Rapid advances in AI, particularly gen AI, have sparked transformative developments across domains, including cybersecurity. Security teams can leverage gen AI and Large Language Models (LLMs) to dynamically adapt to sophisticated cyber threats and fortify cyber defenses in today’s complex digital landscape.

Unlike traditional rules-based approaches, gen AI integration introduces a responsive and adaptive security element, enabling defenders to outmaneuver adversaries proactively. It can also help respond to challenges beyond traditional perimeters, such as securing cloud environments, managing IoT devices, and fortifying interconnected networks.

This viewpoint highlights gen AI’s role in enhancing cybersecurity strategies and examines gen AI’s growth drivers, enterprise concerns, and market trends specific to industries and regions. Additionally, it provides insights into potential pitfalls, ethical considerations, and regulatory compliance.

Scope

• All industries and geographies
• This report is based on Everest Group’s comprehensive research methodology, industry knowledge, interactions with leading providers and enterprises, and ongoing market analysis

Contents

In this report, we examine:

• Traditional AI and gen AI for cybersecurity
• Gen AI’s implication for cybersecurity
• Defensive benefits of gen AI and offensive risks of gen AI
• Risk and regulation of gen AI adoption
• Gen AI use cases in cybersecurity
• Road ahead in gen AI adoption in cybersecurity

Membership(s)

Cybersecurity

Sourcing and Vendor Management