AI-Powered SaaS Security: The Key to Protecting an Expanding Attack Surface

SaaS adoption is skyrocketing. Organizations now use an average of 112 SaaS applications, and that number keeps growing. But with this rapid expansion comes unprecedented security risks.

In a 2024 study, 49% of Microsoft 365 users believed they had fewer than 10 connected apps — but data revealed over 1,000 SaaS-to-SaaS connections per deployment.

That’s a massive blind spot — and it’s just one SaaS provider. Imagine the hidden risks across an entire organization’s CRM, finance, collaboration tools, and third-party integrations.

Traditional security methods simply cannot keep up. AI-powered solutions are now essential to protecting businesses from misconfigurations, shadow IT, and evolving cyber threats.

Every SaaS app has unique security settings, making misconfigurations a top risk. One wrong setting can expose sensitive data or allow unauthorized access.

Employees often connect unauthorized third-party apps to SaaS platforms, introducing unknown vulnerabilities. This makes it impossible for security teams to track every access point.

Many SaaS tools rely on AI services for transcription, automation, and analytics. However, these third-party AI providers may lack regulatory compliance and security testing, posing a hidden risk to enterprise data.

Major SaaS providers push thousands of updates daily, introducing new features — but also potential security gaps. Keeping up manually? Impossible.

Bottom line? Organizations are drowning in security noise, struggling to identify and prioritize real threats. AI is the only way forward.