Control automation
My mental model: evidence should be a living signal — not a quarterly scramble.
What this section is
A privacy-first, no-tracking collection of patterns, outlines, and building blocks for making controls testable, repeatable, and audit-defensible.
Reduce drift, make ownership explicit, and keep evidence ready.
Codify rules, automate checks, route exceptions, retain proof.
Topics
Start anywhere. Each topic has a dedicated page with “Back / Previous / Next” navigation.
Policy as Code
Codify control intent as enforceable policy (and test it) inside pipelines and platforms.
Infrastructure as Code guardrails
Shift guardrails left: prevent misconfigurations before they ship.
Cloud guardrails
Continuous posture checks across identity, network, logging, encryption, and data controls.
Evidence pipelines
Build repeatable evidence flows: sources → rules → exceptions → attestation → retention.
Drift detection
Detect configuration drift early and reconcile to a known-good baseline.
ISMS to ISO to CCM standard comparison (control-by-control)
A practical mapping layer across ISMS artifacts, ISO 27001 controls, and cloud control frameworks.
Self-healing controls
Controls that correct themselves (or trigger enforced rollback) instead of relying on screenshots and hope.
Technology risk regulations across 15+ countries
A non-exhaustive index of technology and operational resilience expectations across major financial regulators.
Auditing in the AI era
How assurance shifts when systems include LLMs, agents, and probabilistic outputs.
How to collaborate: Corrections, counterexamples, and reusable patterns welcome — privacy-first. See how to collaborate.