AI applications today are complex ecosystems comprising models, agents, tools, and cloud services, often defying clear boundaries. This evolution necessitates a new visibility model for security teams, as traditional methods fail to capture dynamic AI behavior, leading to blind spots. Key questions arise: Where are AI systems deployed? What constitutes an AI application?
To address these gaps, comprehensive visibility must integrate multiple data signals, including code-level detection, cloud service analysis, and invocation logs. Wiz provides a holistic AI visibility approach by correlating diverse signals, offering insights into AI components—such as models, agents, and tools—across environments like AWS or custom deployments.
Wiz’s AI Inventory helps teams manage responsibility, adoption rates, and potential risks related to AI usage, empowering proactive security measures. Understanding AI systems’ structure and behavior is foundational for mitigating risks, ensuring secure and effective AI adoption in organizational settings.
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