That is the gap many MSSPs are now facing.

Their customers already have SIEM, MFA, WAF, endpoint security, and identity tools. But fake accounts, suspicious devices, bot signups, account takeover, and account abuse often happen inside customer facing apps where traditional security context is thin.

This is where CrossClassify fits.

It gives MSSPs a fraud detection and device intelligence layer for web and mobile platforms. Behavioral, browser, device, network, and account consistency signals become risk scores that can support SOC workflows, fraud review, and customer trust.

I wrote a practical article on fraud detection for MSSPs and why it can become a new managed service line.

I broke down the exact approach in the article linked below.

Read the full article in here.