Secure Steps · field notes by Daniel Begimher

Field notes from the frontier of AI security.

An engineer building, breaking, and evaluating AI security systems — writing the practical version in public. Agents, prompt injection, RAG, evaluation, and developer-first tooling.

200k+
ASH monthly clones
arXiv benchmark · author
agentic attack trees · ATT&CK
23+
certs · CISSP / OSCP / CKS
01 / START HERE

Four paths in

Clear routes for first-time visitors — no empty archives, no guessing.

Pillar

AI Security

Agent evaluation, prompt injection, RAG security, GenAI threat modeling, and AI Leak Watch.

Future pillar

Cloud & AppSec

Secure SDLC, AWS security, CI/CD, container security, and AppSec programs.

Open source

Tools & Research

ASH, AI Leak Watch, SIR-Bench, publications, and talks gathered into one index.

People

Career Guidance

Beginner-friendly security career advice grounded in real proof of work.

02 / SELECTED WORK

Built & measured

Public-safe work across AI security, open source, and applied research.

All work
Open source · developer-first

Automated Security Helper

One CLI command runs SAST, SCA, IaC, secret, and SBOM scanners — nine open-source tools across your code, dependencies, containers, and infrastructure, in local dev or CI/CD.

200k+ monthly clones · 650+ GitHub stars

Agent evaluation · research

SIR-Bench

An open benchmark that tests whether an AI incident-response agent actually investigates — finding new evidence and using tools — instead of just rephrasing the alert. Published on arXiv.

Threat modeling

ThreatForest

Agentic attack trees from source code, mapped to MITRE ATT&CK techniques, with mitigations for review. Selected for a Black Hat USA 2026 briefing.

AI research

AI Leak Watch

Public dashboard tracking potentially exposed AI provider keys and AI-era secret leakage risk.

03 / WRITING

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// no employer endorsement implied — opinions are my own