AI Use-Cases for Security Teams
This resource outlines practical AI use cases designed to strengthen and scale modern security teams. It shows how AI can enhance vulnerability and attack surface management, improve real-time threat detection and response, and strengthen data loss prevention by identifying sensitive content and subtle exfiltration attempts.
The guide also highlights how AI can support security architecture and threat modeling, optimize and refactor code, streamline documentation and reporting, and improve security awareness and executive communication. Together, these use cases demonstrate how AI can help security teams work faster, communicate more effectively, and focus their expertise where it matters most—reducing risk while improving operational efficiency.
Complete the form and we'll send a copy of the guide to your email.
Click here to download our new 2026 AI Report to learn more!
Request your free content download
Find similar resources
Prompts for Testing AI Security
This document provides a detailed set of prompts to evaluate the security and data privacy guardrails of AI systems.

Mitigate These Five AI Risks
This report explores five critical risk areas: over-reliance on AI, AI bias, hiring misrepresentation through AI, combinatorial risks from agentic AI systems and AI tool sprawl.

Securing Microsoft 365 Copilot: A Checklist (Updated)
This checklist is designed to help security teams securely pilot and deploy specific Microsoft 365 (M365) Copilot features, such as M365 Copilot for Intelligent Search, Chat, Bing, SharePoint and Teams.
