NIS2 services to resell
Clients are asking for compliance: you can deliver it without having to build an enterprise-grade scanner in-house.
MSPs & System Integrators
White-label, enterprise support, dedicated channel.
Managed Service Providers, system integrators and IT consultancies that want to offer their clients vulnerability assessment, data governance and self-hosted AI without building the platform in house. The partner programme brings it all into one dedicated channel: white-label products with per-client billing, co-delivered assessments and training, and second-level support with direct access to the people who build the product.
Your challenges
AI governance for clients
Clients integrate LLMs, you must protect them without rewriting their stack.
Margins on recurring services
You need recurring offers, not just one-off projects.
Second-level support
When a client reports an issue you need a fast channel to whoever builds the product.
How we can help
Product
Product
Product
Solution
Solution
Solution
Solution
ProductCyberAgent
Multi-tenant, white-label, per-client billing.
ProductDataGovern
GDPR, NIS2 and AI Act compliance to install at your clients' sites, one instance per client.
ProductAdmina Enterprise
Enterprise packages on the Apache 2.0 open framework.
SolutionCybersecurity
Co-delivery of assessments and training for your team.
SolutionArtificial Intelligence
AI governance and AI solutions to resell to your clients.
SolutionCloud & Web Apps
Cloud architectures and web apps to integrate into your offering.
SolutionLinux Services & Systems
Hosting, domains and Linux infrastructure to integrate into your managed services.
Insights
XRP Ledger: payment engine overflow and the role of AI
On 9 October XRPL disclosed an overflow in the xrpld payment engine that could have created spendable XRP beyond the total supply. Reported on 22 September by Cayden Liao and Veria AI, fixed on the 25th with an emergency release without an amendment. RippleX found no evidence of exploitation. What happened and what it means for anyone writing financial software.
Decree 179/2026: AI authorities, fines, work and training
The Italian Official Gazette of 8 October publishes Legislative Decree no. 179 of 7 October 2026 on the powers of the national AI authorities and on training. AgID is the notifying authority, ACN handles market surveillance and is the single point of contact, Banca d'Italia, CONSOB and IVASS cover high-risk systems in their sectors. Penalties up to €35 million or 7% of turnover, a regulatory sandbox, employment decisions reserved to a person. In force from 23 October.
Cyber Resilience Act: Italian decree, ACN and penalties
On 2 October the Italian Council of Ministers gave preliminary approval to the legislative decree adapting national law to Regulation (EU) 2024/2847. ACN is the notifying authority and the market surveillance authority and may rely on the Guardia di finanza; the AI authorities, Banca d'Italia, CONSOB, IVASS and the data protection authority supervise in their own areas. Consumer complaints go to CSIRT Italia, with an SME channel, proportionate fees and a regulatory sandbox, the Sandbox-CRA.
Frequently asked questions
Can I offer NIS2 services to clients without building a scanner in-house?
Yes: CyberAgent is multi-tenant and white-label, with per-client billing, and DataGovern adds GDPR, NIS2 and AI Act compliance to install at your clients' sites, one instance per client. Compliance becomes a service under your brand, without developing the platform in-house.
How does the white-label partner programme work?
The dedicated channel brings together white-label products with per-client billing, co-delivered assessments and training for your team, and second-level support with direct access to the people who build the product. The goal is turning one-off projects into recurring, margin-bearing services.
Can I resell AI governance to clients integrating LLMs?
Yes: Admina is an Apache 2.0 open framework with enterprise packages, alongside AI governance solutions to resell. You protect clients integrating LLMs without rewriting their stack.