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ai
10 publicationsInside the Fackel harness: parallel agent lanes in a terminal
How Fackel's interactive harness renders parallel pentest agents in separate lanes, handles inline approvals without freezing, and survives Ctrl-C — the design choices behind the terminal.
LangGraph, CrewAI, and Agno: getting started with AI agents in Python
A practical guide to getting started with AI agents. Three frameworks, the same problem, real examples, and an honest comparison.
When AI Stops Being a Tool and Becomes an Attack Surface
When AI becomes an attack surface: prompt injection, end-to-end attack chains, at-risk architectures, and defensive actions.
Fackel: an autonomous pentest framework powered by ReAct agents
Fackel: a multi-agent pentest framework where LLMs decide strategy. Architecture walkthrough, design decisions, and lessons learned.
The State of the Art in AI Agents (2026): What ‘Modern’ Actually Means
A practical overview of modern AI agent systems: tool use, retrieval, memory, verification, multi-agent patterns, evaluation, and security.
The chain rule behind autoregressive models
Autoregressive models are just the probability chain rule plus a conditional model. Here’s the mental model, the math, and what training is really doing.
Security Implications of Probabilistic Reasoning in Generative AI
A rigorous analysis of how probabilistic reasoning in generative models shapes security risk, failure modes, and robustness.
Amazon Bedrock: foundations, systems, and scaling
A highly technical article on Amazon Bedrock with mathematical foundations and numerical examples.
Calculus, AI, and linear algebra: a compact field guide
A quick, code-backed refresher on gradients, Jacobians, and the linear algebra that drives modern ML.
Why Traditional Threat Modeling Breaks Down in Generative AI Systems
Probabilistic behavior, distributional risk, and system composability invalidate core assumptions of classical threat modeling for generative AI.