Top10StrategicTechnology

Trendsfor2026

NavigatinganAI-powered,hyperconnectedworld

Technologyleadersfaceapivotalyearin2026,wheredisruption,innovationandriskareacceleratingatunprecedentedspeed.TheGartnerTop10StrategicTechnologyTrendsfor2026aremorethantechnologyshifts—theyarecatalystsforbusinesstransformation,demandingaC-Levelresponse.

Thisyear’strendsreflecttherealitiesofanAI-powered,hyperconnectedworldwherenosinglecapabilityisenough.

Theyareorganizedintothreethemesthatdefinehowleadingorganizationswillinnovate,competeandprotectvalue:

TheArchitect

TheVanguard

TheSynthesist

Buildsecure,scalableandadaptivedigitalfoundationswithAI-nativedevelopmentplatforms,AIsupercomputingand

confidentialcomputing.

Orchestratediversetechnologies—frommultiagentsystemstodomain-specificlanguagemodelsandphysicalAI—to

unlocknewsourcesofvalue.

Elevatetrust,governanceandsecurity

throughpreemptivecybersecurity,digitalprovenance,AIsecurityplatformsand

geopatriation.

Asyouexplorethesetrends,considerhowtheyalignwithyourorganization’sstrategicambitionsandhowtheycanbeintegratedintoyourplanningtodrivesustainablegrowthandcompetitiveadvantage.

GeneAlvarez

DistinguishedVicePresident,BusinessandTechnologyInsights,Gartner

2

GartnerTopStrategicTechnologyTrendsfor2026

Gartnercarefullyselectedthese10trendsbasedontheirpotentialtodrive

innovation,strengthenresilienceandelevatetrustinanAI-powered,hyperconnectedworld.

Theyrepresentstrategicimperativesthatrequirethoughtfulconsiderationanddecisiveactionfromtechnologyleaders.

●Now

●Near

1–3years

3–5years

1

2

3

TheArchitect

1AI-nativedevelopmentplatforms

2AIsupercomputingplatforms

3Confidentialcomputing

5

4

6

TheSynthesist

4Multiagentsystems

5Domain-specificlanguagemodels

6PhysicalAI

7

10

9

8

TheVanguard

7Preemptivecybersecurity

8Digitalprovenance

9AIsecurityplatforms

10Geopatriation

3

TheArchitect

Buildsecure,scalableand

adaptivedigitalfoundations.

Top10StrategicTechnologyTrendsfor2026

Toaccelerateinnovationandresilience,technologyleadersmustmodernizeplatformsandinfrastructure.TheArchitecttrends

focusoncreatingAI-readyfoundationsthatenablespeed,

securityandscalability—essentialforthrivinginanAI-powered,hyperconnectedworld.

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1

AI-native

development

platforms

Whatisit?

AI-nativedevelopmentplatformsusegenerativeAItocreate

softwarefasterandeasierthaneverbefore.Theseplatformsrangefrom“one-shot”toolsthatgeneratesoftwarefromasingleprompt,through“vibecoding”toolsthatenablesoftwaredevelopment

withoutdeeptechnicalknowledge,toAIagentsorchestratedtogethertocreatesoftware.

Whytrending?

CIOsareenthusiasticaboutfastersoftwaredeliveryand

productivitygains,whileCEOsandCFOsrecognizecost-savingpotential.AI-nativedevelopmentplatformsempower“tinyteams”tobuildmoreapplicationswiththesameresources—enabling,

forexample,fiveteamsoftwotodeliverfiveapplicationsat once.ThistrendhelpsCIOsaddressbacklogsandshiftthe“buildvs.buy”equationtowardbuilding.

Top10StrategicTechnologyTrendsfor2026

What’snext

80%

oforganizationswillevolvelargesoftwareengineeringteamsintosmaller,AI-augmentedteamsby2030.

40%

ofenterpriseapplicationportfolioswillinclude

customapplicationsbuiltusingAI-nativeplatformsby2030(upfrom2%in2025).

Tinyteams

Before

Now

Largerteamswithnumerousemployees

TinyteamsenabledbyAI-nativedevelopmentplatforms

<

Agentsthatbuild

alongsideyourstaff

Tinyteamsdelivermore,faster

Source:Gartner

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1

DeliverresultswithAI-nativedevelopmentplatforms

Actionplantoboostspeed,savecostsandsparkinnovation

Steps

1Establisha

platformteam

2Implementsecurityguardrails

3PilotAI-nativedevelopment

4AdoptanAI-firstmindset

5Upskillandenableteams

ExpectedoutcomeCentralizedoversight

ensuresconsistent

standardsandgovernance.

Reducedriskofinsecureornoncompliantcode.

Quickwinsthat

demonstratevalue

andbuildconfidence.

Accelerateddelivery

andimprovedinnovationcapacity.

Broaderadoptionandeffectivecollaboration.

ActionFormadedicatedteamto

manageAI-nativeplatformsandselectAImodels.

IntegrateAIgovernanceplatformsforcodereviewandcompliancechecks.

Startwithlow-riskprojectstovalidateproductivitygains.

PrioritizeAI-nativetoolsfornewdevelopment

initiatives.

Traindevelopersandbusinesspartnersonpromptengineeringandgovernance.

Keyplayerstosupportimplementationsuccess

CIO

ITpartners

Businesspartners

Partner:DefineAI-firststrategyandgovernanceframework.

Collaborate:Alignplatformcapabilitieswithbusinesspriorities.

Govern:EnsurecomplianceandsecurityguardrailsforAI-nativedevelopment.

Platformengineering:ManageAI-nativetools,integrationsandperformance.

Security:ImplementAIgovernanceforcodereviewandriskmanagement.

Procurement:EvaluateandselectAI-nativeplatformvendorsandservices.

Productowners:ProvidedomainexpertiseandvalidateAI-drivensolutions.

Finance:AlignfundingmodelstosupportAI-nativedevelopmentinitiatives.

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AIsupercomputingplatforms

Whatisit?

AIsupercomputingplatformsdeliverthemassiveprocessingpowerneededtotrainandrunadvancedAImodels.Thesesystemscombinehigh-performancecomputing(HPC),

specializedprocessorsandscalablearchitecturestohandledata-intensiveworkloads.

Whytrending?

DemandforAIsupercomputingissurgingasorganizations

developlarger,morecomplexmodelsthatexceedtraditionalinfrastructurelimits.

Top10StrategicTechnologyTrendsfor2026

What’snext

40%

20+

ofenterpriseswilladopthybridcomputingarchitecturesby

2028(upfrom8%).

vendorswillofferunified

developerplatforms

leveragingsupercomputingenvironmentsby2028.

AIsupercomputingplatform

Usecases(illustrative)

AImodelhub/garden

Third-party,SLMsandTraditionalAItechniques

domain-specificmodelsandtools

AIsupercomputingplatform

Unifiedprogrammingmodel(API)

Bioandcarbon(biologicalsystem

components)

Energyexplorationandclimatesimulations

Polyfunctionalrobots

(edge,IoT,spatial)

Heterogenouscomputingenvironment

Quantumprocessor(quantumkernels)

Sharedmemoryandinterconnecttier

Newmaterialsanddrugdiscovery

(CUDA,NCCL,RoCm,RCCL,QuantumSDKs)

Optimizationandsimulations

GPUaccelerators(paralleltasks)

Neuromorphic(cognitiveops)

Hybridorchestrationlayer

CPUcores(generaltasks)

AIASICs(customlogic)

Foundationmodels

Dynamicscheduler

Resourcemanager

RuntimeAPIs

AIagents

Source:Gartner

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Top10StrategicTechnologyTrendsfor2026

2

DeliverresultswithAIsupercomputingplatforms

Actionplantounlockmassiveprocessingpower

Steps

1Identifyhigh-impactworkloads

2Investinunifiedsoftwarestacks

3Developphased

integrationstrategy

4Streamlinedevelopmentacrossenvironments

5

Planforgovernanceandcompliance

Expectedoutcome

Demonstratevalueandbuildinternalexpertise.

Simplifiedintegrationandflexibleworkloadplacement.

Future-readyinfrastructureandworkforce.

Accelerateddeliveryandreducedfriction.

Reducedriskandimprovedoversight.

Action

Runpilotprojectsusinghybridorchestration.

Adoptopenstandardsacrosstraditionalandemergingsystems.

IntroducenewcomputeparadigmsgraduallyandtrainITstaff.

Encourageteamstoadopthybridplatformsand

composablearchitectures.

Designsecurityand

compliancestrategiesatthesystemlevel.

Keyplayerstosupportimplementationsuccess

CIO

ITpartners

Businesspartners

Defineahybridorchestrationstrategyalignedwithbusinesspriorities.

Ensuregovernanceforworkloadplacement,securityandcompliance.

Partnerwithbusinessleaderstoprioritizehigh-impactworkloads.

Infrastructureandoperations:Integrateemergingacceleratorswithlegacysystems.

Security:Implementgovernanceformultiarchitectureenvironments.

DevOps:Adoptunifiedsoftwarestacksandorchestrationtools.

Product:Identifyusecasesforhybridcomputing(e.g.,simulations,AI-enabledapps).

Finance:Alignfundingforphasedintegrationandsustainabilitygoals.

Operations:PrepareforAI-drivenworkflowsincriticalprocesses.

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Confidentialcomputing

Whatisit?

Confidentialcomputinguseshardware-basedtrustedexecutionenvironments(TEEs)toprotectdatawhileit’sbeingprocessed,preventingunauthorizedaccess—evenfromcloudproviders.

Whytrending?

Stricterprivacylaws,datalocalizationrulesandAIadoptionmakein-useprotectioncritical.Confidentialcomputingenablessecurecloudstrategiesandcomplianceforsensitiveworkloads.

Top10StrategicTechnologyTrendsfor2026

75%

What’snext

ofprocessinginuntrustedinfrastructurewillbesecuredbyconfidentialcomputingby2029.

ControlstolimitCSPdataaccess

Increaseoverhead

Addedcost,complexityandoperationalrestraints

Confidentialcompute

Addedcost,keymanagement

responsibilityandrelatedresiliencerisk

Defaultcontrols

Source:Gartner

Rootoftrustcontroland

theabilitytorevokeaccess

Enhancedkeymanagement

Isolateddataprotectionof

processingdatainuse

Increasecontrol

for

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Top10StrategicTechnologyTrendsfor2026

3

Deliverresultswithconfidentialcomputing

Actionplantoensuresecure,compliantdataprocessingeverywhere

Steps

1Auditsensitiveworkloads

2PilotTEEsforAImodels

3Enablesecure

collaboration

4Establishindependentkeymanagement

5Prepareforintegration

challenges

Expectedoutcome

Identifywherein-useprotectionisneeded.

StrengthenconfidentialityandIPprotection.

Shareinsightswithoutexposingrawdata.

Fullcontroloverdataaccess.

Smoothdeploymentacrossenvironments.

Action

Mapworkloadssubjecttoprivacyorlocalizationrules.

TestTEEswithproprietaryandopen-sourceAImodels.

Useconfidentialforanalyticsand

computingBIprojects.

Implementorganization-ownedcryptographickeysystems.

Planorchestrationacrossmultiplechipsetsand

providers.

Keyplayerstosupportimplementationsuccess

CIO

ITpartners

Businesspartners

Defineaconfidentialcomputingstrategyalignedwithprivacy,complianceandcloudgoals.

Partnerwithlegalandcomplianceteamstomeetdatalocalizationandsovereigntyrequirements.

OverseegovernanceforTEEsandensureintegrationwithexistingsecurityframeworks.

Infrastructureandoperations:DeployTEEsacrosshybridandmulticloudenvironments.

Security:Implementattestationprocessesandcryptographickeymanagement.

DevOpsandplatform:Adaptworkloadsforconfidentialcomputingandmonitorperformance.

Compliance:Validateadherencetoregulatorymandatesandauditreadiness.

Finance:Alignfundingforconfidentialcomputingadoptionandriskmitigation.

Dataowners:Identifysensitiveworkloadsforin-useprotectionandprioritizeprojects.

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Top10StrategicTechnologyTrendsfor2026

TheSynthesist

Orchestratediverse

technologiesfornewvalue.

Tounlocknewsourcesofdifferentiation,technologyleaders

mustintegratespecializedmodels,multiagentsystemsand

physicalAIfordomain-specificsolutions.TheSynthesisttrendsfocusonorchestratingdiversetechnologiestocreateadaptive,intelligentecosystemsthatdriveinnovationacrossworkflows,productsandexperiences.

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Multiagentsystems

Whatisit?

Multiagentsystems(MAS)usecollectionsofspecializedAI

agentsthatcollaboratetocompletecomplexworkflows.Each

agenthandlesaspecifictask,improvingefficiencyandscalabilitycomparedtomonolithicAIsolutions.

Whytrending?

Assingle-agentAIstruggleswithmultistepprocesses,MASenablemodularautomationandcross-platformintegration.Wereporta1,445%surgeinMASinquiriesfrom1Q24to2Q25,signalingrapidenterpriseinterest.

Top10StrategicTechnologyTrendsfor2026

What’snext

70%

ofMASwillusenarrowlyspecializedagentsby2027,improvingaccuracybutincreasingcoordination

complexity.

60%

ofMASwillsupportmultivendorinteroperabilityby2028,drivinginnovationandflexibility.

Theevolutionofmultiagentsystems

Phase1Phase2Phase3

Singleplatform

Cross-platform

Internetofagents

<>

L_>

<

>

<

>

<

Multipleagentscreatedandhostedinasingleplatform

Multipleagentsindifferent

platformsinteracting

viaprotocols

Aglobalnetworkof

interconnectedagents,

discoveringandinteracting

withoneanother

Source:Gartner

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Top10StrategicTechnologyTrendsfor2026

4

Deliverresultswithmultiagentsystems

Actionplantodrivemodularautomationandseamlessintegration

Steps

1Identifyhigh-valueusecases

2Designmodularagents

3Implementgovernanceandobservability

4Adoptinteroperabilitystandards

5Upskillteams

Expectedoutcome

Measurableimpactandfasteradoption.

Improvedreliabilityandscalability.

Reducedriskandbettercontrol.

Future-proofMASinvestments.

Effectivedeploymentandriskmitigation.

Action

Startwithwell-defined

workflowsforMASpilots.

Buildspecializedagentsinsteadofmonolithic

solutions.

ApplystrongAPIgovernanceandmonitoringtools.

Useemergingprotocolsformultivendoragent

collaboration.

TrainstaffonMAS

frameworksandchangemanagement.

Keyplayerstosupportimplementationsuccess

CIO

Businesspartners

ITpartners

DefineMASstrategyforhigh-valueworkflowsandalignwithbusinesspriorities.

Establishgovernanceforagentinteroperability,securityandcompliance.

Communicatechangemanagementplanstoaddressworkforceconcerns.

PlatformandDevOps:Designmodularagentsandmanageorchestrationtools.

Security:ImplementAPIgovernanceandmonitoragentinteractions.

Integrationteams:Adoptstandardsforinteroperabilityandobservability.

Processowners:IdentifyworkflowsforMASpilotsandvalidateoutcomes.

Finance:Manageunpredictablecostsandfundobservabilitytools.

Operations:Supporthuman-agentcollaborationandtraininginitiatives.

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Domain-specificlanguagemodels

Whatisit?

Domain-specificlanguagemodels(DSLMs)areAImodels

trainedonspecializeddatasetsforspecificindustriesorbusinessfunctions,deliveringhigheraccuracyandcompliancethangenericlargelanguagemodels(LLMs).

Whytrending?

CIOsneedmeasurablebusinessvaluefromAI.DSLMsreduce

errors,acceleratedeploymentandcutcostsforcriticalworkflowslikefinance,healthcareandHR.

Top10StrategicTechnologyTrendsfor2026

30%

What’snext

+60%

GenAIworkloadswillrunDSLMson-premiseson-deviceby2028.

PathstocreatingDSLMs

MLOPs

Development

Pretrain

Fine-tune

Open-source

modelandweights

Closedmodel(andweights)

DataOPs

BroadNarrow

Source:Gartner

ModelOps

Prep

Govern

Monitor

ofenterpriseGenAImodelswillbedomain-specificby2028.

ofor

Deployment

On-device

Proprietaryor

open-sourcemodel

TargetedAdaption

Acrossthird-partyAPI

Self-hostingoptions

On-premises

Datasources

Fine-tune

Model

Cloud

RL

RL

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Top10StrategicTechnologyTrendsfor2026

5

DeliverresultswithDSLMs

Actionplantodeliverprecise,industry-specificcompliance

Steps

1Identifyhigh-impactusecases

2Strengthendata

governance

3PilotDSLMsincriticaldomains

4Buildcross-functionalteams

5Monitorand

optimize

Expectedoutcome

FasterROIandimprovedaccuracy.

ReliableandcompliantDSLMoutputs.

Demonstratemeasurablebusinessvalue.

Smoothintegrationandadoption.

Sustainableperformanceandcostcontrol.

ActionTargetworkflowswhere

genericLLMsunderperform.

Implementrobustprivacyandqualitycontrols.

Startwithfinance,

healthcareorHRprocesses.

IncludeIT,SMEsandcomplianceinDSLMprojects.

Applyexplainabilityandcomplianceframeworks.

Keyplayerstosupportimplementationsuccess

CIO

ITpartners

Businesspartners

DefineDSLMstrategyforregulatedandhigh-valuedomains.

Ensuregovernanceforaccuracy,complianceandexplainability.

Dataandanalytics:Preparedomain-specificdatasetsandmaintainquality.

ModelOps:Managefine-tuning,monitoringandlifecyclegovernance.

Domainexperts:ValidateDSLMoutputsforaccuracyandrelevance.

Finance:BudgetforDSLMadoptionandcostoptimization.

Compliance:Ensureadherencetoregulatorystandards.

AlignDSLMadoptionwithROIandriskmanagement

goals.

Security:EnforceprivacyandcomplianceforDSLMdeployments.

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PhysicalAI

Whatisit?

PhysicalAIbringsintelligenceintotherealworldthroughrobots,drones,vehiclesandsmartdevicesthatsense,decideandact.Thesesystemscombinesensors,actuatorsandAImodelsto

automatephysicaltasks.

Whytrending?

OrganizationswanttheproductivityofdigitalAIappliedtophysicalenvironments.By2028,fiveofthetop10AIvendorswillofferphysicalAIproducts.

Top10StrategicTechnologyTrendsfor2026

80%

What’snext

ofwarehouseswilluseroboticsorautomationby2028.

CategorizationofAI

Demandforecasting

Bio-inspiredrobots/generalrobotics

AI

Recommendationengines

Wearables

Source:Gartner

Autonomousdevices

Industrialrobots

PhysicalAI

DigitalAI

Examples

Examples

Chatbots

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Top10StrategicTechnologyTrendsfor2026

6

DeliverresultswithphysicalAI

Actionplantoautomatereal-worldtasksandboostproductivityeverywhere

Steps

1Auditoperationaldomains

2

PilotphysicalAIsystems

3Buildcross-functionalteams

4Educate

stakeholders

5Planformultiagent

coordination

ExpectedoutcomeIdentifyareasforautomationValidateperformanceEffectivegovernanceandAvoidconfusionandFuture-proofdeployments.

andcostsavings.andROI.integration.misalignedinvestments.

Action

Targetlogistics,maintenanceandworkflows.

safety

Usesimulationand

digitaltwinsbeforelivedeployment.

IncludeIT,operationsandengineeringinplanning.

ClarifydistinctionsbetweenphysicalAI,embeddedAI

andedgeAI.

Exploreorchestrationplatformsforfleetsofdevices.

Keyplayerstosupportimplementationsuccess

CIO

Businesspartners

ITpartners

DefineaphysicalAIstrategyalignedwithoperationalgoals.

Ensuregovernanceforsafety,reliabilityandexplainability.

Partnerwithoperationsandengineeringforintegrationandriskmanagement.

Infrastructureandoperations:IntegratephysicalAIwithIoTandlegacysystems.

Security:Implementsafeguardsforautonomoussystems.

Dataandanalytics:Supportsimulationanddigitaltwintesting.

Operations:Identifyhigh-valueusecasesandvalidateperformance.

Finance:Budgetforroboticsandautomationinvestments.

Compliance:Ensureadherencetosafetyandregulatorystandards.

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Top10StrategicTechnologyTrendsfor2026

TheVanguard

Elevatetrust,governanceandsecurity.

Inaneraofrisingriskandregulatoryscrutiny,trustisnon-negotiable.TheVanguardtrendsemphasizeproactivesecurity,transparent

governanceanddigitalintegrity—enablingorganizationsto

protectreputation,ensurecomplianceandmaintainstakeholderconfidencewhilescalingAIanddigitaltransformation.

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Preemptive

cybersecurity

Whatisit?

Preemptivecybersecurity(PCS)usesadvancedAI-driven

techniquestoanticipate,disruptandneutralizecyberattacksbeforetheyoccur—movingbeyondtraditionaldetection

andresponse.

Whytrending?

AI-poweredthreatsaregrowingexponentially,targetingnetworks,applicationsandIoTsystems.By2029,technologyproducts

lackingpreemptivecybersecuritywilllosemarketrelevanceasproactivedefensebecomesauniversalrequirement.

Needinsightstailoredtotechnologyandserviceprovider

organizations?Readourarticleonpreemptivecybersecurityforvendors,

Don’tDelayinBuildingPreemptiveCybersecurity

Solutions.

Top10StrategicTechnologyTrendsfor2026

What’snext

50%

ofsecuritysoftwarespendingwillgotopreemptivesolutionsby2030.

1M

Documentedvulnerabilitiesexpectedtosurpass1millionannuallyby2030.

The3Dsofpreemptivecybersecurity

▲

Deceive

Automated

movingtarget

defense

Preemptive

exposure

management

Predictive

threat

intelligence

Advanced

cyberdeception

Preemptivecybersecurity

Advanced

obfuscation

Disrupt

Deny

Source:Gartner

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Top10StrategicTechnologyTrendsfor2026

7

Deliverresultswithpreemptivecybersecurity

Actionplantoprotectassetsbeforethreatsemerge

Steps

1Assesscurrentsecurityarchitecture

2PilotPCSinhigh-riskareas

3Definevendor

selectioncriteria

4SocializePCS

strategy

5IntegratePCSwith

existingtools

ExpectedoutcomeIdentifygapsandprioritizeDemonstratemeasurableEnsurefuture-proofPCSBuildexecutiveandMaximizeROIand

PCSinvestments.riskreduction.adoption.board-levelsupport.accelerateadoption.

ActionConductriskanalysisand

readinessreview.

Keyplayerstosupportimplementationsuccess

Implementprevention

predictivethreatanddeception.

Requiredetailedroadmapsforpreemptivecapabilities.

CommunicatebusinessimpactandROIofPCS.

CombinePCSwithcurrentsecurityandcomplianceprocesses.

CIO

ITpartners

Businesspartners

Championashiftfromreactivetopreemptivesecuritystrategies.

DefinebuyingcriteriaforPCScapabilitiesandeducateexecutivepeers.

Overseegovernanceforaggressivedefensemeasuresandcompliance.

Security:Deploypredictivethreatpreventionanddeceptiontechnologies.

Infrastructureandoperations:IntegratePCSwithcloud,OTandcyber-physicalsystems.

Riskandcompliance:Ensureadherencetoprivacyandregulatorystandards.

Finance:AllocatebudgetsforPCSpilotsandlong-termadoption.

Operations:Supportsecuredigitaltransformationinitiatives.

Product:Embedpreemptivesecurityintoofferingsformarketdifferentiation.

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Digital

provenance

Whatisit?

Digitalprovenanceverifiestheoriginandintegrityofsoftware,dataandmedia,usingtoolslikebillsofmaterials(BOMs),

attestationdatabasesandwatermarking.Itensurestransparencyandtrustinsystemsbuiltonthird-partycomponentsand

AI-generatedcontent.

Whytrending?

Organizationsfacerisingrisksfromcodetampering,abandonedopen-sourceprojectsanddeepfake-drivendisinformation.

Top10StrategicTechnologyTrendsfor2026

What’snext

Growingregulatorymandates(e.g.,EUAIAct)

requirewatermarkingandprovenancetrackingforAI-generatedcontent.

Filterbydigitalprovenance

Attestation

database

Billofmaterial

Disinformation

security

Digitalrights

management

Deepfakes

Source:Gartner

>

DatasetsMalware

Paidcontent

>

CodelibrariesModels

Software

packages

Prohibited

content

Configurations

Disqualified

Certificates

Keys

>

>

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Top10StrategicTechnologyTrendsfor2026

8

Deliverresultswithdigitalprovenance

Actionplantobuildtrustbyverifyingdataandcontentauthenticity

Steps

1DeployBOMs

2Implementattestationdatabase

3Adoptdisinformationsecuritytools

4Applydigitalwatermarking

5Strengthengovernance

Expectedoutcome

Enablessoftware

provenance,transparencyandsecurity.

Centralized,trustedprovenancerecords.

Protectionagainst

impersonationandfraud.

CompliancewithAIcontentregulations.

Reducedlegalandreputationalrisk.

ActionImplementsoftwareBOMs

(SBOMs)forsoftwareandmachinelearningBOMs(MLBOMs)forAImodels.

Storecryptographicallysignedevidenceoforigin.

Integratesyntheticidentitydetectionintoidentity

threatdetectionandresponseplans.

MarkAI-generatedmediainmachine-readableformats.

CollaborateacrossIT,complianceandmarketingteams.

Keyplayerstosupportimplementationsuccess

CIO

ITpartners

Businesspartners

Defineadigitalprovenancestrategya