Generates learning signals based on execution outcomes to refine prompts, adjust agent configurations, or improve tool-selection strategies.
AI/ML / Multi Agent Refarch / Capabilities / DEV
Adaptive learning
CCC.MARefArc.CP11
Related Threats
| ID | Title | Description |
|---|---|---|
| CCC.MARefArc.TH07 | Adaptive-learning and continuous-learning exploitation | The adaptive-learning capability that refines prompts and configurations from execution outcomes can be steered by an adversary who systematically feeds misleading signals, gradually skewing agent behaviour when validation of learning inputs is inadequate. |
| CCC.MARefArc.TH30 | Agent memory and state poisoning | Injected instructions or corrupted reasoning patterns are written into agent short- or long-term memory, learned behaviours are corrupted over repeated exposure, state storage is attacked directly, and malicious instructions persist across sessions and users. |