Artificial intelligence is changing how companies use data, make decisions, and automate processes. At the same time, requirements around security, governance, privacy, and compliance are increasing.
Consulteer InCyber helps companies introduce AI systems securely, transparently, and in a way that stands up to regulatory scrutiny. Our AI Security Consulting combines cybersecurity, AI risk management, AI governance, architecture expertise, and experience in operating modern security services.
The goal is not to slow down AI initiatives, but to enable them in a controlled way: with a clear strategy, sound AI risk assessment, appropriate security controls, and governance that works in day-to-day operations.
Shadow AI
Attack Surface and new Threats
Complexity and Regulation
Transparency and Governance
Quality, Fairness and Ethics
Our Top-down Approach
AI security does not begin with tools or individual security controls. It begins with a clear strategy, binding guardrails, and secure implementation in operations.
That is why Consulteer InCyber follows a top-down approach that considers AI security across three levels:
1. Strategic Level: Governance & Vision
2. Tactical Level: Architecture & Standards
3. Operational Level: Risk & Implementation
Our Focus Areas: A holistic Approach to AI Security
Our consulting approach covers the key dimensions of AI security – from governance and compliance to technical security controls and operational integration. These focus areas are aligned with recognised frameworks such as NIST AI RMF, ISO/IEC 42001, and industry best practices, helping organisations build secure, compliant, and scalable AI capabilities.
1. Governance & Compliance
2. Organizational Security Structures
3. Technical Security Controls
4. Data & Model Security
5. Operational Security
6. Audit and Assurance
7. Vendor & Third-Party Management
8. Employee Enablement
Benefits
Clarity & Control
Security by Design
Auditability & Compliance
Risikominimierung & Enablement
Our Project Methodology
We establish transparency around existing AI initiatives and define the scope for the assessment.
Key activities:
Regulatory scoping and identification of applicable requirements (EU AI Act, GDPR, NIST AI RMF)
Inventory of existing AI use cases and AI systems
Creation of an AI asset inventory
Identification of key stakeholders and responsibilities
Definition of scope, priorities, and target outcomes
Deliverables:
Scope definition and stakeholder overview
AI asset inventory
Assessment project plan
Our Tools & Accelerators: Enabling Faster and More Effective AI Security
To accelerate assessments and deliver practical outcomes, Consulteer InCyber leverages proven tools, checklists, and blueprints developed from real-world consulting engagements. These assets are aligned with recognised frameworks and standards such as NIST AI RMF, ISO/IEC 42001, and OWASP, helping organisations assess risks, prioritise actions, and make informed decisions around AI security and governance.
AI Governance & Security Readiness Check
The AI Governance & Security Readiness Check helps organisations assess the maturity of their AI governance and AI security capabilities. It is typically used during the assessment phase to establish a clear baseline and identify priority areas for improvement.
Focus: AI governance structures, privacy and data protection compliance, technical security controls, organisational responsibilities, and employee awareness.
Content: A structured assessment framework covering AI governance, AI risk management, security requirements, privacy, LLM security, and alignment with standards such as ISO/IEC 42001, NIST AI RMF, and OWASP guidance.
Outcome: A prioritised heatmap highlighting strengths, gaps, and areas requiring action, providing a clear foundation for an AI security roadmap.
AI Procurement & Deployment Blueprint
The AI Procurement & Deployment Blueprint supports IT, security, procurement, and architecture teams in evaluating new AI solutions, AI tools, and AI services before acquisition, deployment, or operational use.
Focus: Assessing the security, compliance, and suitability of AI technologies before implementation.
Content: A structured decision framework based on data classification, risk assessment, security requirements, vendor risk, deployment model, and intended data access.
Outcome: A clear decision-making basis for determining whether a proposed AI solution, external AI service, Large Language Model (LLM), or AI application is appropriate for the intended use case, security requirements, and data sensitivity level.
Talk to Our Experts
Do you want to adopt AI securely, assess AI risks, or establish reliable AI governance?
Consulteer InCyber is your reliable partner for AI Security Consulting – from the initial assessment through strategy and security architecture to operational implementation.
