Late-Joiner Herd Immunity at Fleet-Join Time

Executive Summary

Claim 56 describes ongoing, peer-to-peer distribution of confirmed remediations across a federation as they are confirmed over time. A newly-joined cell has a different problem: it has zero local history and, absent a special mechanism, would only receive the federation's accumulated knowledge piecemeal, remedy by remedy, as ordinary distribution events happen to reach it - or worse, would have to independently fail against every fault the rest of the federation already solved long ago.

AEGIS instead treats the join event itself as an inheritance trigger. The moment a cell is detected as newly joined, the system identifies the federation's entire existing library of confirmed remediation signatures and applies that full library to the new cell in one step - before the cell has ever independently experienced any of those faults. The new cell is immunized against the federation's known fault modes from its first moment of operation.

Problem Statement

Onboarding a new site into a mature, federated infrastructure typically means that site starts with none of the institutional knowledge the rest of the fleet has already earned. Whether that knowledge lives in human runbooks, tribal memory, or a purely local automated-trust model, a new site is exposed to every previously-solved fault as if it were novel, until enough time passes for knowledge to reach it through whatever channel - human or automated - happens to carry it there.

Why Existing Solutions Are Insufficient

• Golden-image / base-configuration onboarding: Bakes known-good configuration into a new node's initial image, but is a point-in-time snapshot - it does not carry forward remediation knowledge confirmed by the fleet after that image was built.
• Ordinary peer-to-peer distribution without a join-time trigger: Under Claim 56's mechanism alone, a new cell would still only receive remedies as they are newly confirmed going forward, missing everything the federation already knew before the cell joined.
• Documentation-based onboarding (runbook libraries, wikis): Human-mediated and slow, and does not itself grant the new site's automation any executable, pre-trusted authority to act on the documented knowledge.
• Per-cell independent learning with no herd concept: Treats every cell, including new ones, as an isolated learner that must build its own confirmed-outcome history from zero, regardless of what the rest of the federation already knows.

Technical Architecture

Join Detection

The system detects when a network cell newly joins the monitored federation - a discrete, identifiable event distinct from ongoing steady-state operation of an already-established cell.

Library Identification

Upon detecting a join event, the system identifies the current library of remediation signatures previously confirmed and distributed across the federation's other cells - the accumulated output of every confirmation event under Claim 56 to date.

Bulk Application at Join Time

The identified library is applied to the newly-joined cell as a single join-time operation. The new cell is thereby enabled to autonomously execute previously-confirmed remediations against matching local fault occurrences immediately, without independently accumulating its own confirmed-outcome history through repeated local failures first.

Join-Time Inoculation Protocol

This mechanism composes directly with Claim 56: ongoing peer-to-peer distribution keeps every established cell current with newly-confirmed remedies as they happen, while this join-time inheritance trigger ensures a new cell does not start from zero relative to everything the federation already knew before it arrived.

Prior Art Differentiation

Patent Claim