DataShield compared, vendor by vendor

Direct competitors

Usually complements, sometimes confused for alternatives

PII privacy, tokenization and DSPM vendors

Skyflow, Protecto, Strac and Enkrypt AI are listed above. These twenty round out the market. Discovery tools find the data. We are usually the layer that governs what agents do with it, and keeps the proof.

Agent identity, non-human identity and authorization vendors

Entra Agent ID is listed above. Against identity providers, we federate and add the evidence. Against policy engines and vaults, we are the built control plane that uses those building blocks.

Agent security, guardrails and MCP gateway vendors

Lakera, Zenity, Noma, MintMCP, the AI gateways and Vanta are listed above. Most of these detect, route or report. We authorize each call on tokenized data, and we keep the proof.

Data catalog, metadata and governance vendors

Ontology scans, profiles and classifies a live PostgreSQL source in place. It catalogs that source with a glossary, typed lineage and stewardship. These vendors go wider across the estate. We go deeper on what agents may do with a sensitive field, and we keep the proof.

Master data management and entity resolution vendors

Ontology is an agent-led master data management platform. An agent can interview a business user and derive the model. It then builds entity types, hierarchies and match configs. It can train them, battery-test them, and promote them. Matching is Fellegi-Sunter, with phonetic and edit-distance comparators, LSH blocking and five survivorship strategies. Golden records reach agents only through unconditionally masked views, behind a quality gate with a consent veto.

Data quality and observability vendors

These vendors watch pipelines and warehouses. Ontology profiles each governed dataset in 20 sections. It rolls a weighted trust score up by domain, spots drift, and keeps proof of what agents did with the data.

RAG, vector search and AI retrieval vendors

These vendors retrieve well. Ontology classifies sensitive fields first, before anything is embedded. Embeddings run locally, so nothing leaves your account. Retrieval then sits behind agent authorization and a verifiable audit chain.

Data platforms, pipelines and lakehouse vendors

These vendors move, transform and store data. Ontology is the governed data plane underneath. It sets what agents may read, how sensitive fields are guarded, and proof of what happened. Most teams run one of these and us.