REPORTED DEVELOPMENT
Glean announced the general availability of capabilities supporting the execution and governance of reusable AI Skills, including imports from GitHub and integrations using the Model Context Protocol.
The platform describes isolated execution environments, controlled access to credentials, administrative permissions and processes for reviewing and distributing Skills across organisations.
Its technical documentation establishes an important distinction: automated Skill scanning is asynchronous and informational.
A Skill can remain usable while scanning is pending, unsuccessful or has identified potentially serious findings. Execution is prevented only when an authorised moderator disables it, subject to the platform's other access restrictions.
The scanning functionality is also a billed advanced feature, which administrators can disable.
WHY IT MATTERS TO THE MARKET
Reusable AI capabilities are becoming enterprise software assets requiring governance beyond conventional application permissions.
Security scanning, identity management, authorisation and execution controls are separate functions and should not be treated as interchangeable.
The documentation illustrates why buyers must examine actual system behaviour, default configurations and additional operating costs rather than relying only on broad security claims.