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Cybersecurity Information SecurityTop 10 Best Bank Security Software of 2026
Compare top bank security software options and where they fit, including NICE Actimize, FICO Platform, and Microsoft Sentinel for teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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NICE Actimize is the best pick for bank teams that need configurable fraud and AML case workflows because its integrated alert investigations carry audit-preserving actions from detection through disposition, while Microsoft Sentinel is a strong alternative for SOCs that want incident-driven automation across many telemetry sources thanks to programmable playbooks and integrations.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
NICE Actimize
Integrated alert investigations with case actions that preserve auditability from detection through analyst disposition.
Best for: Fits when banks need configurable fraud and AML case workflows with strong audit trails and analyst governance.
FICO Platform
Editor pickDecision governance links model performance monitoring to auditable changes in production decision configurations.
Best for: Fits when banks need auditable fraud decision automation across channels.
Microsoft Sentinel
Editor pickAutomation and playbooks can execute incident response steps with programmable conditions and external integrations.
Best for: Fits when a bank security operations center needs incident-driven automation across multiple telemetry sources.
Comparison Table
NICE Actimize
vertical specialistFinancial crime software for fraud detection, anti-money laundering, and compliance investigations.
Integrated alert investigations with case actions that preserve auditability from detection through analyst disposition.
NICE Actimize performs transaction and customer-behavior surveillance for fraud, money laundering risk, and account-takeover patterns. It also supports financial- crime case management so analysts can investigate alerts, apply decisions, and feed outcomes back into monitoring logic.
The solution combines configurable rules with model-driven scoring to route suspicious activity into configurable workflows. Administrative controls focus on audit logging, role-based access, and governance around alert handling and case actions.
- +Transaction and entity surveillance designed for financial-crime workflows
- +Case management links alert decisions to repeatable analyst processes
- +Configurable rules and model scoring support different monitoring strategies
- +Audit logging and RBAC support operational governance for investigations
- –Workflow configuration can be heavy for teams without prior financial-crime tooling
- –Advanced tuning depends on data availability and consistent event mapping
- –Integrations often require system-specific adapters and careful mapping
- –Alert-to-case operational design can increase analyst workload if poorly routed
Bank fraud operations teams
Route suspicious payments to case review
Faster alert triage
AML investigation teams
Investigate money laundering risk alerts
Better case consistency
Show 2 more scenarios
Risk governance leaders
Tune detection rules and thresholds
Improved alert quality
Adjust rule logic, scoring behavior, and workflow handling while tracking decisions and analyst feedback.
Security operations managers
Audit and govern analyst actions
Stronger accountability
Use role-based access and audit logging to control who can handle alerts and execute case actions.
Best for: Fits when banks need configurable fraud and AML case workflows with strong audit trails and analyst governance.
FICO Platform
vertical specialistDecisioning software for fraud detection, identity risk, and financial crime management.
Decision governance links model performance monitoring to auditable changes in production decision configurations.
FICO Platform is built around reusable decision services where risk signals and business rules are combined into consistent outputs for applications and operational queues. Integration is centered on provisioning decision endpoints and streaming feature and event inputs from banking channels, then logging decision requests and outcomes for traceability. Model lifecycle controls include monitoring and performance tracking so drift or degradation can be identified against predefined thresholds. Governance centers on who can change configurations, what changed, and how those changes affected decision results in production.
A key tradeoff is that deeper value depends on how well upstream data pipelines supply clean, standardized signals and how frequently event data can be refreshed for low-latency decisions. FICO Platform fits best when fraud investigators and risk teams need automated decisioning that is tightly auditable, and when bank security operations require case workflows tied to consistent scoring behavior.
- +Strong decision orchestration for fraud and risk outcomes
- +Production-ready governance with change history on decisions
- +Monitoring to detect model performance issues in operations
- +Consistent scoring outputs across multiple bank channels
- –Integration depth requires disciplined upstream data engineering
- –Workflow configuration can be complex across many decision paths
- –Low-latency setups need careful tuning of event ingestion
- –Advanced automation depends on skilled configuration rather than UI only
Fraud operations teams
Route payments to review or deny
Faster case handling, fewer false denials
Risk engineering teams
Monitor model drift and retrain triggers
More stable fraud detection rates
Show 2 more scenarios
Bank integration teams
Provision decision APIs for channels
Consistent outcomes across systems
Decision endpoints consume event inputs and return standardized outputs for apps and services.
Compliance and governance
Audit who changed decisions
Traceable decision control evidence
Audit trails connect configuration changes to decision outputs and operational outcomes.
Best for: Fits when banks need auditable fraud decision automation across channels.
Microsoft Sentinel
enterpriseCloud-native SIEM and security analytics software for threat detection and response.
Automation and playbooks can execute incident response steps with programmable conditions and external integrations.
Microsoft Sentinel fits banks that already standardize on Microsoft cloud identities and security tooling, because it aligns incident workflows with other Microsoft security services. It provides analytics rules for correlation, workbooks for investigation views, and a programmable automation layer that can call external systems and internal tooling during incident handling. In practice, the strongest value comes from connecting multiple telemetry sources, then using automation to route alerts into consistent investigation and containment steps.
A key tradeoff is that high-quality detections and low-noise investigations depend on deliberate workspace configuration and tuning of data ingestion and analytic content. Sentinel works best when a bank security operations center already has defined incident response runbooks and can map them into automation steps and role-based access workflows. Without that governance, automation can execute the right playbook logic on the wrong signal volume, which increases analyst load.
- +Incident automation ties detections to orchestrated response workflows
- +Wide log ingestion covers Microsoft and many third-party security sources
- +Analytics rules and enrichment support investigation-ready correlations
- +RBAC and audit visibility for operational governance
- –Alert noise increases when ingestion scope and rules are not tuned
- –Advanced playbooks require disciplined change control and testing
Security operations center analysts
Automated triage and containment workflows
Reduced time to investigate
Cloud security engineering teams
Centralized logging for bank workloads
Fewer disconnected alert streams
Show 1 more scenario
GRC and risk operations
Governed automation for investigations
More consistent operational evidence
Apply access controls and review audit trails tied to incident actions and playbook executions.
Best for: Fits when a bank security operations center needs incident-driven automation across multiple telemetry sources.
IBM Security QRadar
enterpriseSecurity information and event management software for threat detection and investigation.
Offense management ties correlated events into persistent investigation objects with drill-down navigation and lifecycle handling.
IBM Security QRadar is built for security operations around high-volume log and flow ingestion, with correlation and custom rules driving incident triage. It integrates normalized event storage with dashboards and alert workflows for SIEM-style monitoring across server, network, and application telemetry.
- +Event correlation and offenses turn raw events into investigator-ready alert context
- +High-throughput log and flow search supports investigation at scale
- +Threat intelligence enrichment helps prioritize correlated detections
- +Content customization supports bank-specific detection and compliance reporting workflows
- –Rule and normalization tuning requires ongoing governance discipline
- –Advanced automation depends on integrating external orchestration components
- –Complex deployments can increase admin overhead across data sources
- –Deep coverage of niche banking controls often needs custom content engineering
Bank security operations
Correlate alerts across log sources
More actionable alerts
Threat detection engineers
Manage custom rules and offense context
Cleaner investigation flow
Show 2 more scenarios
Bank SOC analysts
Search normalized event data quickly
Shorter time to triage
Use scalable search and dashboards over normalized event storage to investigate related activity tied to detections.
Financial crime responders
Enrich detections with threat intel
Higher signal quality
Connect threat intelligence feeds to detections so suspicious activity can be reviewed with external context.
Best for: Fits when banking SOC teams need scalable correlation, offense workflows, and custom detection logic.
OneSpan
vertical specialistDigital banking security software for authentication, transaction signing, and identity verification.
Transaction context binding in authentication challenges helps stop attackers who reuse credentials without the right session intent.
OneSpan’s bank security approach is built around authentication and verification workflows used before and during high-risk transactions. The product family supports interactive authentication with transaction context, plus identity verification flows used for onboarding and account recovery. Fraud prevention features often rely on behavioral signals and device and user risk inputs to drive step-up challenges. Automation comes through integration points that let teams route events into existing security operations processes.
- +Transaction-aware authentication policies reduce replay and session risk
- +Behavioral and biometric signals support adaptive step-up decisions
- +Enrollment and verification workflows align with onboarding and recovery
- +Integration events support feeding identity and fraud decisions into operations
- –Deeper endpoint and network visibility requires external security tooling
- –Policy design complexity rises when many channels and journeys share rules
- –Workflow customization can require integration work and testing cycles
- –Evidence collection for investigations depends on how teams wire events
Digital banking security teams
Step-up authentication for risky transfers
Lower payment fraud and ATO losses
Fraud operations analysts
Investigate biometric and device decisions
Faster triage and rule refinement
Show 1 more scenario
Customer onboarding teams
Identity verification for account opening
Lower onboarding fraud rates
Verification workflows reduce synthetic identity acceptance during onboarding.
Best for: Fits when banks need transaction authentication and identity verification across digital channels with strong auditability.
Feedzai
vertical specialistRisk operations software for payment fraud, account protection, and financial crime monitoring.
Adaptive behavioral detection that adjusts scoring and alerts based on evolving payment and channel activity.
Feedzai is a bank security software vendor focused on detecting fraud and suspicious behavior across digital channels and payments. Its core capabilities center on transaction monitoring and payment fraud monitoring that use behavioral signals and adaptive decisioning.
- +Transaction monitoring tailored to payment fraud patterns and behavioral signals
- +Adaptive risk decisioning updates detection logic as behavior shifts
- +Investigation workflows connect alerts to analyst review and case actions
- +Integration options support feeding events into existing banking controls
- –Coverage focus skews toward fraud monitoring rather than broad core banking security
Digital banking fraud analysts
Block or challenge suspicious payments
Fewer payment losses
Digital identity security teams
Detect account takeover behavior
Earlier takeover mitigation
Show 2 more scenarios
Risk operations leaders
Review detection coverage and quality
Lower false positives
Tune risk rules, models, and alert generation workflows while tracking decision outcomes and analyst feedback.
Lending onboarding fraud teams
Screen high-risk applications for review
More cases for review
Assess applications and pre-authorization events using identity, behavioral, and relationship-based risk signals.
Best for: Fits when fraud detection and transaction monitoring are the primary bank security priorities.
BioCatch
vertical specialistBehavioral biometrics software for account takeover and digital banking fraud prevention.
Behavioral biometric modeling turns in-session interaction patterns into real-time risk decisions for account takeover prevention.
BioCatch applies behavioral biometric risk signals to digital channel sessions to support account takeover prevention and payment fraud monitoring. The product collects interaction events like mouse dynamics and device signals to model user behavior and flag anomalous activity during login and transaction flows.
- +Behavioral biometrics detect suspicious sessions beyond credential compromise
- +Case and workflow controls help fraud teams manage investigation outcomes
- +Configurable thresholds support channel-specific tuning for alert rates
- +Integration surface supports feeding risk signals into bank workflows
- –Successful results depend on instrumentation coverage across each digital flow
- –Ongoing tuning is required to maintain detection quality as user populations shift
- –Governance controls can be limited compared with SIEM and SOAR-native tooling
- –Attribution and explainability for risk signals can be harder for frontline analysts
Bank fraud teams
Detect takeover attempts during sessions
Quicker intervention
Identity and authentication teams
Step-up verification during risky logins
Targeted authentication friction
Show 2 more scenarios
Bank scam prevention teams
Identify scam-driven access patterns
Earlier scam detection
Detect interaction patterns that suggest scam-driven access or manipulated customer sessions.
AML and financial crime investigators
Use behavioral evidence in case review
More contextual cases
Provide behavioral evidence and related activity context to support suspicious-activity investigation narratives.
Best for: Fits when banks need behavioral-session risk scoring for digital logins and transactions with workflow routing into fraud ops.
ComplyAdvantage
API-firstFinancial crime data and screening software for AML, sanctions, and transaction monitoring.
Match-ready risk signals built for entity resolution workflows that feed sanctions and AML screening decisions via APIs.
ComplyAdvantage is a financial-crime and compliance data risk platform used by banks to support AML screening and sanctions decisions through standardized, match-ready risk signals. Its core capability centers on entity resolution and name matching workflows that produce watchlist and adverse-media style risk outputs.
- +Entity resolution and screening outputs designed for bank matching workflows
- +API surface supports embedding risk decisions into internal tooling
- +Configurable match and screening parameters for different product and channel risks
- +Audit-friendly screening context helps support investigations and reviews
- –Primarily a compliance screening layer, not a broader security operations workflow
- –Entity matching quality depends on upstream data normalization
- –Case management and alert tuning usually require integration work in bank systems
- –Limited fit for network, endpoint, or application security telemetry use cases
Bank transaction monitoring teams
Monitor transactions and route alerts
Prioritized alerts, structured investigations
Compliance engineering developers
Embed screening via APIs and webhooks
Screening in operational workflows
Show 2 more scenarios
Customer rescreening operations
Rescreen customers as watchlists change
Earlier detection of changed risk
Repeated entity screening helps detect changed risk conditions earlier than one-time checks.
Sanctions and PEP analysts
Screen entities with alias-aware matching
More consistent match identification
Alias- and transliteration-aware matching supports consistent identification of sanctions and PEP candidates.
Best for: Fits when a bank needs consistent entity screening and decision-ready risk signals inside existing investigations.
Featurespace ARIC
vertical specialistAdaptive behavioral analytics for payment fraud and financial crime detection.
Adaptive fraud modeling for transaction streams that targets evolving behavioral patterns across channels.
Featurespace ARIC focuses on AI-first fraud and risk detection for financial transactions with model operations designed for changing fraud patterns. The offering is built around behavioral signals and transaction context to support account takeover and payment fraud monitoring workflows.
- +Behavior-focused detection improves coverage of subtle fraud and takeover patterns
- +Model lifecycle controls support ongoing tuning as fraud strategies shift
- +Outputs scores or decisions that integrate with transaction decisioning pipelines
- +Rules and thresholds can be combined with model signals for policy control
- –Requires disciplined data preparation to keep behavior baselines stable
- –Automation tooling depends on integration design for SOC or case workflows
- –Tuning for new channels can take time compared with simpler rule engines
- –Audit and governance artifacts can lag behind needs in highly regulated programs
Transaction fraud analysts
Detect account takeover in transactions
Earlier fraud detection
Risk model operations teams
Monitor model performance over time
More stable detection
Show 2 more scenarios
Fraud operations leads
Send scored decisions to controls
Consistent enforcement
Connect transaction streams and pass decisions or scores into downstream controls and case handling.
Bank risk governance teams
Adjust rules as fraud changes
Updated fraud coverage
Tune AI-driven detection logic to keep coverage aligned with evolving account takeover and payment fraud behavior.
Best for: Fits when banks need behavioral fraud detection tied to transaction decisioning and continuous model tuning.
Quantexa
vertical specialistContextual intelligence software for AML, fraud, KYC, and customer risk analysis.
Entity resolution on a relationship graph that preserves traceable linkage paths for security and financial crime cases.
Quantexa performs entity resolution and graph-based risk analysis to support financial crime and security investigations. The system links entities across case data, policy inputs, and external sources so analysts can trace relationship paths and attribute risk drivers to specific records.
- +Graph-led entity resolution connects people, accounts, and events for investigations
- +Explainable relationship paths reduce ambiguity in case narratives
- +API integration supports programmatic case and data pipeline connections
- +Policy and rule configuration supports repeatable matching logic
- –Effective results depend on data readiness and reference-quality inputs
- –Advanced workflow automation requires integration work with existing case tools
Fraud investigators
Analyze connected identities and devices
Better relationship visibility
Third-party risk teams
Investigate potential screening matches
More consistent decisions
Show 2 more scenarios
SAR analysts
Document evidence for suspicious activity reporting
Cleaner reporting packages
Organize investigation findings, evidence, and narrative inputs into structured SAR preparation workflows.
AML operations teams
Connect alerts to entity context
Prioritized investigations
Apply transaction monitoring scenarios and rules while linking alerts to entity context for clearer investigation prioritization.
Best for: Fits when banks need governed entity resolution and explainable risk links across security and fraud cases.
Conclusion
After evaluating 10 bank security software, NICE Actimize 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.
How to Choose the Right Bank Security Software
Bank security software aggregates detections, fraud decisioning, and investigation workflows across digital channels, transaction systems, and security telemetry. This buyer’s guide covers FICO Platform, Microsoft Sentinel, Google Chronicle, and the other top options listed for 2026 bank security software evaluation.
The tools reviewed here differ by how they connect upstream data to outcomes through configuration, governance, and automation. FICO Platform is assessed for decision governance links that connect production decision changes to auditable monitoring. Microsoft Sentinel is assessed for incident-driven automation using playbooks across multiple telemetry sources.
Bank Security Software for fraud decisioning, identity and transaction risk, and SOC automation
Bank security software coordinates controls that manage suspicious behavior, decision outcomes, and analyst workflows across banking channels and payment flows. This software category typically spans transaction monitoring, identity and access-driven authentication risk signals, and security operations center automation.
FICO Platform links fraud and risk decision configuration to auditable change history and production performance monitoring for decision automation across channels. Microsoft Sentinel connects detections to orchestrated response steps through programmable playbooks and broad log ingestion across Microsoft and third-party security sources.
Bank security outcomes mapped to governance, automation, and investigable context
Bank security software only becomes operational when detections or decisions carry through to change control, evidence collection, and analyst actions. The most useful platforms tie upstream telemetry to an outcome path that teams can audit and repeat.
Decision configuration governance linked to production performance monitoring
FICO Platform connects decision governance to auditable changes in production decision configurations and links them to ongoing performance monitoring for decision automation across channels.
Incident-driven automation with programmable playbooks and external integrations
Microsoft Sentinel executes incident response steps through playbooks with programmable conditions and broad log ingestion across Microsoft and third-party security sources.
Transaction-aware authentication controls that reduce replay and session misuse
OneSpan binds transaction context in authentication challenges so policies can stop attackers who reuse credentials without the right session intent.
Investigation lifecycle objects that support offense correlation at scale
IBM Security QRadar turns correlated events into persistent offense investigation objects that keep lifecycle handling and drill-down navigation consistent for analysts.
Case actions that preserve auditability from detection through analyst disposition
NICE Actimize integrates alert investigations with case actions so analyst decisions remain traceable from detection through disposition.
Adaptive behavioral risk decisioning that updates with evolving activity patterns
Feedzai and Featurespace ARIC both focus on adaptive behavioral detection for transaction and channel activity, but each product’s modeling approach emphasizes different update and tuning workflows.
Entity resolution and match-ready risk signals for explainable investigations
Quantexa builds relationship graphs with explainable linkage paths, while ComplyAdvantage provides match-ready risk signals designed for embedding into sanctions and AML screening workflows via APIs.
Choose by integration depth, automation surface, and governance control points
Selection works best when the evaluation starts from where the bank needs control. Some tools enforce governance at the decision layer, while others enforce governance at the incident response and case workflow layers.
Select the governance control point: decision configuration versus analyst workflow
If auditable changes to fraud or risk decision configurations must be tied to production performance monitoring, FICO Platform fits the governance pattern. If governance instead centers on investigator-ready offense objects and analyst workflow lifecycle control, IBM Security QRadar better matches how teams operate.
Pick the automation trigger source: incidents, offenses, cases, or authentication challenges
Choose Microsoft Sentinel when incident detection should immediately drive orchestrated response steps through playbooks that execute conditions and external integrations. Choose OneSpan when authentication challenges must use transaction intent so step-up decisions can block session misuse.
Match throughput and search style to investigation behavior
For SOC teams that need scalable event and flow search that keeps drill-down investigation context consistent, IBM Security QRadar supports high-throughput investigation at scale. For banks that prioritize preserving analyst disposition paths from detection through case actions, NICE Actimize maintains auditability across the investigation lifecycle.
Decide whether fraud coverage is fraud-first or cross-cutting across security workflows
If transaction monitoring and behavioral decisioning are the primary priority, Feedzai emphasizes payment fraud patterns and adaptive risk decisioning. If behavioral fraud modeling needs to connect to transaction decisioning and ongoing continuous model tuning, Featurespace ARIC better aligns with that model lifecycle focus.
Evaluate entity linkage explainability versus match-ready screening outputs
If case narratives require relationship graphs with traceable linkage paths for people, accounts, and events, Quantexa provides graph-led entity resolution that keeps explainable paths. If investigations need consistent screening risk signals that can be embedded into existing workflows through an API surface, ComplyAdvantage provides match-ready risk signals for sanctions and AML decisioning.
Validate whether endpoint and network visibility must come from other tools
For OneSpan, deeper endpoint and network visibility depends on external security tooling rather than being the core source of detection context. For QRadar, advanced automation depends on integrating external orchestration components rather than running every action inside the SIEM correlation layer.
Who should buy Bank Security Software for SOC automation and fraud decision control
Banks need this software when security operations teams must translate telemetry into controlled decisions and repeatable investigations. The right tool depends on whether the organization’s bottleneck is decision governance, incident response automation, or fraud and authentication risk coverage.
Banks requiring auditable fraud decision automation across digital channels
FICO Platform supports decision governance with auditable change history and production performance monitoring on decision configurations across channels.
Security operations centers consolidating multi-source telemetry and orchestrating response
Microsoft Sentinel links detections to orchestrated response workflows through programmable playbooks and broad log ingestion coverage.
Digital banking teams that need transaction-aware step-up authentication
OneSpan uses transaction context binding in authentication challenges so adaptive step-up policies can reduce replay and session misuse risk.
SOC teams doing scalable investigation correlation and offense lifecycle management
IBM Security QRadar builds offense investigation objects from correlated events and maintains drill-down navigation and lifecycle handling.
Financial-crime operations teams managing fraud and AML case workflows
NICE Actimize integrates alert investigations with case actions so analyst disposition is preserved with auditability across the workflow.
Common Bank Security Software mistakes that break governance or automation
Bank security programs fail when platform setup and governance discipline do not match the workflow complexity. Many deployments look correct during pilot testing but degrade when alert volume rises or when data engineering does not keep upstream signals stable.
Choosing a decision automation platform without planning the upstream data engineering needed to keep decision inputs consistent
FICO Platform requires disciplined upstream data engineering to support decision orchestration linked to auditable governance and production performance monitoring.
Expanding ingestion scope and detection rules without tuning to control alert noise
Microsoft Sentinel alert noise increases when ingestion scope and rules are not tuned, so governance should include tuning cycles and playbook testing before scaling.
Assuming authentication challenge policies will cover endpoint and network visibility without supporting tooling
OneSpan can stop session misuse through transaction-aware authentication policies, but deeper endpoint and network visibility depends on external security tooling.
Relying on correlation without maintaining normalization tuning and governance for rules
IBM Security QRadar offense workflows depend on ongoing governance discipline for rule and normalization tuning to keep correlated investigation objects accurate.
Treating fraud and behavioral analytics as plug-and-play without data preparation for stable baselines and explainable results
Featurespace ARIC requires disciplined data preparation to keep behavior baselines stable, and Quantexa requires data readiness and reference-quality inputs to produce effective explainable relationship paths.
How We Selected and Ranked These Tools
We evaluated how each bank security software option connects upstream telemetry to outcomes through governance control points, automation surfaces, and investigable context. Features accounted for 40% of the score by measuring decision governance, incident automation, transaction-aware authentication, offense correlation, case action auditability, and entity resolution support.
Ease and value each accounted for 30% by measuring how directly operational teams can configure core workflows without creating governance gaps or tuning bottlenecks. FICO Platform ranked first because its decision governance links auditable changes in production decision configurations to monitoring that supports decision automation across channels.
Frequently Asked Questions About Bank Security Software
How does Microsoft Sentinel connect SIEM detections to bank incident response playbooks for faster containment?
How does Microsoft Defender for Cloud fit into bank security operations compared with Microsoft Sentinel?
Which tool provides decision governance that ties production decision changes to auditable model performance?
When does QRadar’s offense management become more useful than simple alert streams for investigation workflows?
How does NICE Actimize handle analyst workflows after transaction or customer alerts are generated?
Where does Feedzai’s approach to adaptive behavioral detection typically create a tradeoff versus static rules?
How do transaction authentication systems like OneSpan bind challenges to session or transaction context to stop credential replay?
What breaks if BioCatch instrumentation misses required interaction signals during a login flow?
How do Quantexa and ComplyAdvantage differ in integration focus for entity resolution and downstream case creation?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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