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AI Strategy & Security

Turn AI Threats Into Manageable Risk

Identify, assess, and mitigate AI-related threats across your organization, before they impact security, compliance, or operations.
Speak to us Today
AI Risk Assessment - Kudelski Security
Services
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AI & Emerging Technology Security

Why AI Strategy & Security?

AI adoption is accelerating, but without a clear strategy and security framework, organizations face significant risks. IT leaders are under pressure to balance innovation with protection, often without internal expertise or alignment across business units.

Common challenges include:
Unsecured AI models and shadow AI projects across departments
Unclear ownership of AI governance, risk, and compliance
Difficulty aligning AI initiatives with existing security frameworks
Limited visibility into AI-driven data flows and third-party dependencies
Rapidly evolving regulatory expectations for AI security and ethics
24%
“Only 24% of organizations have formal AI governance in place.”

Gartner

Our AI Strategy & Security Approach 

Kudelski Security’s AI Strategy and Security is a tailored assessment service designed to help enterprise security and IT leaders gain clarity, control, and confidence in their AI initiatives. Delivered by senior consultants with cybersecurity and AI expertise, this engagement provides a strategic roadmap for adopting, scaling, and securing AI technologies across your organization.

Through structured assessments, stakeholder workshops, and risk mapping, our team uncovers where AI is being used, evaluates existing controls, and defines a secure operating model aligned with business objectives. You’ll gain prioritized recommendations, policy templates, and a clear governance framework to move forward with confidence.

Whether you're launching your first AI project or scaling enterprise-wide adoption, we ensure your AI strategy is secure, compliant, and aligned with your broader cyber risk management goals.
Contact Us

AI Strategy & Security
Outcomes

Accelerated compliance with AI governance regulations.
Minimized business risk from AI-related exploits.
Centralized oversight across AI systems and assets.

Kudelski Security’s
AI Strategy & Security Capabilities

AI Risk Discovery & Inventory

Identify existing and emerging AI use cases across departments, including unapproved or shadow AI projects.

Security & Governance Gap Analysis

Evaluate your current controls, policies, and architecture against leading AI security frameworks and best practices.

Custom AI Security Roadmap

Receive a tailored strategic plan with actionable next steps, aligned with business priorities and risk tolerance.

Stakeholder Alignment Workshops

Facilitate cross-functional discussions between IT, security, data science, and compliance teams to drive buy-in and shared ownership.

Regulatory & Compliance Readiness

Understand your obligations under evolving AI regulations (e.g., EU AI Act, NIST AI RMF) and how to meet them effectively.

Policy & Control Recommendations

Get templates and best-practice guidelines for AI governance, risk management, model validation, and data protection.
AI Risk Assessment - Kudelski Security
An AI Strategy & Security Use Case

AI Adoption in a Global Financial Institution

A global financial services provider began rapidly adopting AI to optimize fraud detection, underwriting, and customer analytics. However, their security team lacked visibility into where AI models were deployed, how sensitive data is being used, and whether governance policies were being followed. With regulatory pressure increasing, leadership needed a unified strategy that aligned innovation with risk management.

Through the AI Strategy and Security assessment, the organization gained a full inventory of active AI initiatives, identified control gaps, and received a tailored governance framework. This empowered the CISO and CIO to align business units, reduce unmanaged risk, and confidently scale AI efforts with board support.
Improve visibility into AI initiatives across departments, including shadow AI projects
NIST
Establish a governance model aligned with NIST AI RMF and internal security policies
Reduce AI-related compliance risk ahead of upcoming regulatory audits

Our AI Strategy & Security
Service Delivery Model

Simple. Strategic. Secure.

Built to align with
OWASP, NIST, and MITRE ATT&CK frameworks.
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1

Inventory AI Systems

Manually identify all AI/ML models, tools, and data pipelines in use across business units, including third-party and shadow AI.
2

Map Use Cases & Dependencies

Document each system’s purpose, data inputs, model architecture, and integration points to understand potential impact and exposure.
3

Assess Risks by Category

Evaluate models against risk domains such as bias, robustness, data security, and compliance. Use frameworks like NIST AI RMF or ISO 42001.
4

Rate & Prioritize Risks

Assign qualitative or quantitative risk scores to each AI asset based on likelihood, impact, and existing controls.
5

Report & Recommendations

Compile assessment results into a standardized format for internal review, compliance reporting, and remediation planning.
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Reports

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2024 Cybersecurity Trends & Actionable Insights

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AI & Emerging Technologies - AI Strategy & Security

Turn AI Risk into Strategic Advantage
Build an AI roadmap that’s secure, scalable, and ready for what’s next.

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