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Custom GenAI: Balancing Innovation and Security

Publisher IDC
Published Sep 04, 2025
Length 7 Pages
SKU # IDC20374965

Description

This IDC Perspective highlights the growing adoption of custom-built generative AI (GenAI) applications and the associated security challenges. It emphasizes the need for robust governance frameworks and transparency and provides recommendations for scalable solutions like CNAPPs, employing DevSecOps practices, adopting zero trust, implementing AI-driven threat intelligence, and investigating managed security services to mitigate risks and enhance security. "Custom-built GenAI apps unlock transformative potential but demand transparency, robust security, and adaptability to navigate risks in an evolving AI-driven threat landscape," says Philip Bues, senior research manager, Cloud Security and Confidential Computing, IDC. "Ultimately, technology buyers should have a vendor assessment checklist of capabilities and road map demonstrating collaborative, actionable, achievable outcomes maximizing the benefits of secure custom GenAI applications."

Table of Contents

7 Pages

Executive Snapshot

Situation Overview

Introduction

Executive Overview

Advice for the Technology Buyer

Buyer Best Practices for Custom-Built GenAI Applications

Prioritize Transparency and Explainability

Implement Robust Security Measures

Evaluate Vendor Capabilities

Focus on Integration and Collaboration

Invest in Training and Skill Development

Adopt a Risk-Based Approach

Collaborate with Industry Experts

Conclusion

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