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SaaS Generative AI visibility and risk management

Get real visibility into how AI-powered SaaS apps are accessing, processing, and exposing sensitive information—before it costs you compliance, customers, and control.

GENERATIVE AI VISIBILITY

Eliminate blind spots

SaaS Gen-AI Discovery

Detect every SaaS app powered by Gen AI, and see who’s using them, what data they access, and where your risks are.

Context & Prioritization

Understand how each app uses AI (training, inference, storage) and prioritize risks based on data sensitivity, permissions, and trust.

Remediation & Control

Restrict risky AI usage, block unauthorized access, and enforce governance policies—without slowing business down.

Unseen data exposure

What Is generative AI visibility?

GenAI visibility means knowing which SaaS apps are running AI engines behind the scenes—often without your approval—and understanding exactly how they interact with your most sensitive data.

Why It matters in SaaS security

If you can’t see which apps are using AI, you can’t see where your data is being copied, trained on, or stored. Blindness at this level isn’t just a technical gap—it’s an open invitation to compliance failures, data leaks, and reputational damage.

Talk with a Wing Security expert

Let’s have a quick chat and show you Wing in action.

Why It Matters

Unmonitored data exposure

GenAI-powered apps often access sensitive documents, personal information, or intellectual property without security teams’ knowledge. If not monitored, sensitive content can be ingested, trained on, or exposed externally, leading to breaches, IP theft, and compliance failures.

Compliance and Regulatory Risks

Organizations must demonstrate control over AI data handling under evolving regulations like GDPR, CCPA, and new AI-specific frameworks (e.g., EU AI Act). The lack of visibility into AI usage increases the risk of costly noncompliance fines and reputational damage.

Operational risk of shadow AI

Without responsible AI governance, companies risk internal chaos—where different teams adopt various AI tools without approval, causing inconsistent data practices and undermining trust. Unified visibility and control ensure secure, efficient, and responsible use of AI across the business.

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