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Cybersecurity Information SecurityTop 10 Best Fraud Detection Services of 2026
Compare top Fraud Detection Services providers with a ranked list of best picks from Kroll, Deloitte, and PwC. Explore options now.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Kroll
Kroll global investigations operations that pair investigative evidence with fraud decision support
Built for enterprises needing investigative fraud support and identity risk screening governance.
Deloitte
Editor pickIntegrated fraud risk management covering analytics, investigations, and regulatory-ready reporting
Built for large enterprises needing fraud analytics plus investigation and controls governance support.
PwC
Editor pickForensic evidence management and investigative reporting for complex, multi-stakeholder fraud cases
Built for enterprises needing end-to-end fraud investigations and control remediation programs.
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Comparison Table
This comparison table evaluates fraud detection service providers, including Kroll, Deloitte, PwC, EY, and KPMG, alongside additional firms offering investigations and analytics-led risk detection. It organizes each provider by core fraud services, data and technology capabilities, typical engagement model, and relevant compliance and case-support strengths so readers can compare fit against specific fraud risk and investigation needs.
Kroll
enterprise_vendorProvides investigations and fraud risk services across cyber-enabled fraud, financial crime, and identity-driven schemes for enterprises and financial institutions.
Kroll global investigations operations that pair investigative evidence with fraud decision support
Kroll stands out for combining global investigations expertise with fraud and risk analytics used in complex enterprise environments. The service coverage spans identity verification, transaction and payment risk support, and investigative workflows for dispute and suspected fraud cases. Kroll also brings structured due diligence and monitoring capabilities to help businesses detect risks across customers, vendors, and business partners. Delivery emphasizes case management, evidence handling, and governance that fit regulated fraud operations.
- +Fraud investigations support with evidence handling and case management workflows
- +Identity and onboarding risk capabilities for customer verification programs
- +Enterprise-grade risk and due diligence services for vendor and partner screening
- +Cross-border coverage suited for global fraud patterns and investigations
- –Service engagement complexity can slow response for small, simple use cases
- –Outputs often depend on internal data readiness for best detection performance
- –Analyst-led work may require strong stakeholder coordination for timely decisions
Best for: Enterprises needing investigative fraud support and identity risk screening governance
More related reading
Deloitte
enterprise_vendorDelivers fraud risk management, cyber fraud investigations, and information security advisory that supports detection, response, and control design for fraud scenarios.
Integrated fraud risk management covering analytics, investigations, and regulatory-ready reporting
Deloitte stands out for pairing fraud detection with end-to-end risk, controls, and investigation support across complex enterprise environments. Core capabilities include analytics for transaction monitoring, identity and access risk assessment, and helpdesk-ready case workflows for investigators. The firm also provides forensic accounting, regulatory reporting support, and governance design for fraud risk management programs. Delivery commonly emphasizes scalable control frameworks and model risk management to improve detection reliability over time.
- +Strong fraud risk governance and control design for enterprise programs
- +Advanced transaction monitoring and analytics tailored to business processes
- +Forensic investigation support with evidence handling and reporting workflows
- +Model risk management practices for fraud scoring and detection outputs
- –Implementation effort can be heavy for smaller organizations
- –Analytics buildouts may require sustained data engineering resources
- –Engagement timelines can be long due to multi-stakeholder alignment
Best for: Large enterprises needing fraud analytics plus investigation and controls governance support
PwC
enterprise_vendorCombines forensic investigations with fraud risk and cyber risk services to build detection programs, analyze incidents, and remediate fraud control gaps.
Forensic evidence management and investigative reporting for complex, multi-stakeholder fraud cases
PwC stands out with large-scale fraud investigations and advisory delivered by multidisciplinary professionals across audit, forensics, and risk functions. Core services include anti-fraud strategy, risk assessments, internal investigations, and data-driven forensic analytics. Engagements often cover financial statement fraud, third-party misconduct, AML controls, and allegations requiring evidence management and stakeholder reporting. The firm also supports designing control frameworks, monitoring programs, and remediation plans tied to governance and compliance needs.
- +Strong forensic investigation practice with evidence handling and case management depth
- +Fraud risk assessments that translate into actionable control and monitoring improvements
- +Cross-functional teams link audit insights to analytics-driven fraud detection approaches
- +Experience across financial statement, procurement, and third-party misconduct scenarios
- –Large-firm engagements can feel heavy for smaller, time-limited fraud needs
- –Analytics outcomes depend on data readiness and stakeholder access to systems
- –Delivery timelines may be slower when investigation scope expands rapidly
Best for: Enterprises needing end-to-end fraud investigations and control remediation programs
EY
enterprise_vendorSupports anti-fraud and cyber fraud detection through investigations, forensic analytics, and risk advisory focused on information security and governance.
Case management and investigative analytics integration for end-to-end fraud discovery and response
EY stands out through its large-scale fraud, investigations, and risk advisory delivery backed by cross-industry controls and regulatory experience. Core capabilities include fraud risk assessments, case management and investigative analytics, and building monitoring programs tied to financial crime and misconduct risk. EY also supports governance for controls testing, data and model risk considerations, and remediation planning to close fraud gaps. Engagements commonly combine structured investigation methods with detection strategy, data enrichment, and process improvements for sustained impact.
- +Strong fraud risk assessments aligned to governance and regulatory expectations
- +Investigation support with structured case management and evidence handling rigor
- +Detection program design that ties alerts to controls, workflow, and remediation
- +Cross-industry experience across financial crime, procurement, and misconduct risks
- –Enterprise engagement model can slow timelines for narrowly scoped fraud issues
- –Heavy emphasis on advisory work can reduce hands-on model development depth
- –Requires clean data access for best investigative and monitoring outcomes
Best for: Large enterprises needing fraud detection strategy plus investigation-led remediation planning
KPMG
enterprise_vendorProvides fraud investigation and fraud risk services that integrate cyber and information security considerations into detection and control frameworks.
Evidence-focused investigation support aligned to governance, regulatory expectations, and remediation planning
KPMG stands out for combining fraud analytics with enterprise-grade risk and controls expertise across audit, investigations, and regulatory response. The firm delivers fraud detection services that cover data analytics for anomalies, investigative design, and control testing to reduce reoccurrence. Teams get support for anti-fraud programs, governance, and technology-enabled monitoring built around enterprise data and workflow integration. KPMG also supports remediation planning and evidence-focused reporting for internal and external stakeholders.
- +Integrated fraud analytics with risk and controls consulting
- +Investigation methodology supports evidence collection and defensible findings
- +Regulatory-ready reporting for remediation and governance decisions
- +Cross-domain expertise across financial, operational, and compliance fraud
- –Engagements can be resource-intensive to support enterprise-scale data needs
- –Rapid, ad hoc fraud checks may be slower than specialized boutique firms
- –Outcomes depend heavily on data quality and internal process access
Best for: Enterprise fraud programs needing analytics, investigations, and control remediation
Accenture
enterprise_vendorDelivers managed detection and fraud-focused security consulting that supports monitoring, investigation workflows, and improvement of controls tied to cyber-enabled fraud.
Fraud detection program integration spanning monitoring, case management, and operational change
Accenture stands out with enterprise-scale fraud detection programs that combine analytics, engineering, and operational change management. Its fraud detection services cover transaction monitoring, case management, and investigative analytics with data governance and model risk controls built in. Clients get fraud rule design, machine learning implementation, and integration into existing AML, payments, or insurance workflows. Delivery emphasizes reusable accelerators, industry domain expertise, and measurable tuning for alert quality and investigation throughput.
- +Strong end-to-end delivery across detection, investigation, and remediation workflows
- +Deep AML and payments fraud expertise for complex transaction monitoring
- +Proven integration capability with case management and existing security tooling
- +Robust data governance and model risk controls to support defensible decisions
- –Engagement setup can feel heavy for small fraud teams
- –Alert tuning and optimization require sustained data and analyst participation
- –Advanced ML efforts can increase dependency on data engineering capacity
- –Program scope breadth may slow timelines for narrowly defined use cases
Best for: Large enterprises modernizing fraud detection programs and operations across business units
Booz Allen Hamilton
enterprise_vendorOffers cybersecurity and counter-fraud capabilities for detection and incident response programs tied to adversarial activity and identity or account abuse patterns.
Investigation enablement linking fraud alerts to evidence workflows
Booz Allen Hamilton stands out for marrying government-grade analytics rigor with fraud and risk program delivery across complex operating environments. Fraud detection engagements commonly include transaction monitoring design, identity and entity resolution, and analytics governance for model risk management. The firm also supports investigation enablement by linking alert outputs to case workflows and evidence documentation. Delivery strength shows in end-to-end program work that spans data integration, alert tuning, and operational performance measurement.
- +Strong fraud analytics and model governance support for regulated environments
- +Identity and entity resolution improves matching across fragmented customer records
- +Alert-to-case integration supports investigation workflows and audit-ready evidence
- –Engagements can skew enterprise-heavy and require substantial stakeholder coordination
- –Use-case success depends on data quality and entity resolution coverage
- –Smaller teams may need internal capacity to operationalize detection outputs
Best for: Large regulated organizations building enterprise fraud detection and governance
Mandiant
enterprise_vendorProvides threat intelligence-driven investigations and detection engineering services that support identifying fraud and abuse linked to cyber intrusions.
Mandiant threat intelligence and investigative playbooks for fraud-related attacker attribution
Mandiant stands out with threat-intelligence led fraud investigations that connect attacker behavior to financial loss paths. Its fraud detection capabilities emphasize detection engineering, malware and infrastructure analysis, and investigative support for high-risk transactions. Teams use Mandiant to assess control gaps across identity, device, and network signals, then prioritize remediation to reduce fraud dwell time. The provider also supports incident response activities that help preserve evidence and improve detection coverage after fraud events.
- +Threat intelligence supports faster triage of suspected fraud campaigns
- +Strong investigative methodology links adversary infrastructure to transaction patterns
- +Detection engineering improves coverage across identity and network signals
- +Incident response workflows help preserve evidence during fraud events
- –Primarily outcomes focused, not a turnkey fraud scoring product
- –Deep investigations require mature data access and logging
- –May add overhead for small teams with limited security operations
Best for: Enterprises needing intelligence-led fraud investigations and detection remediation support
FireEye
enterprise_vendorDelivers incident response and threat-led analysis services that help organizations detect and contain cyber activity relevant to fraud and unauthorized access.
Threat-intelligence driven detection that links fraud activity to known adversary campaigns
FireEye stands out with threat-intelligence and security analytics that connect fraud risk to known adversary behavior and malware campaigns. Its core fraud detection capabilities center on monitoring suspicious activity across endpoints, networks, and email to identify indicators that often accompany financial abuse. It supports investigation workflows with alerting, correlation, and evidence collection so teams can validate fraud signals rather than rely on single events. Deployment is typically suited to organizations seeking security-grade visibility for fraud prevention and incident response alignment.
- +Correlates fraud signals with threat intelligence and adversary tactics
- +Strong investigation support with evidence-rich alerts
- +Coverage across email, endpoints, and networks for faster pattern detection
- –Fraud use cases need tuning to reduce high-noise security alerts
- –Best results require mature security operations processes
- –Complex environments may demand more analyst time for triage
Best for: Security-led teams detecting account takeover and transaction fraud patterns
Crowe
enterprise_vendorProvides forensic accounting, fraud investigations, and risk services with an information security lens for detection design and remediation.
Fraud investigations support that aligns evidentiary work with audit-grade documentation
Crowe stands out as a fraud detection and investigations firm backed by audit and advisory expertise across financial crime and risk. The service delivery covers fraud risk assessment, transaction and case analytics, and investigative support designed for claims, disputes, and suspected misconduct. Crowe also supports controls testing and governance reviews to reduce preventable fraud exposure and improve monitoring effectiveness. Engagements typically combine structured methods with evidence handling and stakeholder-ready reporting.
- +Strong fraud risk assessment using audit-style controls testing and documentation
- +Fraud investigations support with evidence handling for disputes and claims
- +Case-focused analytics that connect anomalies to actionable investigation steps
- +Governance and monitoring recommendations tied to measurable control outcomes
- –Analytics depth depends on data availability and investigation scope definition
- –More advisory-led delivery may feel heavier than purely software-based tools
- –Complex multi-stakeholder cases require clear roles to avoid handoff delays
Best for: Organizations needing fraud risk, investigations support, and control remediation guidance
How to Choose the Right Fraud Detection Services
This buyer’s guide covers how fraud detection services providers handle investigations, analytics, governance, and threat-informed detection using Kroll, Deloitte, PwC, EY, KPMG, Accenture, Booz Allen Hamilton, Mandiant, FireEye, and Crowe as concrete examples. The sections below translate provider strengths and limitations into buying criteria for enterprise fraud operations, regulated workflows, and security-led fraud use cases.
What Is Fraud Detection Services?
Fraud detection services combine monitoring, analytics, and investigative workflows to identify suspicious activity, validate fraud signals, and support evidence-backed case outcomes. These services help organizations reduce financial loss from identity-driven schemes, transaction fraud, account takeover patterns, and related misconduct by linking alerts to governance and remediation actions. Kroll and Deloitte show what the category looks like when it covers identity verification risk, transaction and payment risk support, and investigation workflows with reporting rigor. PwC shows what it looks like when fraud investigations and forensic evidence management connect directly to control gap remediation across complex multi-stakeholder cases.
Key Capabilities to Look For
Fraud detection services success depends on how well monitoring output flows into defensible investigation and governance decisions, so capability fit matters more than generic alerting language.
Evidence handling and case management workflows
Strong fraud detection providers should support evidence handling and case management so investigators can validate fraud signals and produce defensible findings. Kroll emphasizes evidence handling and investigative workflows for disputed or suspected fraud cases, while PwC and Crowe add forensic evidence management and audit-grade documentation for claims and allegations.
Fraud risk governance and regulatory-ready reporting
Fraud detection services should produce control-oriented outputs that support governance decisions and regulatory-ready reporting. Deloitte and EY focus on integrated fraud risk management that pairs analytics and investigations with governance and reporting workflows, while KPMG ties evidence-focused investigations to remediation planning aligned with regulatory expectations.
Identity risk, onboarding risk, and entity resolution
Fraud detection should address identity-driven schemes using identity verification risk assessments and, where needed, entity resolution across fragmented records. Kroll and EY cover identity and onboarding risk capabilities for customer verification programs, and Booz Allen Hamilton adds identity and entity resolution to improve matching and alert-to-case evidence quality in regulated environments.
Transaction and payment risk analytics with monitoring integration
Providers should support transaction monitoring and fraud analytics that map to business processes and existing workflows. Deloitte delivers advanced transaction monitoring analytics tied to enterprise processes, and Accenture integrates fraud detection program components across monitoring, case management, and operational change for AML, payments, or insurance workflows.
Threat-intelligence-led detection and detection engineering
Security-led fraud detection teams need threat-intelligence connections that translate adversary behavior into fraud-relevant alerts. Mandiant provides threat intelligence-driven fraud investigations and detection engineering across identity, device, and network signals, and FireEye ties fraud activity indicators to known adversary tactics across email, endpoints, and networks.
Investigation enablement that links alerts to evidence workflows
Investigation enablement should connect alert outputs to evidence documentation and case workflows so triage does not depend on manual stitching. Booz Allen Hamilton focuses on alert-to-case integration with evidence workflows, while Mandiant and FireEye support incident response activities that preserve evidence during fraud-related attacker activity.
How to Choose the Right Fraud Detection Services
Selecting the right provider starts with matching the organization’s fraud surface area, regulatory expectations, and operational readiness to each provider’s delivery strengths.
Match the provider to the fraud motion: investigations, monitoring, or threat-led detection
Organizations that need fraud investigations with evidence handling and dispute support should prioritize Kroll, PwC, and Crowe because they emphasize structured case work, evidence handling, and stakeholder-ready reporting. Organizations that need fraud analytics plus investigation and controls governance should look at Deloitte and EY because they integrate analytics, investigations, and regulatory-ready reporting into a single fraud risk management program. Security-led teams targeting account takeover and suspicious transaction patterns should evaluate Mandiant or FireEye since both connect threat intelligence and adversary behavior to fraud-relevant detection engineering.
Validate governance and control design outcomes, not only detection coverage
Buyers should require that outputs translate into control improvements, evidence-backed remediation, and governance decisions. Deloitte provides model risk management practices that improve fraud scoring reliability over time, and KPMG provides evidence-focused investigation support aligned to remediation planning and governance decisions. EY also builds detection strategy tied to controls and remediation planning to close fraud gaps.
Assess investigation workflow readiness and evidence production requirements
Teams with established investigator processes should still demand clear evidence handling and case workflow rigor from the provider. Kroll’s delivery emphasizes case management, evidence handling, and governance suitable for regulated fraud operations, while PwC and Crowe emphasize forensic evidence management and audit-grade documentation for complex multi-stakeholder fraud cases.
Confirm identity and data matching coverage where fraud relies on identity signals
For onboarding fraud, customer verification failures, and account abuse patterns, buyers should check identity verification risk capabilities and entity resolution depth. Kroll and EY support identity and onboarding risk for customer verification programs, and Booz Allen Hamilton provides identity and entity resolution so alert matching and investigation evidence are consistent across fragmented records.
Choose the delivery model that fits operational capacity for tuning and engineering
Organizations lacking data engineering or analyst capacity should be cautious about programs that require sustained alert tuning and data readiness for optimization. Accenture can integrate monitoring and machine learning into AML, payments, or insurance workflows but expects data governance and ongoing tuning for alert quality, while Mandiant and FireEye depend on mature security operations for best triage and detection engineering coverage. If internal stakeholders and system access are limited, Kroll and PwC can still support investigation and reporting workflows but may require stronger coordination to achieve timely decisions.
Who Needs Fraud Detection Services?
Fraud detection services are best fit when fraud risk spans identity, transactions, cyber-enabled abuse, and investigative governance rather than only isolated alerting.
Enterprises that need investigative fraud support plus identity risk screening governance
Kroll fits this audience because it pairs global investigations operations with fraud decision support and identity and onboarding risk capabilities for customer verification programs. This segment also aligns with governance-heavy fraud operations where evidence handling and structured investigative workflows determine outcomes.
Large enterprises that need fraud analytics plus investigation and controls governance support
Deloitte matches this audience by combining transaction monitoring and analytics with end-to-end fraud risk management, investigations, and regulatory-ready reporting. EY also fits because it integrates case management and investigative analytics with monitoring program design tied to financial crime and misconduct risk.
Enterprises that need end-to-end fraud investigations and control remediation programs
PwC is a strong fit because it combines forensic investigation practice with evidence management and control and monitoring remediation tied to governance needs. KPMG is also suitable when the program requires fraud analytics plus control testing to reduce reoccurrence in enterprise fraud programs.
Security-led teams detecting account takeover and transaction fraud patterns using threat intelligence
FireEye fits security-led detection needs by correlating fraud signals with threat intelligence and covering email, endpoints, and networks for evidence-rich alerts. Mandiant fits when the priority is detection engineering and intelligence-led investigations that link adversary infrastructure to transaction patterns.
Common Mistakes to Avoid
Fraud detection services often fail when buyers select providers for detection coverage only, ignore governance and evidence workflow integration, or under-estimate data access and operational tuning requirements.
Buying fraud detection without evidence handling and case management integration
Systems that generate alerts without robust evidence handling and case workflows slow investigation outcomes and weaken defensibility. Providers like Kroll, PwC, and Crowe explicitly emphasize evidence handling and investigative reporting workflows designed for disputes and suspected misconduct.
Optimizing for analytics without controls governance and remediation outputs
Analytics that do not connect to governance design, model risk management, and remediation planning produce limited impact on reoccurrence. Deloitte and EY deliver integrated fraud risk management that links analytics, investigations, and regulatory-ready reporting to control improvements.
Under-scoping identity and entity resolution for identity-driven fraud
Fraud patterns that rely on fragmented customer records and identity signals need identity and entity resolution rather than only generic transaction monitoring. Booz Allen Hamilton adds identity and entity resolution to improve matching and supports alert-to-case evidence workflows for regulated environments.
Assuming threat-intelligence detection works as a turnkey fraud scoring product
Threat-intelligence-led providers still require data access and security operations maturity for triage and tuning to reduce noise. Mandiant and FireEye focus on threat-intelligence-driven detection engineering and evidence-rich correlation, but fraud use cases need tuning and operational capacity to validate signals.
How We Selected and Ranked These Providers
We evaluated each fraud detection services provider using three sub-dimensions. Capabilities carried 0.40 weight because providers like Kroll, Deloitte, and Accenture show how investigations, identity risk, monitoring integration, and evidence handling combine into operational programs. Ease of use carried 0.30 weight because implementation and workflow usability affect how quickly alerts can become case outcomes, and providers such as EY and PwC reflect that investigation-led delivery still depends on stakeholder coordination and clean data access. Value carried 0.30 weight because buyers need defensible fraud outcomes and governance outputs rather than isolated analytics, and providers like KPMG and Crowe emphasize evidence-focused reporting tied to remediation planning. Kroll separated from lower-ranked providers by pairing global investigations operations with fraud decision support and evidence handling workflows, which directly strengthens the capabilities dimension and improves end-to-end reliability from detection signal through investigation governance.
Frequently Asked Questions About Fraud Detection Services
Which fraud detection providers are strongest for end-to-end investigations with evidence management?
How do Kroll, Deloitte, and EY differ in fraud risk governance and control frameworks?
Which provider best fits transaction and payment monitoring modernization with engineering and model controls?
Which services are best for linking identity risk signals to fraud detection outcomes?
Who supports forensic analytics and financial statement fraud work with regulatory reporting?
Which providers are most aligned with threat-intelligence driven fraud detection and attacker attribution?
What technical integrations and operational workflows do leading providers support for alert handling and case workflows?
Which providers help teams reduce repeat fraud by closing gaps through control testing and remediation?
Which fraud detection service is best for organizations needing security-grade visibility aligned with incident response?
Conclusion
After evaluating 10 cybersecurity information security, Kroll stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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