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Oct 02, 2025 • Wiz Security Research

AI Security 101: Mapping the AI Attack Surface

This article serves as an introductory guide focused on artificial intelligence security, specifically aiming to map the AI attack surface for security teams....

Source
Wiz Security Research
Category
vulnerability
Severity
medium

Executive Summary

This article serves as an introductory guide focused on artificial intelligence security, specifically aiming to map the AI attack surface for security teams. It highlights the inherent risks and blind spots associated with deploying AI technologies within organizational infrastructure. While no specific threat actors or malware families are identified, the content emphasizes the necessity for comprehensive protections to mitigate emerging AI-related vulnerabilities. The impact involves potential exposure of sensitive data and system integrity if AI surfaces are not properly secured. Mitigation strategies revolve around understanding the unique attack vectors presented by AI models and implementing robust security controls. Security teams are urged to prioritize awareness and proactive defense mechanisms to safeguard against evolving threats targeting AI systems. This resource acts as a foundational reference for building resilience against AI-specific security challenges in modern enterprise environments.

Summary

A practical guide to the risks, blind spots, and protections every security team needs to know.

Published Analysis

This article serves as an introductory guide focused on artificial intelligence security, specifically aiming to map the AI attack surface for security teams. It highlights the inherent risks and blind spots associated with deploying AI technologies within organizational infrastructure. While no specific threat actors or malware families are identified, the content emphasizes the necessity for comprehensive protections to mitigate emerging AI-related vulnerabilities. The impact involves potential exposure of sensitive data and system integrity if AI surfaces are not properly secured. Mitigation strategies revolve around understanding the unique attack vectors presented by AI models and implementing robust security controls. Security teams are urged to prioritize awareness and proactive defense mechanisms to safeguard against evolving threats targeting AI systems. This resource acts as a foundational reference for building resilience against AI-specific security challenges in modern enterprise environments. A practical guide to the risks, blind spots, and protections every security team needs to know. A practical guide to the risks, blind spots, and protections every security team needs to know.