According to Cloudeagle.ai, 60% of enterprise SaaS and AI applications run out of sight. This invisible surge promotes the crisis of AI identity governance, leading to increased violations, audit failures and increased compliance risks across the enterprise.
A study of 1,000 enterprise CIOs and CISOs shows shifts. Most security breaches have been launched within the organization. The main problem is that user permissions, unused accounts, and poor identity management. Manual onboarding, rare access checks, and disconnected offboarding make things worse.
70% of CIOs say that unauthorized AI tools are the main data risk, and they can still access the company months after almost half of their former employees leave.
“Traditional IAM tools cannot keep up with today's SaaS and AI-driven environments, as not all apps are managed by it and not all are behind a centralized IAM system. IGAs are at chip points and businesses need to move to AI-driven access management to stay safe and compliant.
Important findings from the report show the size of the access sprawl.
- One in two employees have excessive privileges
- Only 15% of departments have implemented Just-in-Time (JIT) access
- 50% admit that privileged creep is common, but only 5% enforce minimal policies
The report calls on organizations to take a more proactive approach, adopt AI ID governance to mitigate risk and regain control. It is now considered an important part of security, and these teams are ultimately getting the necessary budget, support and urgency, just like what the security operations team had. This shift will help manage and ensure the increased use of AI and SAAS tools.
- Implements context-aware zero trust access control
- Hire the best Identity Manager (CIDO) to integrate governance across all teams
- Automatic provisioning/deprovisioning app based on real-time usage
- Enforce JIT access for high-risk roles and eliminate persistent privileges
- Perform continuous behavioral AI-based access reviews
