A set of threat detection and containment mechanisms; no absolute immunity is implied.
87 · Immunity & Medicine
Immune system
in GenOS.
A set of threat detection and containment mechanisms; no absolute immunity is implied.
DEFINITION AND SCIENCE
What it means
in GenOS.
Biological immunity involves layered recognition and response mechanisms. A runtime immune system is a threat-detection and containment policy; it cannot guarantee complete detection or prevention.
Biological immunity layers recognition, containment and reassessment. The software analogy motivates staged threat handling rather than an assertion of complete protection.
A set of threat detection and containment mechanisms; no absolute immunity is implied.
A detector maps signals x to risk r(x); a response is permitted only if confidence, authority, and reversibility gates pass. False positive and false negative rates require measurement.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: Immune system
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Sense a threat signalINPUT
02Test detection and authorityMECHANISM
03Apply bounded responseCONDITIONAL OUTCOME
Current transition · Step 1Sense a threat signal
The modeled transition may proceed. Change the assumption and move through the stages to inspect the decision path.
PROCESS AND USE
How it works
at a glance.
Sense a threat signal
A set of threat detection and containment mechanisms; no absolute immunity is implied.
Test detection and authority
A detector maps signals x to risk r(x); a response is permitted only if confidence, authority, and reversibility gates pass. False positive and false negative rates require measurement.
Apply bounded response
Apply bounded response. Biological immunity involves layered recognition and response mechanisms. A runtime immune system is a threat-detection and containment policy; it cannot guarantee complete detection or prevention.
RUNTIME IMPLEMENTATION
What is connected,
and how far.
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.
Immune gates, quarantine and bounded response paths are executable and tested; detection is not complete or biologically equivalent.
Failure modes have not yet been separately cataloged for this entry; follow the source and evidence links before relying on the mechanism.
PRIMARY RESEARCH · MECHANISM LEVEL
The mechanism
behind the analogy.
A modification of Jerne's theory of antibody production using the concept of clonal selection
Frank Macfarlane Burnet · Australian Journal of Science 20, 67–69; original paper reprinted in Nature Immunology
Biological basis for adaptive recognition and memory; GenOS threat policies do not implement lymphocyte selection.
Open publication ↗Design of fault-tolerant computers
Algirdas Avižienis · AFIPS Fall Joint Computer Conference, 733–743
Original fault-tolerance design work. It motivates software failure analysis but does not validate a GenOS pathology label.
Open publication ↗Primary research describes the cited mechanism; specific technologies may instead cite their original technical documentation. These sources provide context and do not validate the GenOS implementation.
EVIDENCE AND LIMITS
Scope and validation boundaries
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.