A governance and security layer for the AI agents your organization uses.
JLG4E Services · Hyderabad, India · Worldwide ambition
AI agents can move beyond answering questions to accessing data and taking actions. Without clear controls, organizations may struggle to understand which agent did what, which permissions it used, or whether an action should have required approval.
JLG4E's AI Agent Control & Security product direction is designed to give organizations a central place to define boundaries, observe activity and apply risk-aware controls around agent actions. The first release should focus on one environment and a narrow set of high-value actions rather than trying to secure every AI platform at once.
Map agents to identities, roles and the minimum access they need.
Route sensitive or unusual actions to an authorized person before execution.
Record who or what initiated an action, the decision made and the result.
Define rules for permitted tools, data access and restricted actions.
Surface unusual activity and policy violations for investigation.
A practical first version could monitor a single supported workflow, log tool calls, enforce a small set of permissions, and require human approval for defined high-risk actions.
Our aim is to validate each capability with real users, measure outcomes and expand only when the product is reliable enough for its intended use.
Explore all product areas ↗