“Right now, AI agents run in the background with basically no audit trail. A standardized session that tracks exactly what happened, who did what, and hands off cleanly between human and AI could make it much easier to monitor and secure all this new agent activity,” Jain said.
The approach could also help enterprises gain a single control layer for tracking, auditing, and managing autonomous software work instead of relying on multiple monitoring, observability, and workflow tools, Jha added.
Jha cautioned that enterprises should view Superlogical as an early-stage technology rather than a mature infrastructure platform: “The product remains in beta and has yet to be independently benchmarked or proven at enterprise scale.”
