regulation

The Due Diligence Blind Spot Every Fintech Acquirer Should Worry About in 2026

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Sergiy Fitsak highlights a critical blind spot in fintech acquisitions centered on insufficient due diligence regarding technology infrastructure and security vulnerabilities. He emphasizes that overlooking these technical risks can lead to operational disruptions, compliance failures, and financial losses post-acquisition. The article urges acquirers to integrate comprehensive technical assessments into their due diligence processes to safeguard long-term value and stability.

https://www.finextra.com/blogposting/32365/the-due-diligence-blind-spot-every-fintech-acquirer-should-worry-about-in-2026

Modernizing Legacy IT with AI Without Triggering Regulatory Risk

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AI can accelerate the modernization of legacy IT systems, especially in regulated sectors with COBOL-based cores, but the main challenge lies in ensuring compliance and traceability to satisfy auditors and regulators. Key risks include undocumented business rules that AI may incorrectly interpret, leading to regulatory violations under frameworks like DORA, NIS2, and AI Regulation. Successful modernization requires thorough asset inventory, human validation of AI outputs, end-to-end traceability, strict data governance, and oversight of AI use to make transformations defensible and sustainable.

https://www.cio.com/article/4193445/modernizing-legacy-it-with-ai-without-increasing-regulatory-risk.html

5 AI Risk Management Frameworks for Shoring up Key Gaps

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A new generation of AI-specific risk management frameworks has emerged to address gaps in traditional governance, security, and compliance models, helping organizations identify AI risks, implement controls, and demonstrate responsible AI use. Five notable frameworks include the ISO/IEC 42001 AI Management System, the NIST AI Risk Management Framework, ENISA’s AI Cybersecurity Practices, ISO/IEC 23894 guidance on AI risk, and Google’s Secure AI Framework (SAIF), each focusing on different aspects like governance, lifecycle risk management, cybersecurity, or operational security. These frameworks are complementary and vary in complexity and focus, with organizations advised to select ones that align best with their AI risk challenges and maturity level.

https://www.csoonline.com/article/4185917/5-ai-risk-management-frameworks-for-shoring-up-key-gaps.html

5 Things CIOs Must Do as Sovereignty Becomes a Design Constraint

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CIOs are adapting to rising geopolitical tensions and data sovereignty requirements by treating geography as a core architectural constraint, shifting from global efficiency to multi-jurisdiction resilience, and classifying workloads based on sovereignty risk. They are designing platforms for workload portability and exit flexibility, while extending sovereignty considerations to data access at the edge and endpoints, reflecting a broader shift from cost-driven to continuous risk management in enterprise technology strategy.

https://www.cio.com/article/4178779/5-things-cios-must-do-as-sovereignty-becomes-a-design-constraint.html

Risk Management Systems Should Be Constantly Evolving, FDA Official Says

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FDA official Keisha Thomas emphasized at the RAPS Quality Conference that medical device risk management systems must be dynamic and continuously evolving to address firm-specific risks across all quality management system (QMS) areas. The FDA's new risk-based inspection program under the Quality Management System Regulation (QMSR) focuses on comprehensive compliance rather than conformity, highlighting common citations related to insufficient integration of risk management into decision-making and a decoupling of corrective and preventive actions. The agency also indicated that firms participating in the Medical Device Single Audit Program (MDSAP) may still face FDA inspections if risk signals warrant additional oversight.

https://www.raps.org/resource/risk-management-systems-should-be-constantly-evolving-fda-official-says.html

The Compliance Trap: Why Security Labels Won’t Save You From the Regulators

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The article critiques the growing regulatory burden in European cybersecurity compliance, highlighting that security certifications and labels, promoted as quality marks by firms like Belgium's Approach Cyber, instead function as costly barriers for small and medium enterprises (SMEs). It argues that overlapping regulations such as GDPR, NIS2, DORA, and the Cyber Resilience Act create complex, expensive compliance demands that favor large vendors and consultants while stifling innovation and agility among smaller businesses. The piece emphasizes that this regulatory complexity undermines digital freedom and does not effectively address underlying security challenges, especially for organizations lacking specialized expertise.

https://www.trinitybugle.com/techscience/the-compliance-trap-why-security-labels-wont-save-you-from-the-regulators.html

What CIOs Should Watch for in Trump’s AI Oversight Order

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President Donald Trump signed an executive order establishing a voluntary federal review process for AI models before public release to assess safety vulnerabilities and national security risks, with departments set to define the standards within 60 days. Tech experts emphasize the importance of clear guidelines and voluntary cooperation to avoid burdensome regulation, while CIOs should monitor how the process might impact AI deployment and whether government actions will follow any identified risks.

https://www.ciodive.com/news/CIOs-trump-ai-oversight-executive-order/821942/

Designing PCI-Compliant Enterprise Networks Beyond the Traditional Perimeter

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The article discusses the evolution of designing PCI-compliant enterprise networks, emphasizing that compliance now extends beyond traditional perimeter controls to include broader network security measures such as identity services, cloud security groups, and remote access platforms. It highlights the importance of accurate scoping, effective segmentation, administrative access controls, continuous logging, time synchronization, cryptographic management, and clear responsibility delineation within and across organizational boundaries to maintain ongoing PCI DSS compliance as a continuous operational discipline rather than a one-time audit task.

https://hackernoon.com/designing-pci-compliant-enterprise-networks-beyond-the-traditional-perimeter

Navigating Compliance and Insurance as a Competitive Edge

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In 2026, compliance with regulations like GDPR and NIS2, alongside stringent cyber insurance requirements, has become a key driver for cybersecurity investments, shifting security from a cost center to a strategic business asset. Partners who deliver solutions aligned with these frameworks, supported by platforms like Symantec CBX for continuous compliance monitoring, help organizations reduce risk, lower insurance premiums, and gain a competitive edge through digital trust and operational resilience.

https://www.security.com/blog-post/resilient-channel-series-part-5

GDPR Fines Hit $1.4B as Customer Support Becomes Compliance Risk

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In 2025, GDPR fines reached $1.4 billion in Europe and $2.8 billion globally, highlighting significant risks in customer support operations due to data handling by outsourced teams. Experts emphasize that compliance depends on strict data access controls, comprehensive audit trails, thorough agent training, and ongoing monitoring to prevent breaches and ensure accountability throughout support workflows.

https://news.designrush.com/gdpr-compliance-customer-support-risks-explained

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