Identify Risks. Seize Opportunities. Build Trust.

    Introducing AI, Safe and Smart

    Take advantage of the opportunities offered by artificial intelligence without having to accept security gaps, unclear data origins or regulatory risks with Zayani Infosec AI Portfolio.

    Your Benefits with Zayani Infosec Secure AI Portfolio

    The Path to Responsible AI Usage

    The Zayani Infosec Secure AI Portfolio combines security, data protection, data quality, governance and change management. Together, we lay the foundations for a controlled, efficient and compliant use of artificial intelligence.

    01

    Develop a Targeted AI Strategy

    Get a transparent strategy that minimises uncertainty and makes the use of AI predictable and focused on business.

    02

    Create a Reliable Database

    With improved data structures and quality standards, you can build a foundation that enables secure, transparent and resilient AI applications.

    03

    Sustainable Implementation of AI Tools

    Avoid typical pitfalls in AI projects. Our methodical approach helps you to implement AI solutions in a predictable and effective manner.

    04

    Efficiently Achieving Real Added Value

    Accelerate your AI implementation by streamlining processes, addressing risks early on and clearly defining pilot projects.

    05

    Controlled and Safe Use of AI

    Clear guidelines and governance prevent unauthorised AI tools from being used in everyday work. This protects sensitive data and ensures compliance.

    06

    Change Management for Secure AI

    We strengthen your teams through targeted training, awareness measures and change management for responsible use of AI.

    Are You Sufficiently Prepared?

    Challenges for Your Business

    AI can only be used safely when security & compliance, productivity and data quality work together. With Zayani Infosec, you can ensure that these building blocks mesh together and that risks do not arise in the first place.

    Secure AI Introduction

    New solutions must comply with technical, ethical and security standards from the outset, a balancing act between innovation and regulation.

    Evaluation of Existing AI Systems

    Existing tools must be regularly checked to ensure they continue to meet data protection, security and performance requirements.

    Preventing Uncontrolled AI Use

    Employees are increasingly resorting to unauthorised AI tools. This makes transparency, governance and compliance more difficult.

    Protecting Sensitive Data

    Company data must not be used for training public AI models. A lack of guidelines increases the risk of unintentional data transfer.

    Insufficient Structure in Projects

    Without defined processes, clear responsibilities and documented procedures, AI projects often fail to deliver sustainable added value.

    Risk Reduction and Compliance

    International Standards & Frameworks

    With Zayani Infosec, you can minimise risks in the areas of data protection, security and regulation, and lay the foundation for trustworthy AI use.

    AI specific

    • ISO/IEC 42001
    • ISO/IEC 23894
    • NIST AI RMF
    • EU AI Act

    Data Protection

    • GDPR
    • ISO/IEC 27701
    • ISO/IEC 27555

    Security

    • ISO/IEC 27001
    • ISO/IEC 27018
    • ENISA AI Threat Landscape
    • OWASP AI Security

    Data Quality

    • ISO/IEC 5259
    • ISO/IEC 8000

    Bias & Ethics

    • ISO/IEC 24027
    • ISO/IEC TR 24028
    • OECD/UNESCO Principles

    Frequently Asked Questions

    The most important answers about AI in Cyber Security

    How can we ensure a safe path to AI adoption?

    A safe path to AI adoption begins with clear governance structures, risk analysis and technical safeguards. It is crucial that security, data protection and ethics are integrated into every AI project from the outset.

    Who requires secure AI services?

    Secure AI services are relevant for all organisations that use AI in a critical to business manner, from public authorities to medium sized companies to large corporations. Highly regulated industries benefit particularly.

    What is the difference between GDPR compliance and AI Act compliance?

    The GDPR protects personal data and regulates how data may be processed. The AI Act specifies how AI systems must be developed, operated and monitored, including risk management, transparency and accountability requirements.

    What poses the greatest threat to the security of AI solutions?

    The greatest risks arise from insecure training data, unprotected models and uncontrolled interfaces. Attacks such as prompt injection, data poisoning or model theft can manipulate AI systems.

    How do we ensure the compliance of our existing AI systems?

    With a continuous compliance approach: regular audits, performance and risk assessments, and after launch monitoring in accordance with the EU AI Act. This ensures AI systems remain secure and compliant.

    How can we prevent employees from using unauthorised AI tools?

    With clear company guidelines, education and technical access restrictions. Our awareness programmes and governance frameworks help ensure AI tools are used in a controlled and secure manner.

    Ready to Transform?

    Let's Build Your GREEN Digital Future Together

    Partner with Zayani Infosec to unlock the full potential of AI, secure your enterprise, and drive meaningful digital transformation. Our experts are ready to help.