Co esponding au ho : Ajay Venka Nag ale
Copy igh © 2025 Au ho (s) e ain he copy igh o his a icle. This a icle is published unde he e ms o he C ea i e Commons A ibu ion License 4.0.
Tokeniza ion and push p o isioning: A secu i y amewo k o digi al paymen s in he
LGPD Compliance E a
Ajay Venka Nag ale *
Me a Pla o ms, Inc., USA.
Wo ld Jou nal o Ad anced Resea ch and Re iews, 2025, 26(02), 526-537
Publica ion his o y: Recei ed on 25 Ma ch 2025; e ised on 02 May 2025; accep ed on 04 May 2025
A icle DOI: h ps://doi.o g/10.30574/wja .2025.26.2.1641
Abs ac
This a icle examines he c i ical ole o okeniza ion and push p o isioning echnologies in secu ing digi al ansac ions
while acili a ing compliance wi h da a p o ec ion egula ions, pa icula ly B azil's Gene al Da a P o ec ion Law (LGPD).
The a icle analyzes how hese echnologies undamen ally ans o m paymen secu i y pa adigms by eplacing
sensi i e paymen c eden ials wi h non-sensi i e okens, he eby minimizing da a exposu e isks while main aining
ansac ion unc ionali y. Special a en ion is gi en o B azil's PIX ins an paymen sys em as a case s udy o
implemen ing okeniza ion wi hin eal- ime ansac ion amewo ks unde s ingen egula o y equi emen s. The
a icle explo es he echnical a chi ec u e o mode n okeniza ion sys ems, au hen ica ion mechanisms in push
p o isioning, compliance challenges, and implemen a ion s a egies o inancial ins i u ions. By examining eme ging
ends and inno a ions in ansac ion secu i y, his a icle con ibu es o he schola ly unde s anding o how inancial
echnology can simul aneously add ess secu i y ulne abili ies, egula o y manda es, and use expe ience
conside a ions in inc easingly complex digi al paymen ecosys ems.
Keywo ds: Tokeniza ion; Push P o isioning; LGPD Compliance; Digi al Paymen s; T ansac ion Secu i y
1. In oduc ion
1.1. Digi al T ansac ion Secu i y Challenges
The digi al paymen s landscape has unde gone signi ican ans o ma ion in ecen yea s, d i en by echnological
ad ancemen s, changing consume p e e ences, and egula o y de elopmen s. As digi al ansac ions p oli e a e ac oss
global ma ke s, inancial ins i u ions and se ice p o ide s ace moun ing challenges in secu ing paymen ecosys ems
while main aining seamless use expe iences. The con e gence o secu i y equi emen s wi h e ol ing egula o y
amewo ks has c ea ed a complex en i onmen ha necessi a es inno a i e app oaches o ansac ion p o ec ion.
Digi al ansac ion secu i y challenges ha e in ensi ied wi h he expansion o paymen channels and ouchpoin s.
T adi ional secu i y measu es a e inc easingly inadequa e agains sophis ica ed h ea ec o s ha a ge
ulne abili ies ac oss he paymen li ecycle [1]. The dis ibu ed na u e o mode n paymen ecosys ems, spanning
mobile de ices, connec ed comme ce pla o ms, and cloud in as uc u es, has expanded he a ack su ace while
complica ing secu i y go e nance. Secu i y a chi ec u es mus now add ess no only di ec h ea s o paymen
c eden ials bu also he b oade da a p o ec ion implica ions o ansac ion p ocessing [1].
1.2. Tokeniza ion and Push P o isioning: Founda ional Concep s
Tokeniza ion and push p o isioning ha e eme ged as co ne s one echnologies add essing hese mul i ace ed secu i y
challenges. Tokeniza ion eplaces sensi i e paymen c eden ials wi h non-sensi i e subs i u e alues, e ec i ely
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minimizing he exposu e o ac ual ca dholde da a du ing ansac ion p ocessing. This app oach undamen ally al e s
he secu i y pa adigm by educing he alue o in e cep ed da a o po en ial a acke s.
Push p o isioning complemen s okeniza ion by enabling secu e deli e y o paymen c eden ials o use de ices
h ough au hen ica ed channels, ensu ing ha sensi i e da a is p o ec ed h oughou i s li ecycle. Toge he , hese
echnologies es ablish a secu i y amewo k ha p ese es ansac ion unc ionali y while subs an ially mi iga ing da a
exposu e isks.
1.3. Balancing Secu i y, Compliance, and Use Expe ience
The in e sec ion o secu i y, compliance, and use expe ience ep esen s a c i ical conside a ion in mode n paymen
ecosys ems. Secu i y implemen a ions ha c ea e ic ion in he use jou ney o en ace adop ion challenges, ega dless
o hei echnical e icacy [2]. Success ul paymen secu i y s a egies mus he e o e balance obus p o ec ion wi h
ope a ional e iciency and use con enience.
Tokeniza ion add esses his balance by shi ing secu i y complexi y o he in as uc u e laye , allowing consume s o
comple e ansac ions wi hou addi ional au hen ica ion s eps while main aining s ong p o ec ion o hei inancial
in o ma ion.
1.4. The B azilian Con ex : PIX and LGPD
The B azilian inancial ma ke p o ides a pa icula ly ele an con ex o examining hese dynamics, especially h ough
he lens o he PIX ins an paymen sys em and he Gene al Da a P o ec ion Law (LGPD). Launched in No embe 2020,
PIX ans o med B azil's paymen landscape by enabling eal- ime ansac ions be ween indi iduals and businesses
h ough mul iple channels. The sys em's popula i y and apid adop ion ha e c ea ed bo h oppo uni ies and challenges
in secu i y implemen a ion.
Simul aneously, LGPD has es ablished comp ehensi e equi emen s o pe sonal da a p o ec ion, including speci ic
p o isions a ec ing paymen p ocessing. This egula o y amewo k necessi a es me hodical app oaches o da a
minimiza ion and p o ec ion— equi emen s ha okeniza ion is uniquely posi ioned o add ess. The con e gence o
PIX's ope a ional equi emen s wi h LGPD's compliance manda es illus a es he p ac ical applica ion o okeniza ion
in balancing secu i y, egula o y compliance, and paymen inno a ion.
2. Unde s anding Tokeniza ion Technology in Digi al Paymen s
2.1. Fundamen al Concep s and Mechanics o Ca d Tokeniza ion
Tokeniza ion echnology ep esen s a undamen al ad ancemen in he p o ec ion o sensi i e paymen in o ma ion. A
i s co e, okeniza ion in ol es he eplacemen o p ima y accoun numbe s (PANs) and o he sensi i e ca dholde da a
wi h algo i hmically gene a ed subs i u e alues known as okens. Unlike he o iginal paymen c eden ials, hese okens
hold no in insic alue o po en ial a acke s, he eby signi ican ly educing he isk associa ed wi h da a b eaches [3].
The okeniza ion p ocess ypically ollows a s uc u ed sequence. When a cus ome ini ia es a digi al paymen o s o es
ca d de ails, he sys em secu ely ansmi s he sensi i e da a o a oken se ice p o ide (TSP). The TSP hen gene a es
a unique oken ha co esponds o he speci ic ca d de ails and e u ns his oken o he me chan o se ice p o ide
o s o age and u u e ansac ion p ocessing. The o iginal ca d in o ma ion emains secu ed wi hin he TSP's oken
aul , wi h obus secu i y measu es isola ing his sensi i e da a om po en ial comp omise [3].
A c i ical dis inc ion in okeniza ion implemen a ion is he sepa a ion be ween paymen okeniza ion and secu i y
okeniza ion. Paymen okeniza ion p ima ily ocuses on secu ing ca dholde da a in compliance wi h indus y
s anda ds, while secu i y okeniza ion add esses b oade da a p o ec ion equi emen s ac oss a ious in o ma ion
ca ego ies. Bo h app oaches sha e he undamen al goal o da a subs i u ion bu may employ di e en me hodologies
and go e nance amewo ks depending on he speci ic use case and egula o y en i onmen [4].
2.2. Types o Tokeniza ion Me hods and Implemen a ion App oaches
Tokeniza ion sys ems encompass mul iple me hodological app oaches, each wi h dis inc cha ac e is ics sui ed o
pa icula secu i y equi emen s and ope a ional con ex s. Fo ma -p ese ing okeniza ion main ains he s uc u e and
o ma o he o iginal da a, enabling seamless in eg a ion wi h exis ing sys ems ha expec speci ic da a pa e ns. This
app oach acili a es implemen a ion wi hou ex ensi e modi ica ions o es ablished da abase s uc u es and p ocessing
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wo k lows. Con e sely, non- o ma -p ese ing okeniza ion p io i izes secu i y o e o ma consis ency, po en ially
equi ing mo e ex ensi e sys em adap a ions bu o e ing enhanced p o ec ion [4].
Implemen a ion models o okeniza ion a y acco ding o o ganiza ional equi emen s and esou ce cons ain s. On-
p emises okeniza ion solu ions p o ide o ganiza ions wi h di ec con ol o e he okeniza ion in as uc u e and
p ocesses, enabling cus omized secu i y implemen a ions and po en ially elimina ing dependencies on ex e nal se ice
p o ide s. Cloud-based okeniza ion se ices, meanwhile, o e scalabili y and educed implemen a ion complexi y,
hough hey in oduce conside a ions ega ding da a so e eign y and se ice p o ide secu i y p ac ices. Hyb id
app oaches combine elemen s o bo h models, seeking o op imize he balance be ween secu i y con ol and ope a ional
e iciency [3].
Tokeniza ion can also be ca ego ized by scope and pe sis ence. Session-based okens p o ide empo a y subs i u es o
sensi i e da a du ing speci ic ansac ion sessions, while pe sis en okens enable ecu ing ansac ions wi hou
equi ing epea ed submission o paymen c eden ials. The selec ion be ween hese app oaches depends on he speci ic
use case, wi h conside a ions including ansac ion equency, use expe ience equi emen s, and secu i y isk
ole ance [4].
2.3. Compa ison wi h T adi ional Enc yp ion Me hods
While bo h okeniza ion and enc yp ion se e o p o ec sensi i e da a, hey employ undamen ally di e en
app oaches wi h dis inc secu i y and ope a ional implica ions. Enc yp ion ans o ms sensi i e da a using
c yp og aphic algo i hms and keys, c ea ing ciphe ex ha can be econ e ed o i s o iginal o m h ough dec yp ion.
This e e sibili y ep esen s bo h a s eng h and po en ial ulne abili y, as he secu i y o enc yp ed da a ul ima ely
depends on key managemen p ac ices [3].
Tokeniza ion, by con as , does no employ ma hema ical ans o ma ions o he o iginal da a. Ins ead, i c ea es an
en i ely new ep esen a ion ha se es as a e e ence o he o iginal in o ma ion s o ed in a secu e oken aul . This
app oach elimina es he isk associa ed wi h c yp og aphic key comp omise, as he e exis s no algo i hmic ela ionship
be ween he oken and he o iginal da a ha could be exploi ed [4].
The ope a ional implica ions o hese di e en app oaches ex end o compliance conside a ions, pe o mance impac ,
and implemen a ion complexi y. Enc yp ion ypically equi es comp ehensi e key managemen in as uc u e,
including secu e key gene a ion, o a ion, and s o age p ocesses. Tokeniza ion shi s his complexi y o he oken aul
secu i y bu gene ally simpli ies he equi emen s o sys ems handling he okenized da a. F om a pe o mance
pe spec i e, enc yp ion p ocesses may impose compu a ional o e head o each ansac ion, while okeniza ion
ypically concen a es p ocessing equi emen s a he ini ial okeniza ion and subsequen de okeniza ion phases [3].
Table 1 Compa ison o Tokeniza ion and T adi ional Enc yp ion Me hods [3, 4, 7]
Cha ac e is ic
Tokeniza ion
T adi ional Enc yp ion
Da a T ans o ma ion
Subs i u ion wi h un ela ed alue
Ma hema ical ans o ma ion
Re e sibili y
Token aul lookup
C yp og aphic key
Secu i y Dependency
Token aul p o ec ion
Key managemen
Fo ma P ese a ion
O en a ailable
Requi es special algo i hms
Compliance Impac
Po en ial scope educ ion
Main ains compliance scope
Pe o mance
P ocessing a endpoin s
O e head o each ope a ion
2.4. Token Li ecycle Managemen and Secu i y Conside a ions
E ec i e oken li ecycle managemen encompasses mul iple s ages om c ea ion h ough e i emen , each equi ing
speci ic secu i y con ols and ope a ional p ocesses. The oken gene a ion phase mus ensu e andomness and
uniqueness o p e en p edic abili y ha could unde mine he secu i y model. Token mapping and s o age in ol e
main aining he ela ionship be ween okens and hei co esponding sensi i e da a wi hin highly secu ed oken aul s,
wi h s ic access con ols and enc yp ion o he aul i sel [4].
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Token ansmission p esen s addi ional secu i y conside a ions, pa icula ly in dis ibu ed paymen ecosys ems. E en
hough okens hemsel es con ain no sensi i e in o ma ion, hei ansmission should employ secu e p o ocols o
p e en in e cep ion and po en ial misuse h ough social enginee ing o o he a ack ec o s. Token alida ion
p ocesses mus au hen ica e he eques e and e i y ansac ion legi imacy be o e allowing de okeniza ion o
ansac ion app o al [3].
Token e i emen and o a ion s a egies add ess he long- e m secu i y o okenized sys ems. Pe iodic oken o a ion
educes he isk associa ed wi h po en ial comp omise, while p ope e i emen p ocedu es ensu e ha obsole e okens
canno be used o unau ho ized ansac ions. These p ocesses mus be ca e ully managed o main ain se ice
con inui y while enhancing he secu i y pos u e o e ime [4].
Go e nance amewo ks o okeniza ion sys ems should add ess se e al key a eas, including access con ol o oken
aul s, audi mechanisms o okeniza ion ope a ions, inciden esponse p ocedu es o suspec ed oken comp omise,
and compliance alida ion agains ele an indus y s anda ds and egula o y equi emen s. Comp ehensi e secu i y
assessmen s should e alua e no only he okeniza ion echnology i sel bu also i s in eg a ion poin s wi h o he
sys ems and po en ial a ack ec o s speci ic o he implemen a ion con ex [3].
3. Push P o isioning: S eamlining Secu e Paymen C eden ials
3.1. De ining Push P o isioning and I s Ope a ional F amewo k
Push p o isioning ep esen s an ad anced app oach o digi al paymen c eden ial deli e y ha undamen ally
ans o ms how paymen ins umen s a e dis ibu ed o consume s. Unlike adi ional ca d issuance ha elies on
physical deli e y o manual en y o ca d de ails, push p o isioning enables he di ec , secu e ansmission o paymen
c eden ials o use de ices h ough digi al channels. This app oach signi ican ly enhances secu i y while s eamlining
he use onboa ding expe ience o digi al paymen se ices [5].
A i s co e, push p o isioning ope a es wi hin a mul i-s akeholde amewo k ha encompasses issue s, oken se ice
p o ide s, walle p o ide s, and end use s. The ope a ional model es ablishes secu e communica ion channels be ween
hese en i ies, allowing o au hen ica ed c eden ial deli e y wi hou exposing sensi i e paymen in o ma ion. This
amewo k add esses se e al his o ical challenges in digi al paymen s, including secu i y ulne abili ies du ing
c eden ial en y, ic ion in walle onboa ding p ocesses, and inconsis en use expe iences ac oss di e en paymen
pla o ms [6].
Push p o isioning implemen a ions ypically unc ion wi hin es ablished oken se ice a chi ec u es, le e aging
okeniza ion p inciples o ensu e ha e en du ing he p o isioning p ocess, ac ual ca d de ails emain p o ec ed. The
ope a ional sequence gene ally includes issue au hen ica ion, c eden ial p epa a ion, secu e ansmission o he a ge
de ice o applica ion, and con i ma ion o success ul en ollmen . Th oughou his p ocess, c yp og aphic p o ec ions
main ain he in eg i y and con iden iali y o he paymen c eden ials [5].
3.2. Technical A chi ec u e Suppo ing Secu e C eden ial Deli e y
The echnical a chi ec u e unde pinning push p o isioning sys ems inco po a es mul iple secu i y laye s designed o
p o ec c eden ials h oughou he ansmission and s o age li ecycle. These a chi ec u es ypically implemen end- o-
end enc yp ion o all c eden ial da a, wi h c yp og aphic keys managed h ough ha dwa e secu i y modules (HSMs)
o compa able secu e elemen s. This app oach ensu es ha e en i ansmission channels a e comp omised, he
enc yp ed c eden ial da a emains p o ec ed om unau ho ized access [6].
Communica ion p o ocols wi hin push p o isioning a chi ec u es emphasize secu e API implemen a ions ha
au hen ica e all pa icipa ing en i ies be o e allowing c eden ial ansmission. These APIs ypically employ s ong
mu ual au hen ica ion, equi ing bo h he eques ing applica ion and he c eden ial sou ce o e i y hei iden i ies
h ough digi al ce i ica es o compa able c yp og aphic mechanisms. Addi ional secu i y measu es o en include
ne wo k segmen a ion, a ic il e ing, and anomaly de ec ion o iden i y po en ial a acks agains he p o isioning
in as uc u e [5].
The c eden ial p epa a ion phase wi hin push p o isioning a chi ec u es in ol es se e al c i ical p ocesses, including
da a o ma ing, okeniza ion (whe e applicable), and c yp og aphic packaging. These p ocesses ensu e ha c eden ials
a e s uc u ed app op ia ely o he a ge walle o applica ion while main aining secu i y con ols app op ia e o he
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sensi i i y o he da a. Many implemen a ions employ de ice binding echniques ha c yp og aphically link c eden ials
o speci ic ha dwa e elemen s wi hin he ecipien de ice, p e en ing c eden ial ex ac ion o cloning [6].
3.3. In eg a ion wi h Mobile Walle s and Paymen Applica ions
In eg a ion be ween push p o isioning se ices and mobile walle s ep esen s a c ucial aspec o he ecosys em,
equi ing s anda dized in e aces while accommoda ing walle -speci ic implemen a ion equi emen s. These
in eg a ions ypically le e age es ablished SDK amewo ks p o ided by oken se ice p o ide s, enabling consis en
secu i y implemen a ions while allowing o cus omized use expe iences wi hin di e en walle en i onmen s [5].
The walle in eg a ion p ocess encompasses se e al key componen s, including use in e ace elemen s o ini ia ing
c eden ial eques s, secu e s o age mechanisms o ecei ed c eden ials, and ansac ion p ocessing componen s ha
u ilize he p o isioned c eden ials o paymen au ho iza ion. These in eg a ions mus balance secu i y equi emen s
wi h use expe ience conside a ions, implemen ing obus p o ec ion wi hou in oducing excessi e ic ion in he
en ollmen o paymen p ocesses [6].
Push p o isioning implemen a ions o en di e en ia e be ween in-app p o isioning lows and c oss-app p o isioning
scena ios. In-app lows main ain he use wi hin a single applica ion en i onmen h oughou he p o isioning p ocess,
ypically p o iding mo e s eamlined expe iences bu equi ing deepe in eg a ion be ween he applica ion and
p o isioning se ices. C oss-app lows, meanwhile, ansi ion use s be ween applica ions (such as om a banking app
o a walle app) du ing p o isioning, in oducing addi ional hando conside a ions bu po en ially educing in eg a ion
complexi y o indi idual applica ions [5].
The ma ke has seen e olu ion in in eg a ion app oaches, wi h ea ly implemen a ions o en equi ing cus om
de elopmen o each walle pla o m, while mo e ecen amewo ks emphasize s anda dized APIs ha educe
in eg a ion complexi y. These s anda diza ion e o s ha e been pa icula ly e iden in majo oken se ice pla o ms,
which inc easingly p o ide uni ied in e aces ha suppo mul iple walle en i onmen s h ough consis en
implemen a ion pa e ns [6].
Table 2 Push P o isioning In eg a ion Models [5, 6]
In eg a ion Model
Cha ac e is ics
Secu i y Conside a ions
Use Expe ience
In-App
Single applica ion deli e y
Con ained en i onmen
S eamlined onboa ding
C oss-App
App- o-app ansi ion
Secu e hando equi ed
Addi ional s eps
SDK-Based
S anda dized componen s
Consis en implemen a ion
Uni o m expe ience
API-Based
Di ec sys em in eg a ion
Cus om implemen a ion
Tailo ed lows
B owse -Based
Web c eden ial deli e y
TLS dependency
Wide compa ibili y
3.4. Use Au hen ica ion Mechanisms wi hin Push P o isioning
Use au hen ica ion wi hin push p o isioning amewo ks ep esen s a c i ical secu i y con ol ha p e en s
unau ho ized c eden ial dis ibu ion while main aining accep able use expe ience s anda ds. Au hen ica ion
implemen a ions ypically adop mul i- ac o app oaches ha combine a ious e i ica ion elemen s, po en ially
including possession ac o s (de ice e i ica ion), knowledge ac o s (passwo ds o PINs), and inhe ence ac o s
(biome ics) [5].
The au hen ica ion sequence o en begins wi h exis ing issue au hen ica ion mechanisms, le e aging es ablished
online banking o mobile banking au hen ica ion amewo ks ha ha e al eady e i ied he use 's iden i y. This
app oach builds upon exis ing us ela ionships a he han es ablishing en i ely new au hen ica ion p ocesses,
educing ic ion while main aining secu i y s anda ds. Following ini ial au hen ica ion, addi ional e i ica ion s eps
may be implemen ed speci ically o he p o isioning ac ion, pa icula ly o high- alue c eden ial ypes [6].
Biome ic au hen ica ion has gained p ominence wi hin push p o isioning implemen a ions, o e ing a balance o
secu i y and usabili y ha aligns well wi h mobile paymen en i onmen s. Finge p in , acial ecogni ion, and o he
biome ic modali ies p o ide s ong use e i ica ion while minimizing in e ac ion equi emen s. These app oaches a e
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ypically implemen ed as de ice-based e i ica ion, wi h biome ic da a p ocessed locally a he han ansmi ed o
emo e sys ems [5].
Risk-based au hen ica ion ep esen s ano he e ol ing app oach wi hin push p o isioning, adjus ing au hen ica ion
equi emen s based on con ex ual isk ac o s such as de ice cha ac e is ics, loca ion pa e ns, and beha io al analy ics.
This adap i e app oach enables s eamlined expe iences in low- isk scena ios while applying addi ional e i ica ion
s eps when isk indica o s sugges po en ial unau ho ized access a emp s. The implemen a ion o hese isk models
equi es ca e ul calib a ion o balance secu i y p o ec ion agains use expe ience conside a ions [6].
4. Regula o y Compliance: LGPD and Da a P o ec ion F amewo ks
4.1. Analysis o LGPD Requi emen s o Paymen P ocesso s
B azil's Gene al Da a P o ec ion Law (LGPD) es ablishes comp ehensi e equi emen s o o ganiza ions ha p ocess
pe sonal da a, wi h speci ic implica ions o paymen p ocesso s ope a ing wi hin he B azilian ma ke . The egula o y
amewo k de ines pe sonal da a b oadly, encompassing any in o ma ion ela ed o an iden i ied o iden i iable na u al
pe son. Fo paymen p ocesso s, his de ini ion ex ends o ca dholde da a, paymen his o y, ansac ion pa e ns, and
associa ed iden i ying in o ma ion, c ea ing ex ensi e compliance obliga ions h oughou he paymen li ecycle [7].
LGPD es ablishes se e al legal bases o da a p ocessing, equi ing paymen p ocesso s o iden i y and documen he
app op ia e basis o each p ocessing ac i i y. While con ac ual necessi y and legi ima e in e es may suppo many
paymen p ocessing unc ions, consen equi emen s in oduce addi ional conside a ions o ce ain p ocessing
ac i i ies, pa icula ly hose ex ending beyond co e ansac ion p ocessing. These equi emen s necessi a e clea
communica ion wi h da a subjec s ega ding how hei paymen in o ma ion will be used and p o ec ed [8].
The p inciple o pu pose limi a ion wi hin LGPD cons ains paymen p ocesso s om using collec ed paymen da a o
pu poses beyond hose speci ically disclosed o and au ho ized by he da a subjec . This equi emen p esen s
pa icula challenges o da a analy ics, aud p e en ion sys ems, and ma ke ing ini ia i es ha migh o he wise
le e age paymen da a o pu poses beyond di ec ansac ion p ocessing. O ganiza ions mus ca e ully e alua e and
documen he ela ionship be ween collec ed paymen da a and i s in ended uses [7].
Da a subjec igh s unde LGPD c ea e ope a ional equi emen s o paymen p ocesso s, including mechanisms o
suppo access eques s, co ec ion capabili ies, da a po abili y, and dele ion p ocesses whe e legally pe missible.
These equi emen s in oduce complexi y o paymen sys ems ha mus balance egula o y compliance wi h
ope a ional necessi y, pa icula ly ega ding ansac ion eco ds ha may be subjec o e en ion equi emen s unde
inancial egula ions. This in e sec ion o po en ially con lic ing egula o y amewo ks necessi a es ca e ul compliance
planning [8].
4.2. Tokeniza ion as a Compliance Enable o Da a Minimiza ion
Tokeniza ion aligns s a egically wi h LGPD's p inciple o da a minimiza ion, which equi es o ganiza ions o limi
pe sonal da a p ocessing o wha is necessa y o decla ed pu poses. By eplacing sensi i e paymen c eden ials wi h
non-sensi i e okens, o ganiza ions can main ain unc ional capabili ies while educing he olume o pe sonal da a
ac ually p ocessed and s o ed. This app oach di ec ly suppo s compliance wi h minimiza ion equi emen s while
main aining business unc ionali y [7].
The implemen a ion o okeniza ion c ea es clea bounda ies be ween okenized en i onmen s wi h minimal
compliance obliga ions and de okenized en i onmen s equi ing comp ehensi e p o ec ion measu es. This
segmen a ion enables o ganiza ions o educe hei compliance scope by limi ing he sys ems and pe sonnel wi h access
o ac ual pe sonal da a. F om a isk managemen pe spec i e, his app oach concen a es secu i y esou ces on he
oken aul and de okeniza ion p ocesses while educing he compliance bu den ac oss b oade sys em componen s
[8].
Tokeniza ion pa icula ly add esses LGPD's equi emen s ega ding app op ia e secu i y measu es o pe sonal da a
p o ec ion. By ans o ming sensi i e paymen da a in o non-sensi i e okens, o ganiza ions implemen a s uc u al
secu i y con ol ha subs an i ely educes isk exposu e e en in he e en o a sys em comp omise. This app oach
demons a es he implemen a ion o echnical measu es app op ia e o he p ocessing isks, as equi ed unde LGPD's
secu i y p o isions [7].
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532
Da a p o ec ion impac assessmen s (DPIAs) unde LGPD bene i om okeniza ion implemen a ions by demons a ing
p oac i e isk educ ion h ough echnical con ols. These assessmen s, equi ed o high- isk p ocessing ac i i ies,
mus e alua e po en ial impac s on da a subjec s and iden i y mi iga ion measu es. Tokeniza ion p o ides a
documen ed echnical con ol ha subs an i ely educes he isk p o ile o paymen p ocessing ac i i ies, s eng hening
he o ganiza ion's posi ion in egula o y assessmen s [8].
4.3. C oss-ju isdic ional Conside a ions (LGPD, GDPR, PCI DSS)
Paymen p ocesso s ope a ing ac oss mul iple ju isdic ions ace complex compliance challenges a ising om
o e lapping ye dis inc egula o y amewo ks. While LGPD sha es concep ual ounda ions wi h he Eu opean Union's
Gene al Da a P o ec ion Regula ion (GDPR), signi ican di e ences exis in implemen a ion equi emen s, en o cemen
mechanisms, and speci ic p o isions. O ganiza ions mus na iga e hese a ia ions while main aining consis en
secu i y a chi ec u es and p ocessing p ac ices [7].
The Paymen Ca d Indus y Da a Secu i y S anda d (PCI DSS) es ablishes equi emen s speci ically ocused on
ca dholde da a p o ec ion, complemen ing bu no eplacing b oade da a p o ec ion egula ions like LGPD and GDPR.
PCI DSS de ines de ailed secu i y equi emen s o sys ems s o ing, p ocessing, o ansmi ing ca dholde da a, wi h
okeniza ion ecognized as a po en ial scope educ ion s a egy. O ganiza ions mus add ess bo h he echnical secu i y
equi emen s o PCI DSS and he b oade igh s-based amewo k o da a p o ec ion egula ions [8].
C oss-bo de da a ans e s p esen pa icula challenges unde LGPD, which imposes es ic ions simila o bu dis inc
om GDPR p o isions. Paymen p ocesso s ope a ing in e na ional p ocessing ne wo ks mus es ablish app op ia e
ans e mechanisms complian wi h LGPD equi emen s. Tokeniza ion can suppo compliance s a egies by enabling
ce ain p ocessing unc ions o occu using okens a he han ac ual pe sonal da a, po en ially educing c oss-bo de
ans e compliance equi emen s [7].
En o cemen a ia ions ac oss ju isdic ions c ea e s a egic compliance conside a ions o in e na ional paymen
p ocesso s. While egula o y penal ies ep esen one isk dimension, epu a ional impac s and po en ial business
dis up ion om en o cemen ac ions in oduce addi ional isk ac o s. O ganiza ions mus de elop compliance
amewo ks ha add ess he mos s ingen equi emen s ac oss applicable ju isdic ions while main aining ope a ional
e iciency [8].
4.4. Case S udy: Compliance Challenges and Solu ions in B azilian Financial Sec o
The B azilian inancial sec o has encoun e ed dis inc compliance challenges in ha monizing LGPD equi emen s wi h
exis ing inancial egula ions and ope a ional p ac ices. Financial ins i u ions p ocessing paymen da a mus na iga e
o e lapping egula o y amewo ks, including Cen al Bank o B azil equi emen s, inancial sys em egula ions, and
LGPD p o isions. This egula o y complexi y necessi a es s a egic app oaches ha sa is y mul iple compliance
obliga ions simul aneously [7].
Legacy sys em cons ain s p esen pa icula challenges o es ablished inancial ins i u ions, as olde paymen
p ocessing sys ems may lack na i e capabili ies o suppo mode n da a p o ec ion equi emen s. These cons ain s
necessi a e laye ed compliance app oaches, po en ially including okeniza ion as a compensa ing con ol ha educes
exposu e o pe sonal da a wi hin legacy en i onmen s while main aining unc ional capabili ies [8].
Au hen ica ion sys ems wi hin he B azilian inancial sec o ace he challenge o balancing s ong iden i y e i ica ion
wi h da a minimiza ion p inciples. T adi ional au hen ica ion app oaches o en ely on ex ensi e pe sonal da a
collec ion and p ocessing, po en ially con lic ing wi h LGPD minimiza ion equi emen s. Ad anced au hen ica ion
a chi ec u es le e aging okeniza ion and c yp og aphic e i ica ion mechanisms can help esol e his ension by
enabling e i ica ion wi hou excessi e da a p ocessing [7].
Collabo a i e compliance app oaches ha e eme ged wi hin he B azilian inancial ecosys em, wi h ins i u ions sha ing
implemen a ion bes p ac ices and de eloping s anda dized app oaches o common compliance challenges. These
collabo a i e e o s help es ablish ma ke no ms o LGPD implemen a ion wi hin paymen con ex s, educing
compliance unce ain y while p omo ing consis en p o ec ion s anda ds. Indus y wo king g oups and associa ions
play c ucial oles in de eloping hese sha ed compliance amewo ks [8].
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533
5. PIX and Real-Time Paymen Sys ems: Secu i y Implica ions
5.1. PIX A chi ec u e and Secu i y Model O e iew
The PIX ins an paymen sys em ep esen s a signi ican ad ancemen in B azil's paymen in as uc u e, in oducing a
comp ehensi e a chi ec u e designed o acili a e immedia e und ans e s while main aining obus secu i y con ols.
The sys em's co e a chi ec u e comp ises se e al in e connec ed componen s, including a cen alized se lemen
pla o m ope a ed by he Cen al Bank o B azil, pa icipan in e aces o inancial ins i u ions, and end-use channels
h ough which paymen ins uc ions a e ini ia ed. This mul i-laye ed a chi ec u e implemen s a ious secu i y
mechanisms h oughou he ansac ion low, c ea ing de ense-in-dep h p o ec ion o paymen ope a ions [9].
The secu i y model unde pinning PIX inco po a es bo h echnical and go e nance elemen s. A he echnical le el, he
sys em implemen s end- o-end enc yp ion o ansac ion da a, mul i- ac o au hen ica ion equi emen s o
pa icipan s, and c yp og aphic message signing o ensu e da a in eg i y. These echnical con ols a e complemen ed
by go e nance mechanisms including pa icipan ce i ica ion equi emen s, secu i y policy manda es, and con inuous
compliance moni o ing p ocesses. Toge he , hese elemen s es ablish a comp ehensi e secu i y amewo k add essing
h ea s ac oss he ansac ion li ecycle [10].
Au hen ica ion wi hin he PIX ecosys em inco po a es mul iple e i ica ion laye s, wi h equi emen s di e en ia ed
acco ding o ansac ion isk cha ac e is ics. Use egis a ion p ocesses es ablish ounda ional iden i y e i ica ion,
while ansac ion ini ia ion in ol es addi ional au hen ica ion s eps app op ia e o he con ex and alue in ol ed. The
sys em's design balances secu i y equi emen s wi h usabili y conside a ions, implemen ing isk-based app oaches
ha apply s onge con ols we e wa an ed by ansac ion cha ac e is ics [9].
The PIX add essing model, which enables ansac ions o be ini ia ed using simpli ied iden i ie s such as phone numbe s
o email add esses a he han adi ional banking coo dina es, in oduces speci ic secu i y conside a ions. The cen al
add essing di ec o y equi es obus access con ols and e i ica ion p ocesses o p e en unau ho ized egis a ion o
modi ica ion o add essing in o ma ion. These p o ec ions a e c i ical o main aining us in he add essing sys em
while enabling he simpli ied ansac ion ini ia ion ha cha ac e izes PIX ope a ions [10].
5.2. Tokeniza ion Applica ion Wi hin Ins an Paymen Ecosys ems
Tokeniza ion implemen a ions wi hin he PIX ecosys em ex end beyond adi ional paymen ca d scena ios, add essing
he speci ic secu i y equi emen s o ins an paymen ope a ions. The applica ion o okeniza ion p inciples o PIX
ansac ions in ol es subs i u ing sensi i e accoun iden i ie s wi h ansac ion-speci ic e e ences, educing exposu e
o ac ual accoun de ails du ing paymen p ocessing. This app oach limi s he u ili y o in e cep ed da a o po en ial
a acke s while main aining he unc ional capabili ies equi ed o paymen ope a ions [9].
Dynamic ansac ion okens ep esen a pa icula ly ele an okeniza ion app oach wi hin ins an paymen con ex s,
gene a ing unique iden i ie s o indi idual paymen ope a ions a he han main aining pe sis en okens. This model
aligns well wi h he ansac ional na u e o PIX ope a ions, p o iding enhanced secu i y h ough oken uniqueness
while minimizing he complexi y associa ed wi h long- e m oken managemen . Implemen a ion challenges include
ensu ing su icien andomiza ion in oken gene a ion and main aining pe o mance s anda ds despi e he
compu a ional equi emen s o oken c ea ion [10].
The in eg a ion o okeniza ion wi h PIX add essing mechanisms c ea es addi ional secu i y bene i s, po en ially
eplacing pe sis en add essing en ies wi h okenized e e ences ha limi exposu e o ac ual con ac in o ma ion. This
app oach can mi iga e p i acy and secu i y conce ns associa ed wi h he add essing di ec o y while main aining he
use expe ience bene i s o simpli ied add essing. Implemen a ion conside a ions include managing oken- o-add ess
mapping pe sis ence and es ablishing app op ia e li ecycle managemen o add essing okens [9].
Tokeniza ion also suppo s he secu i y o ecu ing paymen scena ios wi hin he PIX ecosys em, enabling scheduled
ansac ions wi hou equi ing s o age o sensi i e paymen c eden ials by hi d-pa y ini ia o s. This capabili y
ex ends he u ili y o PIX beyond immedia e single ansac ions, suppo ing use cases such as subsc ip ion paymen s
and egula ans e s while main aining s ong secu i y con ols. The implemen a ion o ecu ing paymen
okeniza ion equi es ca e ul conside a ion o oken alidi y pe iods, au hen ica ion equi emen s o oken c ea ion,
and moni o ing mechanisms o de ec po en ial oken misuse [10].
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534
5.3. F aud P e en ion Mechanisms in Real-Time Paymen Ne wo ks
The immedia e se lemen cha ac e is ic o PIX and simila eal- ime paymen sys ems c ea es dis inc aud p e en ion
challenges compa ed o adi ional paymen models wi h buil -in p ocessing delays. Wi hou he ansac ion e iew
window a ailable in ca d-based sys ems, eal- ime paymen s equi e p e en i e con ols ha ope a e wi hin he
ansac ion low wi hou in oducing delays ha would comp omise he ins an na u e o he se ice. This equi emen
has d i en inno a ion in aud p e en ion app oaches speci ic o eal- ime paymen en i onmen s [9].
Beha io al analysis sys ems ep esen a key aud p e en ion mechanism wi hin he PIX ecosys em, es ablishing
baseline ansac ion pa e ns o use s and iden i ying anomalous ac i i ies ha may indica e unau ho ized access.
These sys ems e alua e mul iple ac o s including ansac ion iming, ecipien his o y, amoun pa e ns, and de ice
cha ac e is ics o gene a e isk sco es o indi idual ansac ions. The e ec i eness o hese app oaches depends on
bo h he analy ical models employed and he quali y o his o ical da a a ailable o pa e n es ablishmen [10].
T ansac ion limi s wi hin PIX implemen a isk-based app oach o aud p e en ion, wi h di e en ia ed h esholds
acco ding o channel cha ac e is ics, use his o y, and au hen ica ion s eng h. This ie ed model enables app op ia e
secu i y con ols while main aining se ice accessibili y, allowing lowe - isk ansac ions o p oceed wi h minimal
ic ion while applying addi ional e i ica ion o highe - isk scena ios. The dynamic adjus men o hese limi s based on
isk signals and use beha io ep esen s an e ol ing a ea in he sys em's secu i y amewo k [9].
Pa icipan moni o ing equi emen s es ablish esponsibili ies o inancial ins i u ions pa icipa ing in he PIX
ecosys em, including ansac ion su eillance, suspicious ac i i y epo ing, and aud p e en ion capabili y
main enance. These equi emen s ex end he sys em's secu i y pe ime e beyond cen al in as uc u e o encompass
all access poin s, c ea ing de ense-in-dep h p o ec ion agains comp omise a emp s. The e ec i eness o his
dis ibu ed secu i y model depends on consis en implemen a ion ac oss all pa icipan s and app op ia e in o ma ion
sha ing ega ding eme ging h ea s [10].
5.4. Compa a i e Analysis wi h O he Global Ins an Paymen Sys ems
Compa a i e analysis o PIX wi h o he ins an paymen sys ems e eals dis inc app oaches o secu i y a chi ec u e
and isk managemen , e lec ing a ia ions in ma ke cha ac e is ics and egula o y en i onmen s. While sys ems such
as he Eu opean SEPA Ins an C edi T ans e (SCT Ins ) and Singapo e's FAST implemen simila co e unc ionali ies,
hei secu i y models inco po a e di e en emphases in a eas including au hen ica ion equi emen s, aud p e en ion
mechanisms, and pa icipan obliga ions [9].
Au hen ica ion amewo k compa isons highligh a ia ions in bo h echnical equi emen s and implemen a ion
app oaches. While mos ins an paymen sys ems inco po a e mul i- ac o au hen ica ion p inciples, signi ican
di e ences exis in he speci ic ac o s equi ed, implemen a ion lexibili y pe mi ed o pa icipan s, and exemp ion
mechanisms o lowe - isk scena ios. These a ia ions e lec di e en pe spec i es on he app op ia e balance
be ween secu i y s ingency and adop ion acili a ion, wi h implica ions o bo h p o ec ion e ec i eness and use
expe ience [10].
Table 3 Secu i y Fea u es Compa ison in Ins an Paymen Sys ems [9, 10]
Secu i y Fea u e
PIX (B azil)
O he Real-Time Paymen Sys ems
Au hen ica ion
Mul i- ac o wi h isk ie s
Va ying ac o equi emen s
T ansac ion Moni o ing
Dual-laye app oach
Di e en esponsibili y models
F aud De ec ion
Real- ime analysis
Va ious analy ical ime ames
Liabili y F amewo k
De ined esponsibili ies
Di e en alloca ion models
Regula o y O e sigh
Di ec cen al supe ision
Va ying supe iso y app oaches
Di ec o y Secu i y
Cen alized p o ec ion
Di e en implemen a ion models
F aud managemen esponsibili y dis ibu ions di e no ably ac oss ins an paymen sys ems, wi h a ious models
alloca ing obliga ions be ween cen al ope a o s, pa icipa ing ins i u ions, and end use s. These alloca ions in luence
bo h he secu i y con ols implemen ed and he incen i e s uc u es o aud p e en ion in es men . The PIX model
