See Tarique Mustafa's talk for EmTech AI at MIT Media Labs
Four generations of data classification, and why the fourth is not an upgrade of the third. Covers the dark data problem, eight systemic gaps shared across current products, the five forces making inline classification urgent, and the latent semantic analysis architecture that classifies meaning rather than pattern — with pre-built domain ontologies for HIPAA, PCI, FERPA, legal, pharma and government.
Classification that runs after data is stored cannot inform a decision about data already in motion. This executive white paper sets out the ten structural failures in current classification architectures, where the gaps open across AI, API, CI/CD, SaaS and insider channels, and what an autonomous See–Understand–Classify–Decide–Enforce loop replaces them with — including the dual topical and security classification model and a cost measurement framework.
Military Grade SOC with Cloud Scale Efficacy.
Promising Solutions from IBM, MicroFocus and GC Cybersecurity.
Military Grade SOC with Cloud Scale Efficacy.
Ever since the emergence of Data Leak Prevention (DLP) solutions, circa 1998, the industry has already been through three generations of DLP solutions, and is now seeing the emergence of the fourth-generation solutions…
Increasing Accuracy and Control Through Automation.