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Home Press Release Accesswire

Trustmi Survey: Employees are Confident They Can Spot Payment Fraud – But AI Says Otherwise

July 15, 2026
in Accesswire, Artificial Intelligence
Reading Time: 8 mins read
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84% of employees expect AI-ge e ated impe so atio to slip past them

NEW YORK, NY / ACCESS Newswi e / July 15, 2026 / A ece t su vey by T ustmi, a leade i behavio al AI payme t secu ity, fou d that while o ga izatio s a e co ti ui g to i vest i t aditio al cybe secu ity t ai i g a d awa e ess, the e is still a sig ifica t gap i the ability of employees who ha dle payme ts a d fi a cial wo kflows to ide tify mode th eats.. AI-d ive f aud is i c easi gly bypassi g t aditio al phishi g tactics altogethe a d i stead exploits t usted wo kplace commu icatio s, c eati g a da ge ous gap betwee what employees thi k they ca ecog ize a d what mode f aud actually looks like.

That gap is ot theo etical. 40% of employees say they o someo e at thei compa y has al eady bee ta geted by a impe so atio attempt, i cludi g 22% who we e ta geted pe so ally.

“People have bee t ai ed to spot the obvious sig s of phishi g, but today’s payme t f aud is desig ed to ble d i to t usted busi ess commu icatio s,” said Shai Gabay, Co-fou de a d CEO, T ustmi. “Whe employees a e ove ly co fide t i thei ability to spot f aud, o ga izatio s a e left exposed to sophisticated AI-powe ed attacks that a e desig ed to appea completely legitimate. To keep pace with evolvi g f aud tactics, o ga izatio s ca ot ely solely o employee vigila ce; They eed p otectio s built i to payme t wo kflows to catch f aud befo e mo ey moves.”

Co fide t, But Looki g fo the W o g Sig als

Fi di gs suggest employee co fide ce is ooted i thei ability to spot t aditio al f aud tactics. A la ge majo ity (78% of espo de ts) said they we e co fide t they could ide tify a f audule t payme t equest at wo k. But, they’ e still looki g fo the t aditio al phishi g tactics – such as typos o fake email add esses – they we e t ai ed to ecog ize yea s ago. 70% a k typos, fo ts o g ammatical e o s as thei No. 1 wa i g sig .

Eve y othe cue t ails well behi d: 25% cite a u familia se de , 22% u usual u ge cy, a d 16% a suspicious i voice. Eve u usual u ge cy – the p essu e tactic commo to executive-impe so atio a d payme t-dive sio scams – a ks ea the bottom. The elia ce o old sig als is sha pest amo g the you gest wo ke s: Ge Z a ks g amma mistakes as a top wa i g sig mo e tha a y othe ge e atio (82%), compa ed with 50% of Baby Boome s.

Employees do se se the shift, eve if thei habits have ‘t caught up: 84% believe that AI-ge e ated voice, video a d message impe so atio will make wo kplace f aud ha de to detect.

T ust Is the New Attack Su face

The sig als employees t ust most a e the o es attacke s ow fo ge, hijack, o take ove . The majo ity (81%) of employees su veyed i dicated that they would likely assume a payme t equest is legitimate if it appea ed i a existi g email th ead (24% we e ve y likely). This poi ts to a pote tial bli d spot: equests that a ive i side familia wo kflows may eceive less sc uti y. Respo de ts say the biggest t ust sig als fo payme t equests i clude:

  • A existi g email th ead (33%)

  • Seei g a executive’s wo k email add ess (30%)

  • Refe e ces to eal compa y p ojects (29%)

Cu e t Defe ses A e ‘t E ough

Employees ecog ize that p otecti g agai st mode f aud equi es mo e tha bette i box defe ses: the majo ity of espo de ts ag ee that email filte s alo e a e ot e ough to stop mode wo kplace f aud (79%).

Employees wa t mo e laye ed co t ols that look beyo d email secu ity towa ds f aud p eve tio that’s di ectly embedded i to wo kplace p ocesses:

  • 52% wa t automated f aud detectio

  • 50% wa t st o ge email secu ity

  • 49% wa t mo e f aud-specific awa e ess t ai i g

  • 35% wa t eal-time payme t wo kflow ale ts

  • 34% wa t bette visibility i to ve do o payme t cha ges

These fi di gs u de sco e that mode payme t f aud is o lo ge just suspicious emails a d blata t phishi g attempts. As AI makes impe so atio mo e co vi ci g, o ga izatio s eed mo e tha employee t ai i g (a d, 61% of espo de ts say thei employe p ovides f aud t ai i g a ely o ot at all). They eed automated safegua ds that ve ify payme t equests befo e mo ey moves.

To view the full su vey fi di gs, visit this li k.

To ead mo e about the fi a ce a d secu ity co t ols ove look, visit T ustmi’s 2026 Payme t Secu ity & Risk Be chma k Repo t

Methodology

“Methodology: This su vey polled 1,000 U.S. employees age 18+ who wo k with payme t- elated wo kflows, i cludi g i voices, ve do commu icatio s, payme t app ovals, a d fi a ce systems, i Ju e 2026. It focused o how they i te act with wo kplace payme t p ocesses a d busi ess commu icatio s.”

About T ustmiT ustmi is the leadi g behavio al AI platfo m fo payme t secu ity, helpi g e te p ises stop f aud a d costly payme t e o s befo e mo ey moves. As f aud i c easi gly a ives “p e-app oved” – desig ed to pass existi g co t ols – T ustmi p ovides a c itical ve ificatio laye ac oss the e ti e payme t lifecycle. By co elati g sig als ac oss email, ve do behavio , fi a cial docume ts, a d payme t wo kflows, T ustmi detects sophisticated, socially e gi ee ed attacks that t aditio al secu ity a d fi a ce co t ols miss. T usted by global e te p ises with complex payme t e vi o me ts, T ustmi p otects ove $240 billio i payme ts a ually a d has helped p eve t mo e tha $1 billio i f aud a d $5 billio i payme t e o s. Fou ded i 2021, T ustmi is headqua te ed i New Yo k City a d backed by leadi g i vesto s i cludi g Cybe sta ts a d I sight Pa t e s. Fo mo e i fo matio , visit https://www.t ustmi.ai/.

Co tact

PAN fo T ustmi[email p otected]

SOURCE: T ustmi

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