New Platform Use Case

Securely Unlock Copilot for M365

As Copilot for M365 is extended to read and write data in real-time, security is needed to prevent data leakage and supply chain risks


Real-Time Data Means Real-Time Issues

As enterprises adopt Copilot for M365, plugins are needed to create dynamic flows and apps to help get more done. This also means higher likelihood for data leakage.

Lack of Visibility

Understanding where data is going and detecting data leakage is hard to monitor as Copilot is extended

Zenity Becomes the First Company to Provide Application Security for Enterprise AI Copilots

Credential and Identity Sharing

It is very easy for plugins to be embedded with hard-coded secrets and individual identities; creating blind spots for security


6 Microsoft Copilot Studio Vulnerabilities in 4 Minutes

Prone to Prompt Injection

Copilots and AI models can easily be tricked by bad actors into sharing too much information

Who is Securing the Apps Built by Generative AI?

Shadow AI 

Plugins are built outside of the purview of IT and hosted in marketplaces with little-to-no oversight 

Microsoft Copilot Studio Vulnerabilities: Explained
The solution

AISPM for Copilot for M365

While many vendors focus on AI DLP, it does not detect apps that use unapproved AI services. Further, they fail to provide insights into which identities AI is using, what components can it run, on which network, and how do they interact with other regular or AI-powered applications.

Gain Visibility

Zenity’s solution identifies usage trends, interactions, and plugins that are used throughout Copilot for M365


Assess for Risk

Determine violations for each plugin such as exposed secrets, embedded identities, sensitive data leakage, and more

Establish Secure Guardrails

Prevent the use of insecure or risky plugins that expose the enterprise to compliance or security failures

Plugins for Copilot for M365 are Uncharted Territory

Zenity provides the only AISPM solution on the market that helps to secure and govern the end-to-end use of Copilot for M365 by focusing on extensions and plugins

Understand Interactions

Determine how end users are engaging with Copilot to determine where risks lie

Stop Data Leakage

Flag risky plugins to prevent data from leaking by identifying specific risks within the context of how business is done

Map Relationships of Plugins

Visualize the composition of each plugin to determine exactly where in the supply chain risks exist

Empower End Users

Confidently unlock Copilot for M365 knowing that each individual plugin and use case is covered

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