- Dora
- 31st May 2026
- 1 min read
DORA Compliance Software Compared
- Written by
In Short..
- SureCloud is built for continuous resilience. Native Continuous Controls Monitoring, governed AI, and automated audit trails help financial entities meet DORA's ongoing assurance requirements.
- LogicGate prioritises workflow flexibility. Strong no-code customisation, but organisations will typically need additional tooling to achieve continuous controls validation.
- MetricStream and Riskonnect offer broad enterprise coverage. Well suited to large organisations, though implementation timelines can extend from several months to more than a year.
- The critical distinction is continuous testing versus documentation tracking. DORA expects organisations to demonstrate that controls are operating effectively, not simply that evidence and documentation are up to date.
For DORA-regulated firms, the most important evaluation criterion is whether a platform continuously validates control effectiveness or merely tracks compliance artefacts. Evidence freshness supports audits; continuous controls monitoring supports operational resilience. The latter is what regulators increasingly expect to see.
Expert View
Matt Davies Chief Product Officer, SureCloud |
What our experts say about DORA platform fitness
"DORA asks whether controls are working right now. Most audit and evidence platforms were built to prove point-in-time compliance, which is the standard DORA explicitly moved beyond. The test for any platform is whether it can answer the live-control question at any moment, or whether a manual exercise is required to produce the answer."
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Key Facts
- DORA came into force 17 January 2025. National Competent Authorities are actively examining programmes.
- DORA Article 6 requires continuous improvement of ICT risk frameworks — a live obligation, not point-in-time.
- DORA Chapter V extends third-party risk beyond questionnaires: concentration risk, exit strategies, continuous monitoring of critical ICT providers.
- The EU AI Act applies alongside DORA. Ungoverned AI in a compliance platform creates exposure under both instruments simultaneously.
- DORA is proportionate. Micro-enterprises face simplified obligations; systemically important institutions face the full scope including TLPT and direct ESA oversight.
What Separates Genuine DORA Platforms from Audit Management Tools
DORA compliance platforms vary significantly in the depth at which they address the regulation's requirements. Before comparing individual tools, the six criteria below separate platforms built for continuous operational resilience from those built for point-in-time audit preparation.
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Evaluation Criterion |
Why It Matters for DORA |
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Native Continuous Controls Monitoring |
DORA Article 6 requires financial entities to maintain and continuously improve their ICT risk management frameworks. Testing whether controls are actually operating across business process, operational, technical, and policy dimensions is a different capability from checking cloud infrastructure configurations. True continuous controls monitoring covers the full control environment. |
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Governed AI |
In regulated financial services, AI actions affecting compliance decisions must be auditable, traceable, and subject to human approval. With the EU AI Act applying alongside DORA, ungoverned AI in a compliance stack creates regulatory exposure rather than reducing it. The distinction between AI-powered features and governed AI is material. |
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Event-Driven Architecture |
DORA's incident reporting requirements (Articles 17-23) demand precise, time-stamped records of what happened, when, and what actions were taken. An event-driven architecture creates this audit trail automatically. Platforms without it require manual documentation of actions that should be captured by default. |
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Third-Party Risk Management Depth |
DORA's ICT third-party risk requirements (Chapter V) go beyond vendor questionnaires. They require concentration risk analysis, exit strategies, continuous monitoring of critical ICT providers, and maintenance of the Register of Information. Surface-level vendor assessment modules do not meet this standard. |
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Multi-Framework Efficiency |
Financial entities subject to DORA are almost certainly also managing ISO 27001, GDPR, and NIS2. A controls framework that maps once and satisfies multiple regulations eliminates duplicated control effort across the compliance programme. |
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Implementation Timeline |
A platform that takes 12-18 months to deploy is a liability under active DORA enforcement. NCAs are examining programmes now. Time-to-value is a regulatory risk factor, not a project management preference. |
Quick Platform Comparison
The table below summarises how the seven platforms perform against the criteria that matter most for DORA compliance. The sections that follow provide detailed analysis of each platform's strengths, limitations, and fit for specific entity types.
|
Platform |
Best For |
DORA Pillars |
CCM |
Governed AI |
Deploy Time |
Pricing |
|
SureCloud |
Regulated financial entities needing continuous resilience |
All 5 pillars |
Native: business process, technical, and policy |
Yes: Gracie AI Agents (auditable, in-region) |
6-8 weeks |
Enterprise/custom |
|
LogicGate |
Mid-market firms wanting no-code workflow flexibility |
Configurable |
Not native |
Limited |
2-4 months |
From €3,000/mo |
|
Riskonnect |
Insurance/financial services enterprise risk |
All 5 (configurable) |
Not native |
Limited |
4-6 months |
From €5,000/mo |
|
MetricStream |
Global banks needing broadest functional coverage |
All 5 (modular) |
Bolted-on |
Emerging |
6-18 months |
$1M+ TCO |
|
Hyperproof |
Compliance teams managing evidence across frameworks |
Partial |
Evidence freshness only |
None |
2-3 months |
From $12,000/yr |
|
Vanta |
Cloud-native tech companies (SOC 2 primary) |
Partial |
Infrastructure checks only |
None |
1-2 months |
From $12,000/yr |
|
Drata |
Multi-framework compliance evidence collection |
Partial |
Infrastructure checks only |
Limited |
1-2 months |
From $15,000/yr |
1. SureCloud
Best for: Regulated financial entities and ICT providers that need to demonstrate continuous operational resilience across DORA's five pillars.
SureCloud is a GRC platform built on an event-driven architecture with native continuous controls monitoring and governed AI. Founded in London in 2006, it brings two decades of practitioner expertise to a platform designed as a system of action: one that drives compliance outcomes rather than recording them.
Most GRC software records what has happened. Platforms built on a system-of-action architecture determine what happens next. For DORA, this distinction is critical: the regulation demands continuous resilience, and the platform architecture must be capable of delivering it.
How SureCloud Addresses DORA's Five Pillars
- ICT Risk Management (Articles 5-16): Integrated enterprise risk management maps ICT risks to controls, owners, and treatment plans within a single platform. Native continuous controls monitoring tests whether controls are actually operating, across the full business process, operational, technical, and policy environment.
- Incident Reporting (Articles 17-23): The event-driven architecture captures every action as a discrete, traceable event with timestamps. When NCAs request incident timelines, the audit trail exists automatically as a byproduct of normal platform operation.
- Digital Operational Resilience Testing (Articles 24-27): Continuous controls monitoring provides ongoing validation that controls are effective. Test results, remediation actions, and re-test evidence are captured within the same system.
- ICT Third-Party Risk Management (Chapter V): SureCloud's native TPRM module manages the full vendor lifecycle: onboarding, risk assessment, continuous monitoring, and exit planning. The Register of Information is maintained within the platform's structured data model.
- Information Sharing (Article 45): Centralised threat and incident data within the platform supports internal information sharing and feeds external sharing arrangements.
Key Differentiators for DORA
- Native Continuous Controls Monitoring: Business process, operational, technical, and policy controls tested continuously. SureCloud clients report a 75% reduction in audit preparation time.
- Governed AI: Every AI action is auditable and traceable. Data stays in your environment (AWS Bedrock, in-region). Gracie AI Agents with Personas and Skills encode your team's DORA expertise into repeatable, governed processes. Clients report 40% faster decision-making.
- Event-Driven Architecture: Verdantix identified this as "perhaps its biggest differentiator." Every user action creates a discrete audit event, providing the defensible evidence trail DORA demands.
- Implementation Speed: The Orchestrate package deploys in 6-8 weeks. Legacy enterprise platforms can take 6-18 months.
- Multi-Framework Efficiency: SureCloud's proprietary Controls Framework maps DORA controls alongside NIS2, GDPR, and ISO 27001, reducing duplicated effort across overlapping obligations.
- Analyst Recognition: Recognised by Verdantix (Green Quadrant GRC Software 2025) and Gartner (Market Guide for Third-Party Risk Management Platforms 2025).
Limitations
- Enterprise/custom pricing may exceed the budget of micro-enterprises under DORA's proportionality principle.
- SureCloud is a full GRC platform. Organisations seeking narrow, single-regulation tooling will find broader capability than they initially need.
- Organisations with limited GRC maturity benefit from onboarding support during initial setup.
2. LogicGate Risk Cloud
Best for: Mid-market financial institutions (€500M-€5B) that want no-code workflow customisation and need to adapt a flexible GRC platform to DORA requirements without rigid pre-built structures.
LogicGate Risk Cloud is built around a no-code workflow builder. Its flexibility is genuine: compliance teams can design DORA-specific processes without developer involvement. For organisations that value configurability over pre-built regulatory content, it delivers.
DORA-Relevant Strengths
The drag-and-drop workflow builder allows teams to construct processes aligned to each DORA pillar. Risk assessment workflows, incident classification trees, and vendor due diligence processes can all be configured to match the organisation's specific DORA interpretation. Integration capabilities connect with existing IT service management tools, which matters for DORA's cross-functional requirements.
Where It Falls Short for DORA
LogicGate's architecture relies on configurable workflow tracking rather than native continuous controls monitoring. Teams can configure workflows to track control status, while independent testing of whether controls are operating effectively requires separate tooling. For financial entities facing NCA examination of their ongoing resilience posture, this creates a documentation-to-action gap.
For regulated financial entities where every AI action requires an audit trail, the gap between LogicGate's configurable workflow approach and a governed AI architecture is material. Organisations evaluating platforms against DORA's ongoing resilience standard find that the inability to expand CCM scope within a single architecture creates a meaningful long-term constraint.
Implementation: 2-4 months. Pricing: from around €3,000 per month for mid-market deployments; enterprise pricing scales significantly.
Limitations
- No native continuous controls monitoring. Workflows track status but do not independently validate control effectiveness.
- Limited AI governance capabilities for regulated environments.
- Flexibility can become complexity: without strong GRC programme design, no-code freedom can create inconsistent processes.
- Less pre-built regulatory content than platforms with dedicated DORA modules.
3. Riskonnect
Best for: Large financial institutions, particularly insurance companies, with established enterprise risk management programmes extending existing Riskonnect deployments to cover DORA's operational resilience requirements.
Riskonnect is an enterprise risk management platform with deep roots in insurance and financial services. Its strength lies in connecting operational risk, business continuity, and vendor risk within a single data model. For organisations already invested in the Riskonnect ecosystem, extending to DORA is a natural path.
DORA-Relevant Strengths
Riskonnect's operational risk and business continuity modules map well to DORA's ICT risk management and resilience testing pillars. The vendor risk capabilities support third-party oversight, and the incident management module can be configured for ICT-related incident classification and reporting workflows. The insurance sector focus means Riskonnect understands financial services regulatory requirements.
Where It Falls Short for DORA
Riskonnect's architecture is built on Salesforce, which introduces platform dependency and limits architectural flexibility. Implementation timelines run 4-6 months, acceptable for organisations already on the platform but problematic for those starting fresh under active DORA enforcement.
Native continuous controls monitoring and governed AI capabilities are outside Riskonnect's current architecture. Its system-of-record design captures resilience data effectively; continuous validation of whether controls are actually operating requires supplemental tooling.
Implementation: 4-6 months for new deployments; faster for existing customers adding DORA-specific configuration. Pricing: enterprise contracts from around €5,000 per month, with significant professional services investment.
Limitations
- Salesforce dependency creates platform lock-in and architectural constraints.
- No native continuous controls monitoring.
- No governed AI capabilities.
- 4-6 month implementation under active DORA enforcement is a risk factor.
- Professional services costs can significantly exceed licence fees.
4. MetricStream
Best for: Global banks (above €50B assets) and systemically important financial institutions that require the broadest possible GRC functional coverage and have the budget, timeline, and internal resources to implement a legacy enterprise platform.
MetricStream offers the widest functional coverage of any platform in this comparison. Its modular architecture spans compliance, risk, audit, policy, third-party governance, business continuity, and more. For the largest financial institutions with complex, multi-jurisdictional DORA obligations, breadth is its primary value.
DORA-Relevant Strengths
MetricStream's modular approach means every DORA pillar can be addressed within the platform: IT risk management, incident management, resilience testing coordination, third-party risk governance, and information sharing. Reporting capabilities serve board-level governance requirements, important given DORA's explicit management body accountability provisions.
Where It Falls Short for DORA
Implementation timelines of 6-18 months and total cost of ownership exceeding $1M make MetricStream inaccessible to most financial entities and dangerously slow for organisations that have not yet operationalised their DORA programme. Continuous controls monitoring, where it exists, is bolted on rather than native to the architecture.
The platform's complexity requires dedicated internal resources for administration and configuration. For stretched GRC teams, this creates ongoing operational overhead that works against DORA's efficiency objectives.
Implementation: 6-18 months, requiring significant professional services engagement and internal programme management. Pricing: $1M+ total cost of ownership; enterprise-only with multi-year contracts.
Limitations
- 6-18 month implementation is a liability under active DORA enforcement.
- $1M+ TCO excludes the majority of DORA-regulated entities.
- Continuous controls monitoring is bolted-on rather than native.
- Requires dedicated internal administration resources.
- Legacy architecture limits agility as DORA's RTS framework evolves.
- AI capabilities are emerging but not governed to the standard regulated industries require.
5. Hyperproof
Best for: Compliance operations teams managing evidence collection and task assignment across multiple frameworks (DORA, ISO 27001, SOC 2) who prioritise cross-framework control mapping over deep risk analytics.
Hyperproof positions itself as a compliance operations platform. Its core strength is managing the evidence lifecycle: collecting, organising, and demonstrating that controls are operating through documented proof. For teams managing evidence requests across multiple frameworks, its cross-framework mapping reduces duplicate work.
DORA-Relevant Strengths
Hyperproof's cross-framework control mapping is useful for DORA. Task management and workflow capabilities help coordinate DORA activities across teams.
Financial entities managing DORA alongside ISO 27001, GDPR, and NIS2 can map a single control to multiple framework requirements, reducing redundant evidence collection across overlapping obligations.
Where It Falls Short for DORA
Hyperproof tracks evidence freshness, confirming whether documentation is current. Continuous controls monitoring addresses a different question: whether the underlying control is actually working right now. Evidence collected last week confirms documentation currency; a working control requires a live, direct test. For DORA's continuous resilience standard, evidence freshness is one component of a broader assurance requirement.
The platform also lacks governed AI, deep risk quantification, and native TPRM capabilities. DORA's third-party risk requirements, covering concentration risk analysis, exit strategies, and the Register of Information, exceed what an evidence management platform can deliver without significant supplementation.
Implementation: 2-3 months. Pricing: from around $12,000 per year, scaling with users and framework count.
Limitations
- Evidence freshness tracking is a different capability from continuous controls monitoring.
- No governed AI capabilities.
- Limited third-party risk management depth for DORA Chapter V requirements.
- Compliance-operations focus means limited enterprise risk management and business continuity capabilities.
- Platform is not designed specifically for regulated financial services.
6. Vanta
Best for: Cloud-native technology companies (ICT providers to financial services) that need to demonstrate SOC 2 and ISO 27001 compliance as a baseline, with DORA as an adjacent requirement rather than the primary regulatory driver.
Vanta is a compliance automation platform built for technology companies. Its strength is automating evidence collection from cloud infrastructure, connecting to AWS, Azure, GCP, GitHub, and similar tools to continuously verify that technical configurations meet framework requirements. For ICT providers serving EU financial institutions and needing to demonstrate their own DORA compliance, Vanta's speed and simplicity are attractive.
DORA-Relevant Strengths
Vanta's automated evidence collection from cloud infrastructure partially addresses DORA's ICT risk management requirements. If your DORA obligations are primarily technical, covering infrastructure security, access controls, and encryption, Vanta captures this evidence automatically. Fast implementation (1-2 months) means quick time-to-value.
Where It Falls Short for DORA
Checking whether firewall rules allow unauthorised traffic is infrastructure compliance. Continuously verifying whether your change management process actually prevents unauthorised changes is controls monitoring. The distinction determines what DORA's NCAs will look for in examination.
Vanta's feature set centres on infrastructure monitoring. Governed AI, enterprise third-party risk management, business continuity, and incident reporting workflow capabilities fall outside its current scope. For financial entities rather than ICT providers, this leaves the majority of DORA's five-pillar scope unaddressed.
Implementation: 1-2 months. Pricing: from around $12,000 per year, scaling with integrations and framework count.
Limitations
- Infrastructure monitoring is a distinct capability from enterprise continuous controls monitoring.
- No governed AI.
- Limited TPRM: vendor questionnaires rather than concentration risk analysis or exit planning.
- No business continuity or operational resilience testing capabilities.
- US-centric platform with limited EU regulatory focus.
- Security-first platform design means governance, risk, and compliance depth is additive rather than core.
7. Drata
Best for: High-growth companies managing multi-framework compliance (DORA, SOC 2, ISO 27001) that need strong automated evidence collection and have invested in a dedicated DORA compliance programme alongside an existing security compliance stack.
Drata has built a dedicated DORA product and is clearly investing in financial services regulatory capabilities. The platform maps DORA requirements to a centralised control structure, offers AI-assisted control test explanations, and extends compliance workflows to third-party ICT providers. Of the compliance automation platforms in this comparison, Drata has made the most visible commitment to DORA specifically.
DORA-Relevant Strengths
Drata's DORA-specific positioning includes structured ICT risk controls, vendor governance workflows, and centralised evidence management. AI explains control test issues, useful for teams interpreting complex ICT risk data. The Trust Center feature supports sharing oversight materials with regulators and stakeholders, addressing DORA's transparency requirements.
Where It Falls Short for DORA
Despite the DORA-specific investment, Drata's architecture remains compliance-automation-first. The platform is extending a system built for SOC 2 evidence collection toward enterprise GRC, rather than building from a risk-management foundation. Monitoring capabilities, while expanding, remain infrastructure-level rather than enterprise continuous controls monitoring across business process, operational, and policy controls.
Drata's AI capabilities are not governed to the standard DORA-regulated entities require. In financial services, AI actions affecting compliance decisions need an auditable trail with human approval gates. AI that explains control issues is useful; AI that performs activities with full governance, auditability, and in-region data residency is what regulators expect.
Implementation: 1-2 months for core compliance automation; longer for full DORA programme operationalisation. Pricing: from around $15,000 per year; enterprise pricing for full DORA deployment.
Limitations
- Compliance-automation architecture extended toward GRC, not built from GRC foundations.
- Infrastructure-level monitoring rather than enterprise continuous controls monitoring.
- AI capabilities not governed to financial services regulatory standards.
- Third-party risk management expanding but lacks concentration risk analysis depth.
- Incident reporting workflows lack event-driven architecture for automatic audit trails.
Choosing the Right DORA Compliance Platform
The right platform depends on your organisation type, regulatory complexity, and GRC maturity. The decision frameworks below reflect the most common entity profiles.
- Regulated financial entity (bank, insurer, investment firm): SureCloud provides native continuous controls monitoring, governed AI, and event-driven architecture that creates defensible audit trails automatically. The 6-8 week deployment means you are operational before your next NCA interaction.
- Mid-market financial institution wanting workflow flexibility: LogicGate's no-code builder lets you design DORA processes to match your interpretation of the regulation. Plan to supplement with separate tooling for continuous controls monitoring and deep third-party risk management.
- Global bank with $1M+ GRC budget and 12+ months to deploy: MetricStream or Riskonnect offer the broadest functional coverage. Consider the regulatory risk of spending 12-18 months implementing a platform while NCAs are examining your programme now.
- ICT provider to financial services demonstrating your own DORA compliance: Vanta or Drata provide fast compliance automation for the technical controls dimension. Supplement with a dedicated TPRM and incident management approach for the governance dimensions DORA also requires.
- Managing DORA alongside 3+ other frameworks: Hyperproof's cross-framework mapping reduces duplicate evidence collection. Understand that evidence freshness is a different capability from continuous controls effectiveness, and additional tooling will be needed for the resilience validation DORA demands.
- Implementation speed is your primary constraint: SureCloud (6-8 weeks) and Vanta/Drata (1-2 months) offer the fastest paths. The distinction: SureCloud delivers enterprise-grade GRC from day one; Vanta and Drata deliver compliance automation that most financial entities will outgrow as their DORA programme matures.
Conclusion
DORA requires continuous operational resilience, assessed against real-time control effectiveness rather than annual audit readiness. The regulation asks whether your controls are working right now, whether your third-party oversight is active right now, whether your incident response capability is proven right now.
For regulated financial entities and critical ICT providers, SureCloud's combination of native continuous controls monitoring, governed AI, and event-driven architecture addresses this standard at the architectural level. The difference is between a platform that records compliance status and one that continuously validates it.
Mid-market firms prioritising workflow flexibility should evaluate LogicGate. ICT providers with primarily technical DORA obligations should consider Drata's dedicated DORA capabilities. For organisations where DORA is a board-level priority requiring demonstrable, continuous, auditable resilience, SureCloud's system-of-action architecture is built for exactly that challenge.
Based on publicly available information as of May 2026. Pricing and capabilities are subject to change. Organisations should conduct their own evaluation based on specific regulatory obligations, entity type, and proportionality considerations under DORA.
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FAQ’s
What is the difference between continuous controls monitoring and evidence freshness tracking?
Continuous controls monitoring tests whether underlying controls are actually operating at any given moment. Evidence freshness tracking confirms that documentation associated with a control is current. Both matter for a DORA programme, but they're answering different regulatory questions. Evidence freshness tells you that your policy document was reviewed last month; continuous controls monitoring tells you whether the control the policy describes is working right now.
Can we use our existing GRC platform for DORA by adding a DORA compliance module?
Existing platforms can be configured to address DORA's documentation and workflow requirements. What they can't replicate through configuration alone is native support for continuous controls monitoring and event-driven audit trail creation; these capabilities need to be built into the platform's architecture rather than added as modules. Platforms built for periodic audit cycles can address the documentation layer, while the continuous validation layer requires a different architectural foundation.
How quickly should we operationalise a DORA platform given enforcement is already live?
DORA came into force on 17 January 2025 and NCAs are examining programmes now. Platform selection should account for deployment timeline as a regulatory risk factor. A platform that won't be operational for 12-18 months delays defensible compliance evidence by over a year, extending supervisory exposure through a period when examiners are already active.
Does the EU AI Act create additional requirements for compliance platforms that use AI?
The EU AI Act, which applies alongside DORA for EU financial entities, imposes requirements on AI systems used in regulated processes. AI actions affecting compliance decisions must be auditable, traceable, and appropriately governed. Platforms that use AI assistance within compliance workflows without maintaining auditable records of AI actions create regulatory exposure under both DORA and the EU AI Act. The distinction between AI-powered features and governed AI is material in this context.
What is DORA's proportionality principle and how does it affect platform selection?
DORA applies proportionately based on entity size, risk profile, and systemic importance. Micro-enterprises face simplified obligations, while major financial institutions and critical ICT providers face the full scope of requirements including TLPT and direct ESA oversight. Platform selection should reflect the entity's actual scope of obligation. A platform designed for enterprise DORA programmes may exceed the needs of smaller entities, while a compliance automation tool may be insufficient for institutions facing full regulatory scrutiny.
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