The growing risk of SaaS sprawl requires a smarter approach to integration

As organizations race to adopt SaaS applications and AI-powered tools, shadow integration has become a more dangerous and often overlooked entry point for modern breaches.

Every new application introduces its own identities, roles, and permissions, while every third-party integration creates another trusted pathway into enterprise systems.

There may already be hundreds of agents currently inside the average enterprise, and these deployments are not slowing down.

Employees routinely authorize third-party OAuth applications that gain persistent access to business-critical systems, often with broad permissions that remain long after they're needed.

At the same time, AI agents and automated workflows are being embedded into critical SaaS platforms like Salesforce, ServiceNow, Workday, and Slack.

Each new connection expands the attack surface, yet few organizations have a complete understanding of how these trusted relationships interact, and cyber criminals have noticed.

In fact, SaaS breaches have increased by 300%.

These identities often operate with elevated privileges, which makes them attractive targets if compromised.

The threat landscape is expanding faster than traditional security models can track.

Without simple, trusted controls that can instantly govern SaaS applications and AI agents, organizations are left with systems that can access sensitive data, interact with business systems and take actions on users’ behalf.

To mitigate the threats, security leaders must be able to know at any moment, which third-party apps are connected to their environment, what those connections can reach, and whether they're behaving normally, rather than finding out after a security incident.

Where SaaS innovation creates security risk As SaaS sprawl grows, IT teams are dealing with fragmented signals across hundreds of applications, making it difficult to understand what’s connected and where access actually lies.

This threat landscape is expanding rapidly.

With projections of over one billion agents in enterprise environments by 2028, organizations are deploying these tools faster than any manual review process.