Prevent Data Leakage in Business-Built AI | Kanopy

Data Leakage Prevention

Sensitive Data Isn’t Always Where You Left It

No-code builders move fast: connecting data, sharing apps, and feeding AI tools, Β without always realizing how far data can travel.

Kanopy brings visibility and control to data usage across no-code platforms, before small leaks turn into real exposure.

data leakage prevention across no-code and AI agent platforms data leakage prevention across no-code and AI agent platforms

When Data Wanders, You’ll Know First

Data leakage in no-code platforms often happens quietly,Β  through misconfigurations, oversharing, or unexpected data movement. Kanopy continuously monitors data usage patterns and surfaces risky behavior as it happens.

See How Data Really Moves

In no-code environments, data exposure is typically the result of cumulative interactions between apps, data sources, and sharing configurations.
From blind spots to clarity

Book a demo
inventory of data sources, connectors, and integrations mapped to apps and flows

Inventory of all data sources, connectors, and integrations mapped to the apps, flows, and agents

identification of externally exposed data and publicly triggered processes

Identification of externally exposed data, including public assets and externally triggered processes

Permission icon representing publicly accessible assets and sensitive endpoints

Visibility into who can access the data, including indirect access through app sharing

detection of data misconfigurations in no-code platforms

Detection of data misconfigurations

detection of overshared data β€” public, excessive, or outside intended groups

Alerts on overshared data: public, excessive, or outside intended groups

Eye icon representing detection of exposed credentials, tokens, and API keys

Visibility into data stored or processed in personal workspaces

Frequently Asked Questions

How does data actually leak in business-built environments, according to Kanopy?

Kanopy's view: leakage is typically the cumulative result of interactions between apps, data sources, and sharing configurations. It's rarely one obvious mistake. Usually it's misconfiguration and oversharing stacking up over time.

What does Kanopy monitor to prevent data leakage?

Kanopy builds an inventory of every data source, connector, and integration mapped to apps, flows, and agents. It also flags externally exposed data, including public assets, and gives visibility into who can access data indirectly through app sharing. On top of that, it detects overshared data and misconfigurations.

Who gets notified when Kanopy finds a data exposure issue?

The asset's owner gets an automatic notification with clear remediation guidance, sent directly by Kanopy. Security teams can also configure their own alerting workflows without having to enforce every change manually.

Power to the People.

Risk to the Enterprise.

The 2026 State of Security in Business-Built Applications and AI Agents
Reported by 200 Enterprise CISOs.

Reveal what’s really growing in your jungle.