Independent Vendor Intelligence
Operational Resilience and Data Protection for Banks, Insurers, and Asset Managers Under DORA and FCA Requirements
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Your financial services data protection platform platform reaches decision-makers actively evaluating solutions.
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Answer these questions to identify which platform approach suits your organisation.
1. What is your primary driver?
Data security → Commvault Cloud | Operational simplicity → Cohesity DataProtect
2. What is your deployment preference?
Maximum control → Self-managed | Minimum overhead → Fully managed SaaS
3. What is your data environment?
Multi-cloud + on-prem → Hybrid platform | Cloud-only → Cloud-native platform
DORA enforcement began January 2025. Financial entities must demonstrate operational resilience including backup and recovery testing. Platforms with automated DORA compliance evidence provide immediate regulatory readiness.
Financial regulators examine data protection capabilities during supervisory assessments. Automated evidence generation mapped to specific regulatory requirements transforms examination preparation from weeks to hours.
Financial services recovery requires pre-restoration threat scanning and data integrity verification. Restoring compromised data creates regulatory liability and operational risk that generic backup platforms do not address.
Trading systems generate data at microsecond speeds with zero tolerance for loss. Continuous data protection for trading infrastructure alongside standard backup for enterprise systems requires a tiered data protection architecture.
In-depth analysis for buyers evaluating financial services data protection platforms.
The Digital Operational Resilience Act (DORA), effective January 2025, fundamentally changes data protection requirements for EU and UK financial services entities. DORA mandates ICT risk management frameworks, major ICT incident reporting within 72 hours, digital operational resilience testing including threat-led penetration testing, and comprehensive third-party ICT risk management. For data protection specifically, DORA requires financial entities to demonstrate that backup and recovery capabilities can withstand severe but plausible disruption scenarios.
The critical shift is from data protection as a technical function to data protection as a regulated operational resilience capability. Financial regulators now expect evidence that organisations have tested recovery procedures against realistic attack scenarios, validated that backup data is recoverable and free from compromise, and demonstrated the ability to resume critical financial services within defined timeframes. Data protection platforms that automate DORA compliance evidence generation and enable non-disruptive resilience testing provide measurable competitive advantage in regulatory examinations.
DORA requires financial entities to conduct advanced testing of ICT tools, systems, and processes at least annually. For systemically important entities, this includes threat-led penetration testing (TLPT) that simulates realistic attack scenarios against production systems. The data protection component of these tests must verify that backup data remains intact, immutable, and recoverable even when attackers have compromised primary infrastructure and are actively attempting to destroy recovery capabilities.
Data protection platforms that enable automated, non-disruptive recovery testing satisfy this DORA requirement without the operational risk of testing against production systems. The ideal capability allows financial institutions to restore critical systems in an isolated environment, validate data integrity and application functionality, and produce documented evidence of successful recovery — all without impacting live financial services. Evaluate each platform's recovery testing automation and evidence generation capabilities as primary DORA compliance criteria.
Buyer's Note: When evaluating financial services data protection platforms, request a proof-of-concept deployment against your actual environment. Vendor demonstrations using sanitised demo data do not reveal how the platform performs with your specific infrastructure, data volumes, and compliance requirements.
DORA requires financial entities to manage ICT third-party risk, including the concentration risk of depending on a single provider for critical ICT services. For data protection, this raises important questions: if your backup platform operates as a SaaS service, what happens if that provider experiences an outage during a recovery event? If backup data is stored in a single cloud provider's infrastructure, does this create concentration risk that DORA requires you to mitigate?
Financial institutions should evaluate data protection vendors' own operational resilience — their redundancy architecture, their recovery capabilities, and their history of service availability. Platforms that offer deployment flexibility — self-hosted, multi-cloud, or hybrid — enable financial institutions to distribute data protection across multiple providers, reducing the concentration risk that DORA specifically targets. Request the vendor's own business continuity documentation and service availability metrics as part of your due diligence.
Financial services faces a unique ransomware recovery challenge: regulatory requirements demand that recovered systems are forensically validated before returning to production. Unlike other sectors where speed of recovery is the primary metric, financial services must balance recovery speed with assurance that restored systems are free from persistent threats, data integrity is maintained, and no unauthorised transactions occurred during the compromise period.
This requires data protection platforms that scan backup data for threat indicators before recovery — identifying ransomware artifacts, backdoors, and indicators of compromise within backup images. Cohesity's DataHawk capability and similar threat assessment features enable forensic validation of backup data before restoration, providing the assurance financial regulators expect. Without pre-recovery scanning, organisations risk restoring compromised data that re-initiates the attack or provides continued attacker access.
GenAI Warning: Organisations deploying GenAI are generating and processing unprecedented data volumes. Ensure your data protection platform can scale to protect AI training data, model artifacts, and the sensitive data that GenAI workloads ingest.
Financial trading systems generate enormous data volumes at microsecond speeds. Traditional backup approaches that introduce latency or require application quiescence are incompatible with trading platforms that cannot tolerate interruption. Data protection for trading environments requires continuous data protection (CDP) or storage-level replication that captures transactions without impacting trade execution performance.
The data protection strategy for trading infrastructure should be tiered: CDP or synchronous replication for active trading systems with zero data loss tolerance, frequent backup for market data repositories and analytics platforms, and standard scheduled backup for back-office and administrative systems. When evaluating platforms for financial services, assess their performance characteristics under trading-grade workloads and their ability to protect heterogeneous environments spanning high-performance trading and standard enterprise infrastructure.
Financial services regulators — the FCA in the UK, ECB in the Eurozone, and SEC in the US — increasingly examine data protection capabilities during supervisory assessments. Examiners expect documented evidence of backup coverage across all critical systems, tested and validated recovery procedures with documented results, demonstrated compliance with retention requirements for financial records, and evidence of third-party risk management for backup service providers.
Data protection platforms that automate regulatory evidence generation — producing dashboards and reports mapped to specific DORA articles, FCA requirements, and PCI DSS controls — transform regulatory examination preparation from weeks of manual evidence gathering into on-demand report generation. For financial institutions undergoing frequent regulatory examinations, this automation capability can reduce compliance operational costs by 40-60% while improving evidence quality and consistency.
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