Identity Security Implementation: Overcoming Major Hurdles Amid Rising AI Threats
Identity Security Implementation Faces Major Hurdles, New Survey Finds
A new survey by Keeper Security reveals significant challenges organizations face in implementing identity security measures, with only 27.3% reporting effective zero-trust implementation amid rising AI-driven security threats.
The findings highlight a growing disconnect between organizations' security ambitions and their practical ability to execute comprehensive identity and access management strategies, particularly as artificial intelligence enhances the sophistication of cyber threats.
Implementation Challenges and Security Gaps
Deployment complexity emerged as the primary obstacle, with 30% of organizations citing it as their main challenge. Integration with legacy systems follows closely at 27.3%, while 20% of respondents point to inadequate leadership support as a significant barrier.
The survey exposed concerning statistics about organizations' readiness to face evolving threats. Only 16.4% of respondents expressed confidence in their ability to defend against AI-driven identity attacks, highlighting a critical vulnerability in current security postures.
Critical PAM Deficiencies
Organizations are struggling with fundamental aspects of Privileged Access Management implementation and control:
- 40% fail to enforce multi-factor authentication
- 33.6% don't remove unnecessary privileges
- 32.7% operate without a PAM solution
Emerging Threat Landscape
Security professionals express particular concern about phishing, social engineering, and deepfakes as primary threats for the next 12-18 months. Organizations must prioritize implementing robust multi-factor authentication solutions while ensuring comprehensive protection against these evolving threats.
The findings underscore the urgent need for organizations to address these challenges as cyber threats continue to evolve and become more sophisticated. Security leaders should focus on securing leadership buy-in and allocating resources to overcome implementation hurdles while building robust defense mechanisms against emerging AI-driven threats.