Cybersecurity services
Assessments, endpoint protection, email security, training, incident readiness, and 24/7 monitoring for managed-service clients.
AI tools touch documents, email, customer data and systems, often unapproved. We map AI use, set rules, assess risks and test applications, with controls you can explain to a board, auditor, regulator or client.
Governance decides which AI you use, for what and under which rules, and checks they are followed; security protects AI tools and their data from misuse and attack. We do both, sized to your organisation and sector. The usual risk is ordinary information escaping through ordinary tools:
Reviews are stronger where decisions affect people; reporting suits boards. Guides: shadow AI, AI use policy.
We test assistants, chat features and agents against the OWASP GenAI Top 10 risks for LLM and agentic applications, using realistic scenarios. It complements our security assessments.
We find AI use with platforms you already have, such as Microsoft Defender for Cloud Apps, a firewall or secure web gateway, and apply controls through them where possible. Tests cover prompt injection, sensitive information disclosure and excessive agency, with scenarios such as a malicious instruction in an uploaded document or a request for another user's data.
We help you choose a framework, run a gap assessment and build what it calls for. Many start with the free NIST AI Risk Management Framework and Generative AI Profile (NIST AI 600-1; govern, map, measure, manage), then adopt ISO/IEC 42001, a certifiable AI management system, when clients or contracts require it. Accredited bodies certify; Promatics does not.
| Rule | What it means for AI |
|---|---|
| NDPA 2023 (enforced by the NDPC) | Right not to be subject to solely automated decisions with significant effects; human intervention and contest where an exception applies; impact assessment before high-risk processing |
| NDPC GAID 2025, in effect since 19 September 2025 | AI deployers document safeguards in their annual compliance audit return; impact assessment mandatory for profiling, significant automated decisions and transfers outside Nigeria (most hosted AI) |
| NITDA National Cloud Technical Guideline, from 1 January 2027 | Data residency for government and regulated-sector workloads; AI providers serving them align AI governance with ISO/IEC 42001 |
| National AI Strategy (Federal Ministry of Communications, Innovation and Digital Economy) | Policy, not law |
| National Digital Economy and E-Governance Bill | Includes AI provisions; before the National Assembly |
| CBN, SEC Nigeria, NAICOM, NCC | Banks and payment service providers, capital markets, insurers and telecoms may add expectations |
Security tooling, software inventories, interviews and a short no-blame staff survey.
Output: AI use inventory.
Policies, data protection, vendor terms and risks of each significant use; AI applications tested.
Output: Risk findings and test results.
Policy, approval process, risk method and register; roles and responsibilities agreed.
Output: Governance documents and register.
Technical controls, priority fixes, and AI scenarios added to incident response.
Output: Controls and remediation report.
Train staff and owners in safe, effective AI use; review register, risks and controls regularly.
Output: Training records, review schedule.
No package prices: estimates in naira from an agreed scope, taxes shown separately.
Bans rarely work. People switch to personal devices and accounts, and you lose visibility. Approving good tools, clear rules about information and blocking only the riskiest services usually reduce risk more.
No AI-specific law is in force. The National Artificial Intelligence Strategy (September 2025) is policy, not law, and a bill with AI provisions is still before the National Assembly. The NDPA, the GAID 2025 and sector regulators already apply (below). Not legal advice.
Hidden instructions in a document, email or web page that make an AI assistant or agent ignore its rules, reveal information or act unintentionally. A main OWASP Top 10 risk for LLM applications, we test for it in every AI application we review.
Yes. The same controls and tests are part of our generative AI development and AI agents work from the start.
Assessments, endpoint protection, email security, training, incident readiness, and 24/7 monitoring for managed-service clients.
Privacy and security practices ready for regulators, clients, auditors and insurers, gaps fixed before anyone asks.
Unapproved AI at work: why staff use it, risks in Nigeria, and control without a ban.
Tell us how AI is used today and who is asking. We will arrange a conversation and outline a review sized to your organisation and sector.