
The Threat Landscape Just Changed. Has Your Identity Program?
Key takeaways
- Project Glasswing showed an advanced AI model finding thousands of zero-day vulnerabilities in weeks, some dormant for decades.
- Over 99% of what Glasswing found remains unpatched because discovery outpaces remediation capacity.
- Traditional IAM runs on human timelines: quarterly reviews, week-long tickets, post-audit remediation. That gap is now a security risk.
- Access reviews complete while risk stays the same, and IGA platforms go live while access drifts: execution gaps, not tool gaps.
- Alex executes identity work, resolving orphaned accounts, correcting drift and completing reviews, with human-in-the-loop controls, and typically reaches production within three weeks.
Table of contents
By Benny Porat, Co-Founder and CEO
Overview#
Project Glasswing represents a fundamental shift in cybersecurity dynamics. An advanced AI model discovered thousands of zero-day vulnerabilities across major operating systems and browsers-some dormant for decades-in a matter of weeks. This capability demonstrates that offensive AI has reached a threshold requiring an equivalent defensive response.
The Core Problem#
Traditional identity and access management programs operate on human-driven timelines: quarterly reviews, week-long ticket resolution, post-audit remediation. This temporal gap, once merely inefficient, now poses a genuine security risk.
Common failure patterns show that access reviews get completed while risk does not change, and IGA platforms go live while access still drifts. These represent execution gaps rather than tool inadequacies.
See it in action.
Notably, over 99% of the vulnerabilities Glasswing has found remain unpatched because discovery outpaces remediation capacity. The same dynamic threatens identity programs.
The Solution Framework#
Rather than accumulating dashboards and alerts, organizations need AI-driven execution that matches threat velocity. This means automated systems that:
- Resolve orphaned accounts with business input
- Correct access drift autonomously
- Complete review cycles while maintaining human oversight
Twine’s Approach#
The company has developed “Alex,” an AI Digital Employee that learns organizational context, approval workflows, and business policies. Alex then executes identity management tasks-ticket resolution, data cleanup, access reviews-with human-in-the-loop controls.
Deployment typically reaches production within three weeks, with customers reporting accelerated remediation of long-standing issues.
Benny Porat
Co-Founder and CEO
Frequently asked questions
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