Many organizations recognize the need for identity security and prioritize a zero-trust model, but face significant hurdles in implementation. Effective deployment is evident in only 27.3% of cases. Identity-based threats are increasingly automated and sophisticated, largely due to AI advancements. Confidence in defending against AI-driven attacks is low, with only 16.4% feeling secure. Phishing, social engineering, and deepfakes are expected to be major threats in the coming months. Deployment complexity, legacy system integration issues, and inadequate leadership support are key challenges to overcoming these obstacles.
Only 27.3% of organizations effectively implement identity security, revealing a gap between the need for security measures and their practical adoption.
Automated identity-based threats, particularly those driven by AI, concern many organizations, with just 16.4% confident in their protective capabilities against such attacks.
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