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Part 12: The Bitghost Debugger – A Proposal for Open-Source LLM Instrumentation

14 minute read

This is Part 12 — the final article — of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. Across tensors, transforme...

Part 11: Steering with Purpose – Predictable Edits, Tested Against Adversaries

14 minute read

This is Part 11 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 6 we captured. In Part 7 we compared. In...

Part 10: Finding the Edit Points – Causal Tracing at the Tensor Level

15 minute read

This is Part 10 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 6 we captured activations. In Part 7 we ...

Part 9: The Concept Cartographer – Mapping Meaning in High Dimensions

14 minute read

This is Part 9 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 6 we captured activations. In Part 7 we f...

Part 8: Untangling Superposition – Reading Features Instead of Neurons

15 minute read

This is Part 8 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 6 we built the activation logger. In Part...

Part 7: The Prompt Fingerprint – Do Similar Prompts Look Similar Inside?

15 minute read

This is Part 7 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 6 we built an activation logger — the tcp...

Part 6: Watching the Brain Fire – Building an Activation Logger for LLMs

14 minute read

This is Part 6 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. We have learned the language of tensors, traced t...

Part 5: Building Your First AI Security Lab – From Theory to Practice

13 minute read

This is Part 5 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. We have spent four articles building the conceptu...

Part 4: Mechanistic Interpretability – Reverse-Engineering the AI Brain

14 minute read

This is Part 4 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. We have covered the math (Part 1), the architectu...

Part 3: The Attack Surface Within – Where Tensors Meet Vulnerabilities

13 minute read

This is Part 3 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 1, we learned what tensors are. In Part 2...

Part 2: How LLMs Actually Think – Embeddings, Attention, and the Math Behind the Magic

13 minute read

This is Part 2 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. In Part 1, we built our foundation — understandin...

Part 1: Welcome to the Tensor World – A Security Engineer’s First Steps into Neural Network Mathematics

9 minute read

This is Part 1 of a 12-part series exploring the intersection of artificial intelligence and cybersecurity. If you’re a security professional who has ever lo...

The Ghosts in the Tensors – A New Frontier for InfoSec

2 minute read

In the world of information security, we are comfortable with logic. We understand overflows, injections, and misconfigurations because they follow a traceab...

Bit Ghost Security

Categories

research

Part 12: The Bitghost Debugger – A Proposal for Open-Source LLM Instrumentation

Part 11: Steering with Purpose – Predictable Edits, Tested Against Adversaries

Part 10: Finding the Edit Points – Causal Tracing at the Tensor Level

Part 9: The Concept Cartographer – Mapping Meaning in High Dimensions

Part 8: Untangling Superposition – Reading Features Instead of Neurons

Part 7: The Prompt Fingerprint – Do Similar Prompts Look Similar Inside?

Part 6: Watching the Brain Fire – Building an Activation Logger for LLMs

Part 5: Building Your First AI Security Lab – From Theory to Practice

Part 4: Mechanistic Interpretability – Reverse-Engineering the AI Brain

Part 3: The Attack Surface Within – Where Tensors Meet Vulnerabilities

Part 2: How LLMs Actually Think – Embeddings, Attention, and the Math Behind the Magic

Part 1: Welcome to the Tensor World – A Security Engineer’s First Steps into Neural Network Mathematics

The Ghosts in the Tensors – A New Frontier for InfoSec

ai-security

Part 12: The Bitghost Debugger – A Proposal for Open-Source LLM Instrumentation

Part 11: Steering with Purpose – Predictable Edits, Tested Against Adversaries

Part 10: Finding the Edit Points – Causal Tracing at the Tensor Level

Part 9: The Concept Cartographer – Mapping Meaning in High Dimensions

Part 8: Untangling Superposition – Reading Features Instead of Neurons

Part 7: The Prompt Fingerprint – Do Similar Prompts Look Similar Inside?

Part 6: Watching the Brain Fire – Building an Activation Logger for LLMs

Part 5: Building Your First AI Security Lab – From Theory to Practice

Part 4: Mechanistic Interpretability – Reverse-Engineering the AI Brain

Part 3: The Attack Surface Within – Where Tensors Meet Vulnerabilities

Part 2: How LLMs Actually Think – Embeddings, Attention, and the Math Behind the Magic

Part 1: Welcome to the Tensor World – A Security Engineer’s First Steps into Neural Network Mathematics

The Ghosts in the Tensors – A New Frontier for InfoSec