Topic
SOC 2 evaluates how an organisation handles security, availability, processing integrity, confidentiality, and privacy. For engineering teams the practical burden is evidence: showing that controls operated over a period, not that they exist today. These articles cover building systems that generate that evidence as a by-product of running.
8 articles · Cybersecurity & Compliance

Audit season exposes every broken process in your compliance program. Your team searches across inboxes, ticketing systems, cloud consoles, spreadsheets, shared drives, and security tools. Someone asks for access review evidence. Nobody knows who owns it. A.

PE shops outsource data normalization to offshore shops because portfolio data lives in 14 different formats from 14 different management companies. Here is the custom LLM architecture that brings that work in-house — auditable, fast, and SOC 2-aligned.

AI workflows are the new audit weak point. Generic chatbots can't answer what auditors actually ask: who accessed this PHI, who triggered this action, where's the evidence. Here is the audit-readiness architecture we engineer for SOC 2, HIPAA, and CMMC.

AI builds break compliance audits when security is treated as a wrapper around the model. Here is the SDLC we run inside HIPAA, CMMC, and SOC 2 environments — controls baked into every phase from data ingestion to inference logging.

Your no-code "automations" were built for speed, not security. Here are the seven workflow automation sins quietly exfiltrating your data — and the custom n8n and Python pattern we use to plug every one of them.

Zapier is the gateway drug of automation. At fifty employees it stops being cheap and starts being a tax on growth. Here is how custom n8n and Python infrastructure replaces the duct tape without breaking your stack.

Public cloud LLMs are a black box you do not own. Here is why local LLMs hosted inside your VPC are the only way to combine 2026-grade AI horsepower with bank-level encryption and total data sovereignty.

Nearly half of GenAI users access models through personal accounts you cannot monitor. Here is the 3-step Shadow AI audit we run for federal, DIB, healthcare, and financial services teams — and the secure-by-design system that replaces it. SDVOSB Pending.
These articles describe how we build. If you have a live requirement, the Cybersecurity & Compliance page covers what an engagement looks like.
Cybersecurity & Compliance