CISO guide to AI security investments

AI is reshaping the enterprise landscape, and security budgets are struggling to keep up. As organizations rush to adopt AI, security teams face increasing pressure to protect these systems without clear guidance on where to invest their limited resources.

The challenge is not just to protect AI, but to do so strategically. CISOs are faced with important questions such as:

‍• Where should you invest first? Prioritize between data governance, model security, access control, and monitoring tools
• How do you prove ROI? Demonstrate the business value of AI security investments to management.
• Which vendors offer it? Evaluate the crowded AI security market without overspending on redundant tools
• How much is enough? Set your budget appropriately based on your organization’s AI maturity and risk profile
• What about compliance? Budgeting to meet evolving regulatory requirements across jurisdictions
• Build or buy? Deciding when to invest in a solution and when to build internal functionality.

Without a strategic investment framework, organizations end up overspending on unnecessary tools or leaving significant gaps that expose them to AI-specific risks such as model poisoning, data leaks, prompt injections, and regulatory violations.

This guide provides a practical investment framework developed by security leaders who have successfully built and scaled AI security programs. Learn how to assess current posture, identify investment priorities, evaluate solutions, and build a business case that secures executive buy-in.

Whether you’re just starting your AI security journey or optimizing your existing program, this guide will help you make smart investments and protect what matters most.

Download now and prepare for AI governance.