Cybersecurity refers to the set of techniques, tools, and processes designed to protect computer systems, networks, and data from unauthorized access or malicious attacks. This protection concerns both businesses and individuals, as digital threats do not discriminate by size or status.
Risk Related to Service Providers: The Gap Most Audits Underestimate
The majority of discussions on cybersecurity focus on the internal perimeter: firewalls, antivirus, passwords. The ENISA Threat Landscape 2026 report, published on September 22, 2026, highlights a much more critical blind spot: supply chain attacks significantly broaden the attack surface.
Specifically, an external service provider (cloud host, software publisher, IT subcontractor) becomes an entry point to compromise all client organizations. The AMF report on incidents reported in 2025 under the DORA regulation confirms this trend: over 80% of the 33 major incidents reported by French financial entities were related to their service providers, due to unavailability resulting from a cyberattack or accidental incident.
This figure changes how a cybersecurity solution should be evaluated. A company may have a strong internal infrastructure and still experience a complete shutdown because a cloud service provider has been compromised. Therefore, data protection solutions that focus solely on the internal network are structurally incomplete.
For companies looking to assess their exposure to this type of risk, specialists offer tailored audits and management services, such as those presented on https://www.cyberion.fr/ that cover the detection of third-party vulnerabilities.
DORA Regulation and Digital Resilience Requirements
Since January 17, 2025, the European DORA regulation imposes a common framework for managing risks related to information and communication technologies on financial actors. This text is not limited to a list of best practices: it legally structures the response to incidents, resilience testing, and supplier risk management.
What DORA Changes for Solution Selection
Before DORA, a financial sector company could outsource its IT security without a formal obligation to control its provider’s practices. The regulation now requires a mapping of technological dependencies and regular continuity testing.
For individuals, DORA has no direct effect. However, it pushes banks, insurance companies, and wealth management platforms to strengthen their security posture, which indirectly benefits the protection of customer data.
Ransomware in Business: Adapting Detection Rather Than Piling on Tools
Ransomware remains the threat deemed most damaging by organizations. Attacks are becoming more precise and targeting critical systems.
The common reflex is to multiply layers of protection: antivirus, next-generation firewalls, DNS filtering, email gateways. This stacking approach creates two concrete problems:
- The multiplication of alerts causes fatigue among security teams, who end up ignoring relevant signals amid the noise
- Tools from different vendors do not communicate well with each other, creating blind spots in detection
- The management cost skyrockets without a proportional improvement in security posture
A coherent detection architecture is better than five poorly integrated tools. EDR (Endpoint Detection and Response) or XDR (Extended Detection and Response) solutions centralize monitoring of endpoints, networks, and the cloud in a single console. This approach reduces detection time and simplifies incident response.
AI Systems as a New Attack Surface
The ENISA Threat Landscape 2026 report identifies an emerging risk: AI systems integrated into professional environments themselves become targets. Automated assistants, scoring models, or enterprise chatbots process sensitive data and can be manipulated by malicious inputs.
This threat also concerns individuals using consumer tools that incorporate artificial intelligence. A voice assistant or an AI-driven personal finance manager constitutes a potential attack vector if its training data or interfaces are not secured.
Criteria for Evaluating the Security of an AI-Integrated Tool
- Check if the provider publishes its policy on training data management and user query retention
- Ensure that exchanges with the system are end-to-end encrypted, not just in transit
- Verify that the tool allows for the deletion of personal data upon request, in accordance with GDPR
- Require documentation on robustness testing against prompt injections or adversarial inputs
These criteria apply equally to an SME deploying an automated management tool and to an individual entrusting their banking data to an AI-driven application.
Data Protection: What Distinguishes a Strong Posture from Mere Tools
Data protection is not limited to installing software. An effective cybersecurity posture combines technical tools, organizational processes, and ongoing awareness. Companies experiencing major incidents often have powerful tools but suffer from gaps in access management, backup, or employee training.
For an individual, the reasoning is the same on a smaller scale. A robust password manager combined with multi-factor authentication offers more protection than a premium antivirus used with weak passwords across all accounts.
The regulatory trend, driven by DORA and ENISA recommendations, moves towards overall accountability. Every link in the digital chain, from the cloud provider to the personal device, must be evaluated and monitored. Organizations that treat this issue solely as an IT budget item, without integrating it into their governance, expose themselves to the most costly interruptions.
