← All stories
● Covered by 1 source · 1 reportMedium impact1 neutral

Security Teams Face Challenges Managing 'Wild Code' Created by Employees

🔄 Updated 17d ago
New to BrevFeed? We gather this story from every outlet covering it into one summary — ranked by real-world impact, not just the latest headline — so you never miss what matters. What is BrevFeed? →

Key points

  • Employees create AI-assisted workflows faster than security processes can manage.
  • 'Wild code' refers to useful, unmanaged employee-built applications.
  • Risks include excessive permissions, sensitive data exposure, and orphaned access.
  • Traditional security fixes like education and sandboxes are insufficient.

The Rise of 'Wild Code'

Employees are increasingly building AI-assisted workflows and applications to automate tasks, such as sales managers creating tools to route leads and summarize requests. These custom solutions often become integral to daily operations, saving time and reducing manual effort within teams.

This rapid development of new capabilities by employees outpaces existing organizational processes for ownership, security, and maintenance. This phenomenon, termed 'wild code,' differs from unapproved software as it involves the creation of new functionalities rather than just the adoption of existing products.

Associated Security Risks

The primary concern with 'wild code' extends beyond vulnerabilities in the generated code itself. Even when functioning as intended, these applications can pose significant security risks. These include operating with excessive permissions, exposing sensitive data to unintended audiences, or performing actions without appropriate approval boundaries.

Specific risks identified are excessive permissions where workflows access more data than necessary, sensitive data exposure through unnecessary connections or broad output availability, unintended actions that modify records without proper authorization, and orphaned access when creators leave, leaving workflows unmanaged and their permissions unreviewed. Additionally, investigation gaps arise when security cannot trace actions or access during incidents.

Limitations of Current Security Measures

Current security approaches, such as employee education, sandboxes, and AI steering committees, are insufficient to fully control 'wild code.' These measures often fail to govern software they may not encounter or control its behavior once operational. Policies describe ideal scenarios but do not inherently enforce them in dynamic, employee-driven development environments.

Towards Sustainable Control

A more effective strategy involves embedding controls directly into the operational environment. This includes regulating what employees can connect to, defining the capabilities of their applications and agents, and continuously monitoring their activities once deployed. This approach aims to manage the risks associated with 'wild code' by establishing systemic safeguards rather than relying solely on preventative education or post-incident responses.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

The daily brief

One email each morning: the day's tech stories, clustered across outlets and summarized. No account needed.

One email a day. Unsubscribe in one click, any time.

Today's brief

Spend a few minutes, get the whole day. Every topic's top stories in one hands-free rundown — listen, watch, or read the transcript.

~4 min · 3 stories · Nov 07

▶ Play today's brief Listen on Spotify

New every morning, and the back catalogue is archived by date.

Reporting from

The proliferation of employee-built AI-assisted workflows and applications, termed 'wild code,' is creating new security risks for organizations. These tools often operate with excessive permissions, expose sensitive data, or lack clear ownership, posing challenges beyond traditional software security concerns.