Marcus Leung-Whitfield

Each detection architecture reveals different data risks while leaving specific exposures unguarded.

Knowing where sensitive data lives across clouds is the first step to securing it.

A data inventory is the foundation for protecting sensitive information stored in Slack and Teams.

Thieves quietly assemble stolen secrets one small piece at a time.

Classification gaps leave security controls blind to the data that matters most.

Static rules miss most insider incidents because they can't catch what nobody anticipated.

Architectural gaps in detection tools create false positives, not miscalibrated rules.

Most sensitive data now escapes IT oversight through approved apps.

Copilot has made finding sensitive data faster, exposing gaps in how organizations protect it.

Each DLP layer was built for a different era and leaves dangerous blind spots in modern work.

Protect what matters most instead of chasing coverage volume.

What happens when security policies become rules that don't cover every channel.