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Chapter <br /> Attachments <br /> ` CFE's Impact of • Findings <br /> KEY FINDINGS <br /> OUR STUDY COVERED: <br /> L, I I U� I k�k� �CFFs estimate that <br /> CASES Irani '"�C6UNTRIfS �rganlaaUons LD5E .� �� 5 <br /> � S11d,f]OU <br /> �.y� taf revenue <br /> J wFftRl16 ,rarEaa�tass <br /> each}ear aertcase <br /> Causing tataJ lasses of more than �I <br /> DETECTION <br /> _ ASSET MISAPPRCIPRIATION SCHEMES <br /> aae the mast�amrnun hurt least€astly <br /> �ry"h of frauds were <br /> detected hytips, —� •"% <br /> which is Hearty�x as mom;cases ais More Phan I IisLf <br /> " median lass <br /> ehe next most oamman methed! 46811 Tips Came <br /> tram employees FINAN6 IAL STAiEM ENT FRAUD SCHEMES <br /> are the least oarnmon but meat costly <br /> Source: Occupational Fraud 2022:A Report to the Nations <br /> median loss <br /> Email and web�'hased " <br /> *r r «i,�-� repo�tring 967TH surpassed .�. Wmsthe mast ocmman�sdremre <br /> .�,,, telepha ne hotlines, * m grs*$al��;� <br /> f]kGiAhV17.ATIDMS WITH HOTLINES A TYPICAL FRA1116 CASE <br /> de[ectiraud rnarequickk and have lower lasses n�+ausesa lossaF <br /> Haan organiraCions withaul.hotlines ❑ 38.��� <br /> S2UU,ppp ❑❑❑ helot¢dxb•[hn- <br /> �`�.� � at fraud rases <br /> 1� 19 mrolved the use t� <br /> '��� hCHT}6 o1GRYR �CURRENCY <br /> Metllan loss Amarg dhese rases,c�yptncurie,r¢y,•as mast usmmonlr used la. <br /> � Gura[Yon <br /> I': Making r.! Convectrg <br /> Whin haud inotllnt, Wltl7ou[iraud holltres �� �iiGeryana +r',risarp,ay,aleC <br /> ki[klta:k rra�nems assets <br /> nkY rucres am�'nivlfrid]f17Y'kGrnn,atta W mm <br /> Attachments <br />