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SNYKREPORT
SNYKREPORT
AICode,Security,andTrust:
Organizations
MustChange
TheirApproach
56.4%sayinsecureAIsuggestionsare
common—butfewhavechanged
processestoimproveAIsecurity.
processestoimproveAlsecurity.
snyk
snyk
AIcodingassistantshaveachievedwidespreadadoptionamongdevelopersacrossallsectors.
However,manydevelopersplacefartoomuchtrustinthesecurityofcodesuggestionsfrom
generativeAI,despiteclearevidencethatthesesystemsconsistentlymakeinsecure
suggestions.Unfortunately,securitybehaviorsarenotkeepingupwithAIcodeadoption.
TechnologyorganizationsneedtoprotectthemselvesagainstAIcodecompletionrisksby
automatingmoresecurityprocessesandinsertingtherightguardrailstoprotectnotonly
againstbadAIcodebutalsoagainsttheunprovenperceptionthatAI-generatedcodeis
alwayssuperiortonovelhumancode.
alwayssuperiortonovelhumancode.
ExecutiveSummary
ExecutiveSummary
Inashortperiodoftime,AIcodecompletiontoolshavegainedsignificantmarketpenetration.Inour
surveyof537softwareengineeringandsecurityteammembersandleaders,96%ofteamsuseAIcoding
toolsandoverhalfofthoseteamsusethetoolsmostorallofthetime.ItissafetosaythatAIcodingtools
arenowpartofthesoftwaresupplychainatmostorganizations.TheuseofAItoolshaslikelyaccelerated
thepaceofsoftwarecodeproductionandspedupnewcodedeployment.Ontopofthat,AIcodingtools
arepolishedandconvincing.Unfortunately,thispolishandease-of-usehasgeneratedmisplaced
confidenceinAIcodingassistantsandhavecreatedaherdmentalitythatAIcodingissafe.Inreality,AI
codingtoolscontinuetoconsistentlygenerateinsecurecode.Amongrespondents,91.6%saidt
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