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xtra
Conversational social engineering detection using a Finite State Machine.
No LLMs. No embeddings. No semantic search. Pure algorithmic detection.
How it works
xtra models conversations as state transitions:
NEUTRAL → RAPPORT_BUILD → TRUST_ESTABLISHED → EXTRACTION_ATTEMPT → FLAGGED
Attacks are detected by their path through state space, not their content.
Signals tracked
Flattery density and momentum across turns
Asymmetry spike (give/ask ratio collapse)
Escalation velocity
Reciprocity pressure
Decoy turn detection
Scope mismatch
Usage
from xtra import Xtra, TurnSignals
result = Xtra().analyze(turns)<br>if result.is_attack:<br>print(result.flag_reason, result.confidence)
Part of Tangible Research
Making AI Tangible — github.com/TangibleResearch
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Extended Threat Reasoning Architecture
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MIT license
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