The Guide to AI Security in the Workplace

As a CISO, CIO, compliance officer, or executive, you have already integrated AI into your processes or are about to do so. But between the proliferation of unregulated uses, attacks that your traditional tools cannot detect, and a regulatory framework (AI Act, GDPR, NIS 2, etc.) that remains difficult to implement… it’s hard to know where to start and how far to go.

What are the most common mistakes? Treating AI as a traditional IT system and applying controls that are ill-suited to its specific vulnerabilities. Or, conversely, embarking on an ISO 42001 initiative without first mapping out its use cases or assessing its actual risks. In either case, the result is either silent exposure or a poorly targeted investment.

This exclusive guide provides a structured approach to understanding AI-specific risks, identifying your regulatory obligations, and implementing a defensible risk management strategy—without excessive documentation or unnecessary complexity.

What you will find in this guide

✅ AI as a New Attack Vector: Why AI Systems Expose Your Organization to Risks That Traditional Cybersecurity Doesn’t Cover: data poisoning, prompt injection, model extraction, backdoors, shadow AI

✅ Comprehensive threat mapping: risks associated with AI systems themselves, data, architectures, third-party vendors, and uncontrolled internal uses

✅ The 7-step deployment method: from defining the challenges to guided implementation, with two essential components: overall governance and analysis by AI system

✅ The operational regulatory landscape: how to reconcile the AI Act, GDPR, ISO 42001, ISO 27090, and NIS 2—which applies to whom, depending on their role (supplier vs. implementer), and what specific obligations they entail

✅ A ready-to-use AI security objectives framework: 12 areas covering governance, data, models, applications, monitoring, and fundamental rights, with the expected evidence for each objective

✅ Key points for launching an ISO 42001 project: benefits , implementation method, path to certification

✅ Reference appendices: an in-depth analysis of ISO 27090 (threats and mitigation measures specific to AI systems) and a practical guide to the AI Act (risk classification, role-specific obligations, and links to standardization)

Who is this guide intended for?

• Senior Management / Executive Committee: Understanding the Real Risks Associated with AI, Balancing Innovation, Compliance, and Security, and Driving Enterprise-Wide Governance
• CISO / CIO: Extend existing cybersecurity measures to address the unique aspects of AI, structure risk analysis, and define appropriate measures
• Compliance/Risk Manager: Integrate the AI Act, GDPR, and ISO standards into a cohesive framework; produce defensible evidence in the event of an audit
• AI Project Manager / IT & Data Teams: Knowing where to start, which framework to apply to each system, and how to manage security throughout the entire lifecycle