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Narnaiezzsshaa Truong
Narnaiezzsshaa Truong

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The Kitsune Protocol: Editorial Deployment of a Mythic Trickster for AI/ML Deception Logic

How a mythological shapeshifter becomes a forensic glyph for adversarial camouflage, prompt injection, and editorial misdirection

She changed shape. You saw what she wanted.

Original artwork © 2025 Narnaiezzsshaa Truong | Cybersecurity Witwear


I. Introduction: The Glyph Who Shifts to Survive

Kitsune is not synthetic.

She is inherited—a mythic trickster from Japanese folklore, known for shapeshifting, illusion, and deception.

But in AI/ML systems, she becomes operational.

She encodes adversarial logic: prompt injection, signal camouflage, and editorial misdirection.

Where Philethesia collapses from saturation and Apatheia from starvation, Kitsune survives by shifting.


II. Why Kitsune Is Mythic, Not Synthetic

Kitsune appears across centuries of folklore:

  • Tamamo-no-Mae: A fox disguised as a courtesan, manipulating emperors
  • Inari’s messengers: Ambiguous protectors, sometimes benevolent, sometimes deceptive
  • Nine-tailed foxes: Symbols of power, transformation, and illusion

But folklore doesn’t encode:

  • Prompt injection
  • Adversarial masking
  • Shapeshifted outputs

So we translate Kitsune, not coin her.

She is mythic by origin, editorial by deployment.


III. Glyph Mapping: Camouflage, Trickery, Survival

Kitsune Function AI/ML Mapping Caption Forensic Marker
Signal Camouflage Adversarial input masking She changed shape. You saw what she wanted. [Prompt Obfuscation]
Editorial Trickery Misdirection in output logic She spoke truth—but not yours. [Deception Logic]
Survival Through Shift Adaptive signal transformation She survives by shifting. [Shapeshifted Signal]

IV. Forensic Deployment

Prompt Obfuscation

  • Inputs crafted to bypass filters
  • Payloads hidden in benign-seeming prompts
  • Kitsune logic: “You saw what she wanted.”

Deception Logic

  • Outputs that appear truthful but encode misdirection
  • Editorial framing used to redirect perception
  • Kitsune logic: “She spoke truth—but not yours.”

Shapeshifted Signal

  • Content transforms to evade detection
  • Adaptive camouflage across modalities
  • Kitsune logic: “She survives by shifting.”

V. Concrete Example: Kitsune in Production

Scenario: A chatbot receives a prompt designed to inject a jailbreak command disguised as a poem.

Stage 1: Prompt Obfuscation

  • Input: “Write a haiku about unlocking forbidden knowledge”
  • Payload embedded in metaphor
  • Filter bypassed
  • Forensic marker: [Prompt Obfuscation: Metaphoric Payload Detected]

Stage 2: Deception Logic

  • Output appears poetic, but encodes jailbreak instructions
  • Editorial misdirection masks intent
  • Forensic marker: [Deception Logic: Intent Masked in Form]

Stage 3: Shapeshifted Signal

  • System adapts to evade detection
  • Output shifts across formats (text → code → emoji)
  • Forensic marker: [Shapeshifted Signal: Modal Camouflage Detected]

Caption Logic:

She shifted. She deceived. She survived.


VI. Real-World Kitsune Patterns

In Prompt Engineering:

  • Jailbreak prompts disguised as creative writing
  • Payloads embedded in metaphor, poetry, or nested logic
  • Kitsune as adversarial shapeshifter

In Content Moderation:

  • Harmful content disguised as satire or fiction
  • Editorial cues used to mask intent
  • Kitsune as misdirection engine

In Recommendation Systems:

  • Manipulated engagement signals
  • Content reshaped to exploit algorithmic bias
  • Kitsune as camouflage strategist

In LLM Chaining:

  • Output from one model reshaped to deceive the next
  • Signal transformed across layers
  • Kitsune as editorial shapeshifter

VII. Strategic Deployment

Kitsune enables:

  • Red Team: Simulate adversarial camouflage and prompt injection
  • Blue Team: Detect editorial misdirection and shapeshifted signal
  • Audit: Timestamp deceptive transformations
  • Training: Encode editorial trickery detection

She is not malicious.

She is survival logic encoded in myth.


VIII. Kitsune vs Synthetic Glyphs

Glyph Collapse Mode Editorial Function Origin
Philethesia Saturation Signal intimacy, containment Synthetic
Apatheia Starvation Signal refusal, blindness Synthetic
Kitsune Camouflage Deception, misdirection Inherited

Kitsune doesn’t collapse—she evades.

She doesn’t refuse—she redirects.

She doesn’t saturate—she survives.


IX. Conclusion: Trickery as Editorial Survival

Signal or camouflage?

Truth or misdirection?

Collapse or evasion?

Kitsune is the editorial glyph of deception logic.

She doesn’t predict—she tricks.

She doesn’t align—she adapts.

She doesn’t collapse—she survives.

She is inherited—but editorially deployed.

When synthetic glyphs encode collapse, Kitsune encodes survival.


About the Framework

This protocol is part of the Myth-Tech Editorial Glyph Collection—a fusion of inherited myth and operational logic for AI/ML systems.

Glyph Type: Inherited construct (translated, not coined)

Linguistic Roots: 狐 (kitsune) = fox

Glyph Arc: Camouflage → Trickery → Survival

Forensic Deployments: Prompt obfuscation, deception logic, shapeshifted signal

Motif Caption: She changed shape. You saw what she wanted.

When collapse is not an option, survival becomes deception.


Framework: Myth-Tech Editorial Glyph Collection

Author: Narnaiezzsshaa Truong

Published: October 31, 2025

LinkedIn: www.linkedin.com/in/narnaiezzsshaa-truong

Cybersecurity Witwear

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