AI Progress and Challenges: Why Identity Systems Need Upgrades

Executive Summary

Organizations approach AI cautiously due to outdated identity systems that fail to accommodate autonomous, non-human actors. Current security frameworks designed for human users are now ineffective, hindering safe AI scaling. The 2026 Businesses at Work report uncovers that many leaders lack benchmarks for their AI integration and Shadow AI exposure. Learn essential insights from Harish Peri (Okta) and Michal Golda (Google) on how to upgrade identity systems for successful AI deployment.

👉 Read the full article from Okta here for comprehensive insights.

Key Insights

The Need for Identity System Upgrades

• Identity systems built for human users are inadequate for supporting autonomous AI actors.
• Organizations must urgently address identity gaps to enable safe and scalable AI deployments.

Current Challenges in AI Adoption

• Many leaders lack a clear understanding of how their AI strategies compare to industry standards.
• Existing security frameworks struggle under the pressure of rapidly evolving AI technologies, creating vulnerabilities.

Peer Insights from the 2026 Businesses at Work Report

• The report highlights current trends in AI adoption and security among organizations.
• Key data points reveal where organizations excel and where they fall short in AI integration.

Moving Forward with Confidence

• Organizations need to reassess their identity systems to align with the realities of AI deployment.
• Proactive measures can enhance security and ensure safe AI scaling, thus facilitating growth and innovation.

👉 Access the full expert analysis and actionable security insights from Okta here.