As AI adoption accelerates, the attack surface expands
Organizations are deploying AI faster than security teams can protect it. As generative AI (GenAI), copilots, and autonomous agents spread across the enterprise, they introduce new risks, including shadow AI, uncontrolled data exposure, misgoverned non-human identities, and AI-driven behaviors that traditional security tools weren’t designed to defend.
In this guide, you’ll learn how to:
- Gain visibility into shadow AI and govern unsanctioned tools, embedded AI features, third-party models, and agentic workflows
- Prepare for emerging AI regulations by building governance and compliance frameworks that scale with evolving requirements
- Classify, control, and protect sensitive data used by large language models (LLMs), copilots, and AI-enabled systems
- Build an AI Detection and Response strategy and extend coverage to the new attack surface: the prompt and agent interaction layer
- Red team and adversarially test AI systems to expose real-world risks, such as prompt injection, jailbreaks, data poisoning, and excessive agency
Download this guide to understand, govern, and reduce AI risk across your enterprise.
