2 orgs
211.org Partner
shared by 1 org
7-Eleven Partner
shared by 1 org
AARP Partner
shared by 1 org
AIR CRE Partner
shared by 1 org
ASEAN Partner
shared by 1 org
Air Force Aid Society, Inc. Partner
shared by 1 org
Allstate Partner
shared by 1 org
America Succeeds Partner
shared by 1 org
App Store Partner
shared by 1 org
Arizona Bar Association Partner
shared by 1 org
where the field connects

strategy-sharing network

Inferred from shared theories of action: each line connects an org to a strategy it runs. Organizations that share many strategies cluster through the same nodes — funders can spot the field's structural bridges.

scale of the field

rollup metrics

Aggregated scale claims from orgs in the slice. Treat as a floor, not a ceiling — many orgs don't publish these numbers, so totals underrepresent real reach. Extreme outliers (often unit-mismatches upstream) are filtered out.

11.1M
People served
from 3 orgs
416
Staff
from 3 orgs
32
Countries served
from 2 orgs