Data Classification Guide
A research guide explaining what data classification is, why it matters, how it works, and how organizations can implement it effectively.
I design and operate enterprise DLP and data protection deployments - endpoint, network, and CASB. I know the full product landscape: classification engines, discovery logic, policy enforcement, and vendor capability mapping. I also advise teams evaluating DLP, data classification, and data discovery products through requirement analysis, vendor capability mapping, PoC scope design, and fit recommendations based on real deployment constraints.
A compact view of the work: from data protection controls to the infrastructure and enablement practices that make them usable.
Deep DLP, data classification, data discovery, and CASB knowledge; able to read requirements, compare vendor capabilities, recommend product fit, and identify validation points.
Comfortable across Windows/Linux services, directory and network foundations, security data platforms, firewall flows, and packet-level troubleshooting.
Bridges hands-on implementation with scripting, documentation, customer enablement, and fast side-project prototyping.
Good technical work starts with analysis, research, evidence, and a clear definition of what needs to be solved.
Inspection is safer when the protocol, queue, timeout, and failure path are understood before rules are added.
Security systems need predictable behavior during load, outages, updates, and partial failures.
A practical map of the areas I use while building, deploying, and troubleshooting security controls.
DLP families, classification/discovery, CASB controls, mail gateway behavior, requirement review, and product fit analysis.
Windows domain services, Linux and Windows servers, MongoDB and ElasticSearch clusters, hardening, recovery, and troubleshooting.
Packet analysis, protocol tracing, Bash and PowerShell tooling, customer enablement, documentation, and rapid prototypes.
Short technical writing on data protection products, infrastructure troubleshooting, protocol analysis, and security engineering practices.
A research guide explaining what data classification is, why it matters, how it works, and how organizations can implement it effectively.
A practical guide for managing Nginx logs in Docker using file-based logging, host logrotate, stdout/stderr forwarding, and Docker log driver settings.