Learn the territory before you buy the map

Practical writing on data security for the GenAI era. Full library and downloads are rolling out; these are the pieces teams ask for most.

Guides

A step-by-step method for inventorying every AI tool in your company, scoring the risk, and deciding what to sanction.

Why legacy blocking fails, and how coach-first policies change violation rates without slowing engineering.

India's DPDP Act translated into concrete discovery, classification, and enforcement requirements.

Classification gates before embedding, retrieval policies, and output filtering, with reference architecture.

What flows through prompts in real organizations: the data types, the destinations, and the controls that actually work.

Posture tools fail at the handoff. Blast-radius ranking and owner attribution change who acts and how fast.

An incident tells you a file leaked. Lineage tells you what else was made from it and where the copies went.

Data security posture management, defined: how it differs from CSPM, DLP, and data catalogs.

How context-reading classifiers differ from regex and keyword matching, and why precision changes what you can automate.

Fingerprinting crown-jewel datasets so policies recognize your data specifically, not just data that looks like it.

Tell us what your team is wrestling with and we will put it on the research list.