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Scrape Timestamp (UTC): 2025-05-22 10:33:43.028

Source: https://thehackernews.com/2025/05/identity-security-has-automation.html

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Identity Security Has an Automation Problem—And It's Bigger Than You Think. For many organizations, identity security appears to be under control. On paper, everything checks out. But new research from Cerby, based on insights from over 500 IT and security leaders, reveals a different reality: too much still depends on people—not systems—to function. In fact, fewer than 4% of security teams have fully automated their core identity workflows. Core workflows, like enrolling in Multi Factor Authentication (MFA), keeping credentials secure and up to date, and revoking access the moment someone leaves—are often manual, inconsistent, and vulnerable to error. And when security execution relies on memory or follow-up, gaps appear fast. Human error remains one of the biggest threats to enterprise security. Verizon's 2025 Data Breach report found that the human element was involved in 60% of breaches. The same manual missteps that led to breaches a decade ago still expose identity systems today. Cerby's 2025 Identity Automation Gap research report shows just how widespread the issue is—and how far automation still has to go. The last mile still runs on human error The data reveals a persistent reliance on human action for tasks that should be automated across the identity security lifecycle. Organizations can't afford to wait The consequences are no longer hypothetical. According to the Ponemon Institute, 52% of enterprises have experienced a security breach caused by manual identity work in disconnected applications. Most of them had four or more. The downstream impact was tangible: 43% reported customer loss, and 36% lost partners. These failures are predictable and preventable, but only if organizations stop relying on humans to carry out what should be automated. Identity is no longer a background system. It's one of the primary control planes in enterprise security. As attack surfaces expand and threat actors become more sophisticated, the automation gap becomes harder—and riskier—to ignore. Why the automation gap persists Why do these manual gaps still exist if automation is so critical to identity security? They've emerged as a byproduct of rapid growth, application sprawl, and fragmented infrastructure. Closing the automation gap The good news: closing the automation gap doesn't require rebuilding or replacing your identity stack. It means completing it. Forward-thinking organizations are bringing automation to every corner of their application ecosystem without waiting for native integrations. Some teams are also exploring AI agents to help close this gap. But trust is still evolving: 78% of security leaders say they don't trust AI to fully automate core identity tasks—yet 45% support a collaborative human-in-the-loop model. Cerby provides organizations with the flexibility to support both approaches—meeting teams where they are and delivering automation where it's needed most. Cerby's research report, The 2025 Identity Automation Gap, includes findings from 500+ IT and security leaders and practical steps for closing one of the most overlooked risks in enterprise security. Download the full report or schedule a 15-minute demo to see how Cerby brings automation across your entire identity surface.

Daily Brief Summary

MISCELLANEOUS // The Critical Role of Automation in Enhancing Identity Security

Less than 4% of security teams have fully automated core identity workflows like MFA enrollment and access revocation.

Human error is implicated in 60% of data breaches, underscoring the persistent threat it poses to enterprise security.

A significant automation gap in identity management persists, leading to substantial security breaches and loss of enterprise resources.

52% of enterprises have experienced breaches due to manual mishandling of identity tasks, leading to customer and partner losses.

The automation gap is maintained by rapid organizational growth, dispersed applications, and fragmented infrastructures.

Organizations are encouraged to adopt automation across all application ecosystems to mitigate risks and enhance security.

While AI is considered for closing the automation gap, 78% of security leaders are hesitant to fully trust AI with core identity tasks.

Cerby introduces solutions that blend automation with human oversight, aiming to bridge the automation gap in identity security.