With organizations now managing an average of 490 SaaS applications—and only 47% of SaaS applications authorized—the explosion of GenAI adoption and shadow SaaS has created unprecedented security challenges for modern enterprises.
Ofer Klein Co-Founder & CEO
Executive Summary
10 high-risk AI apps
the most dangerous shadow AI applications currently in use, with three receiving failing security grades
53% OpenAI market share
OpenAI's dominant position in shadow AI usage, processing data from 10,000+ users
400+ days of persistence
how long unsanctioned AI tools remain embedded in workflows, showing this isn't an experiment
68 average security score
the poor security rating of popular AI tools, a disconnect between adoption and security
Spotlight: The GenAI Security Challenge
We identified ten high-risk shadow AI applications infiltrating enterprises, with three receiving failing security grades for lacking basic controls like encryption and multi-factor authentication. These apps—including Jivrus Technologies, Happytalk, and Stability AI—expose organizations to immediate data breach risks and require urgent remediation.
The Shadow SaaS Crisis
Small businesses face the highest shadow AI risk, with 27% of employees in companies with 11-50 workers using unsanctioned tools. These organizations average 269 shadow AI tools per 1,000 employees while lacking the security resources to monitor or control this sprawling attack surface.
Our Research Methodology
50+
diverse enterprise environments
1 year+
of continuous monitoring
55,000+
SaaS applications
Multiple industry sectors
including financial services, healthcare, and technology
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