Cyber Benchmark 2026: Progress slows as complexity rises
Published June 15, 2026
- Cybersecurity
Market maturity and cybersecurity trends
Key insights
- The average maturity level of large organizations has slightly increased to 55.3%. The financial sector remains the leader with an average score of 67.6% driven by regulatory pressure and sustained investments.
- Cybersecurity budgets represent, on average, 6.7% of total IT-budgets. On average, organizations have one cybersecurity expert for every 979 employees.
- Ransomware protection rises to 58% on average, with critical cases among mid-sized companies
- Five key areas show significant progress: governance, risk management, detection (SOC), incident response, and resilience – all driven by AI-related challenges.
- AI security lags behind: 76% have defined rules, but overall maturity sits at just 38%, and detection of attacks on AI systems at only 10%.
- NIS 2 regulation drives compliance investments, but no company is fully compliant yet. Large organizations average 60% maturity.
Among the 17 cybersecurity domains tracked by Wavestone, five show notable progress:
Governance (+2%) has been strengthened under regulatory pressure and increased involvement from executive leadership. Organizations have formalized their structures with clearer roles (CISO functions and their extended teams, including industrial systems and digital products), better integration of cybersecurity into overall strategy, and growing awareness at executive committee level, fueled by strong media exposure. This contributes to faster and more structured decision-making.
Risk management (+2%) is improving thanks to the wider adoption of formalized approaches and more refined risk mappings, enabling better prioritization of actions. Risk treatment is becoming more concrete through structured and monitored action plans, greater adoption of proactive approaches such as bug bounty programs, and better integration of cyber risk into agile development cycles.
Detection (+5%) is driven by stronger SOC capabilities and advanced technologies. Monitoring is improving through SIEM, EDR/XDR, and AI, enabling better identification of weak signals. This evolution is reinforced by enriched detection scenarios leveraging internal logs (e.g., CMDB) and external threat intelligence, improving alert contextualization. Organizations are also structuring risk-based use cases and enhancing the analysis of application logs related to security events.
Incident response (+2%) is progressing significantly thanks to improved 24/7 availability of internal teams, the use of specialized third parties, and the definition, communication, and implementation of structured incident management processes, enabling faster, better coordinated, and more effective responses to major incidents.
Cyber resilience (+3%) has improved significantly in recent years through stronger preparedness measures. Organizations are developing their cyber insurance policies, increasing crisis management exercises, and intensifying restoration testing, thereby improving their ability to ensure business continuity in the face of major incidents. However, this remains a key area of risk within the overall cybersecurity landscape.
Evolving cyber landscape: accelerating integration of AI into governance, risk management, and cyber operations
Alongside these developments, artificial intelligence is emerging as a structuring driver, deeply transforming cybersecurity practices and associated organizational models. This transformation is reflected first in the emergence of new specialized roles, such as AI Risk Management, responsible for designing and maintaining AI-specific risk frameworks and overseeing associated assessments, and AI Compliance Officer, responsible for ensuring alignment with regulations and frameworks (AI Act, NIST AI RMF) and defining system classification based on criticality. These roles are complemented by AI Governance, which structures policies, standards, and decision-making processes related to AI usage, as well as the AI Third-Party Risk Manager, responsible for assessing vendors and managing risks linked to SaaS solutions, APIs, and large language models (LLMs).
At the same time, the rise of AI is reshaping the threat landscape. Attacks are becoming more sophisticated, with the increasing use of automated phishing, highly credible deepfakes, and the emergence of early malware leveraging AI (e.g., PromptFlux, PromptLeak) in propagation or evasion mechanisms. In response to these increased risks, organizations are beginning to transform their defense capabilities. Early successful deployments of AI within SOCs already enable automation of spam and phishing handling, improved alert triage, and enhanced operational efficiency.
The gradual integration of AI into detection tools also enables more advanced behavioral analysis and better modeling of complex, tailored attack scenarios.
While dedicated AI response teams remain limited at this stage, their development is an emerging trend likely to expand, reflecting the need for organizations to build specific capabilities to address these new risks. Overall, AI is acting both as an accelerator of defense capabilities and as a driver of increased threat complexity, requiring continuous adaptation of governance, risk management, and cybersecurity operations.
Artificial intelligence: groundwork established, yet maturity remains limited
Artificial intelligence is now at the core of investments for large organizations. Security teams often have to mobilize urgently to support the securing of these new systems.
Within historically mature areas, such as governance or security validation of projects, companies are generally able to adapt and keep pace with the trend. However, areas that were already lagging behind, such as third-party risk management, as well as more recent and complex topics, such as security testing of AI systems and anticipating new AI-related threats, still show very low levels of maturity.
Our teams have been heavily involved in these topics, allowing us to assess the current level of market maturity across more than 20 large organizations:
- 76% now have a dedicated AI security policy in place
- 62% apply a cybersecurity validation process (go/no-go) for AI use cases
- 57% have established a team responsible for assessing AI project compliance
- 48% have updated their third-party risk assessment methodology to include AI providers
However, when it comes to concrete protection measures, the results remain significantly lower. Only 10% of companies have implemented defense mechanisms against prompt injection attacks or other AI-specific threats.
NIS2 Directive: a key priority with incomplete implementation
The European NIS 2 Directive, currently being transposed or already implemented in several European countries, is pushing organizations to strengthen their cybersecurity. Large organizations reach around 60% maturity with regard to NIS 2 requirements, while the directive will ultimately require full compliance. This relatively low level highlights the scale of efforts still required to achieve full compliance and resilience. This analysis is based on a sample of more than 15 organizations across various sectors, assessed against different local NIS 2 frameworks, either at the global organizational level or across specific perimeters. The main challenge lies in the requirement for a consistent level of security across the entire information system, deviating from current approaches that are often focused on critical perimeters.
The French market has not yet experienced a major acceleration, unlike some other countries where regulatory controls have already begun and where large international groups are further advanced in their compliance journeys. These organizations have gained an advantage due to their presence in countries where NIS 2 has already been implemented.
The level of granularity of requirements varies significantly across countries, making implementation at a European scale more complex. Faced with this heterogeneity, large organizations must strike a balance between meeting local expectations and maintaining overall consistency. They therefore aim to harmonize their cybersecurity frameworks and information systems by defining common standards that are robust enough to cover all subsidiaries while remaining adaptable to national specificities.
A detailed analysis of national implementations of the NIS 2 Directive highlights this heterogeneity. Some countries introduce very specific requirements: France emphasizes the security of administrative systems and the traceability of investigations; Belgium requires detailed inventories of critical suppliers and assets; Hungary imposes advanced requirements around continuity, supervision, and incident management automation; and Italy strengthens expectations around visibility of OT, IoT, and cloud environments, often with tight compliance timelines. Other countries adopt contrasting approaches, ranging from highly detailed and technical frameworks (Estonia, Croatia) to more concise and recommendation-based approaches (Netherlands, Finland). Additional national requirements also emerge, such as mandatory sharing of zero-day vulnerabilities with CSIRTs (Greece, Denmark), strict backup rules (Slovakia), or high availability thresholds for critical systems (Lithuania). This diversity, combined with varying constraints in terms of timelines, documentation, and interactions with regulators, further increases the complexity of compliance and reinforces the need for approaches that are both harmonized and adaptable across Europe.
Key challenges for achieving compliance include:
The directive requires a clear, up-to-date view of digital assets (infrastructure, applications, workstations) to ensure their ongoing security. However, this mapping remains incomplete, especially in hybrid and cloud environments.
NIS 2 mandates rigorous and continuous cybersecurity assessments of providers and partners. Companies need to professionalize these controls, which are still often partial or manual.
Administration requires enhanced protection (dedicated admin accounts, dedicated workstations, dedicated admin networks), especially for directory services, where a breach could have severe consequences. Despite deployments of PAM (Privileged Access Management) solutions, practices remain fragmented.
Methodology
Maturity levels were assessed against international standards (NIST CSF v2.0 and ISO 27001/2) during evaluation missions conducted by Wavestone consultants, primarily through interviews with security leaders from the organizations involved.
The sample, as of May 2026, includes more than 200 organizations (including 100 with revenues exceeding €1 billion), representing nearly 7 million employees. Data from these individual assessments were then consolidated and analyzed by Wavestone’s team of specialists.