During the past decade, there has been a palpable shift in businesses moving their critical applications to the cloud. Gartner projects that 70% of enterprises will leverage industry-specific cloud solutions by 2027, up from under 15% in 2023. This is driven in large part by speed, scale and cost, as organizations can adjust computing resources without incurring prohibitive fixed infrastructure costs. It further empowers businesses to modernize applications while focusing investments on business outcomes.
At the same time, extraordinary dependence on 3rd-party technology infrastructure and supply chains that enterprises do not ultimately control have given rise to increased and often novel cybersecurity risks that potentially compromise the confidentiality, integrity and accessibility of business-critical information. A recent ENISA analysis of 5,000 incidents showed a consistent pattern of cybercriminals exploiting digital supply chains because interconnectedness allows a compromise to have a much larger downstream impact.
While regulation often lags technology adoption, they are catching up, as evidenced by a concerted, coordinated effort to build out an integrated cybersecurity, resilience, and digital-sovereignty architecture, rather than relying on a single cybersecurity regulation.
And the regulatory environment is beginning to catch up. Businesses are increasingly facing demands to objectively and transparently demonstrate cyber resilience. Regulators want faster incident reporting, stronger governance, and more demonstrable accountability.
The EU regulatory framework spans cyber resilience (e.g., NIS2, CRA1: is application software secure throughout its lifecycle) and the proposed Cloud Sovereignty Framework, whose ambition is to ensure control over technology and data, are shifting cybersecurity from a predominantly technical discipline toward an integrated regulatory model based on a secure-by-design foundation.
Businesses tend to equate having cybersecurity policies with readiness for compliance.
While implementing a cybersecurity policy is a key pillar of regulatory compliance, it is not the same as consistently identifying, prioritizing, and remediating vulnerabilities. Rather, the emerging cybersecurity framework is evolving from “Do you have the control?” to “Show me the evidence.”
To illustrate the significance of this distinction, the European Commission's 2026 Cloud Sovereignty Framework evaluates sovereignty across 48 criteria grouped into eight categories, including:
- strategic sovereignty,
- legal and jurisdictional sovereignty,
- data and AI sovereignty,
- operational sovereignty,
- supply chain sovereignty,
- technological sovereignty, and
- security and compliance.
Webinar: 23.09.2026 - Join ABBYY and our partner SVA to learn what BSI C5 means for compliance-sensitive organizations and why assurance across the entire Document AI processing chain matters.
Traditional disaster recovery models are built around technical failures such as data-center outages, cyberattacks, and network failures.
What is becoming more prevalent, however, is the potential impact of geopolitical risks. This distinction fundamentally changes how companies prepare for regulation arising from foreign legal overreach, structural market dominance by non-EU hyperscalers, and operational vulnerabilities from trade disputes. For example, foreign statutes, such as the U.S. CLOUD Act, permit foreign governments to subpoena data stored by domestic providers, even if the physical servers reside within European borders.
In June 2026, the European Commission proposed a broader technological-sovereignty package addressing semiconductors, AI, cloud computing, and open source, as well as a common EU-wide framework for assessing cloud and AI sovereignty. The proposal represents a shift from regulating technology primarily for privacy, safety, and cybersecurity, toward actively reducing Europe's strategic dependence on non-EU technology providers2
Organizations are rapidly sending data into models and AI services that may operate through complex chains of infrastructure: ranging from model providers, APIs, cloud services, vector databases, and third-party data-processing environments.
The pervasive use of AI models and training data introduces a new sovereignty problem. It is no longer sufficient to ask, "Where is our database?" Organizations increasingly need to ask:
- Where is our data processed?
- Which models interact with it?
- Can it be used for training?
- Who controls the model?
- Who controls the infrastructure underneath the model?
AI governance, cybersecurity, cloud governance and digital sovereignty are converging. Treating them as separate governance programs may become increasingly untenable.
The organizations best prepared for the next generation of regulation will not necessarily be those with the largest compliance departments. They will be those capable of producing verifiable evidence of control.
It means that organizations should undertake a comprehensive impact assessment with particular focus on seven dimensions of compliance with the EU’s digital sovereignty framework:
- Regulatory obligation mapping: Determine exactly which cybersecurity, resilience, privacy, AI and sectoral requirements apply;
- Technology dependency mapping: Understand critical cloud, SaaS, AI, infrastructure, open-source, semiconductor and supplier dependencies. (e.g. compliance with BSI C5 for highly regulated industries)
- Cybersecurity lifecycle governance: Connect secure development, vulnerability management, patching, EOL/EOS management and incident response into one auditable lifecycle. (e.g., compliance requirements with CRA)
- Sovereignty assessment: Evaluate jurisdiction, data control, operational independence, portability, cryptographic control, supplier dependencies and technological autonomy—not simply hosting location. (compliance with June 2026 European Technological Sovereignty Package)
- Evidence architecture: Make controls continuously auditable rather than assembling evidence when an auditor or regulator arrives.
- Regulatory-response readiness: Test whether the organization can actually detect, classify, escalate and report an incident or actively exploited vulnerability within required regulatory windows.
- Exit and continuity planning: Determine whether critical workloads can actually move if a provider becomes unavailable, unacceptable, non-compliant or geopolitically problematic.
The organizations that see success with AI build explicit accountability within the realities of modern cloud ecosystems. Meaning they can demonstrate effectively, transparently, and responsibly across their technology stack what happened, why it happened, and that it happened within a framework of trust.
Download the full 2026 ABBYY Who Answers for AI: The Governance Gap report for the complete data, market-by-market breakdowns, and a deeper look at how leading organizations are turning governance into a competitive advantage.
Companies routinely measure technical debt. They should start measuring compliance debt and sovereignty debt.
Compliance debt accumulates when products, processes, and infrastructure are built faster than the organization can demonstrate regulatory compliance.
Sovereignty debt accumulates when organizations become progressively dependent on technologies they cannot independently operate, migrate, replace or control.
Both can remain invisible for years. Until something happens. A regulator asks for evidence. A critical vulnerability appears. A provider changes its architecture. A geopolitical relationship deteriorates. A critical supplier becomes unavailable. An AI provider changes its terms. A regulator challenges a data transfer.
At that moment, yesterday's architectural convenience can become tomorrow's board-level liability.
The most important cybersecurity question for 2027 may therefore not be: "Have we been breached?” It may be: “How much of our ability to operate depends on technology, data, suppliers and jurisdictions that we do not ultimately control—and could we prove to a regulator tomorrow that we understand and manage that risk?”
If management cannot answer that question with evidence, the organization may have a bigger problem than cybersecurity.
Join ABBYY and our partner SVA on September 23rd to learn what BSI C5 means for compliance-sensitive organizations and why assurance across the entire Document AI processing chain matters.
