Product Comparison

Protecto vs Protegrity

Move beyond database-level protection. Protect sensitive data where AI systems use it.

Protegrity secures data across databses and data warehouse. Protecto protects sensitive data inside AI workflows: prompts, RAG, agents, MCP calls, tools, responses, and controlled unmasking.

If you are building AI agents, Protegrity covers half the problem.

Summary

Protecto covers the full AI data path. Protegrity stops at the database.

Protecto protects sensitive data at the source and across every layer of your AI workflow. Protegrity stops at the database.

At-rest data protection: covers PII, PHI, and PCI in structured and unstructured data sources before data enters your AI workflow
AI runtime enforcement: governs data in prompts, RAG pipelines, MCP calls, and model responses — the layer Protegrity cannot reach
Context-Based Access Control (CBAC): identifies and controls sensitive business context that standard masking tools miss, including discount terms, legal strategy, and internal risk analysis
Context-preserving masking: maps the same entity to the same token across prompts, documents, and workflows so AI accuracy is not broken
GPTGuard MCP: applies Vault and CBAC at document ingestion and returns only policy-compliant chunks per user, agent, and task
API-first deployment: integrates in hours; customers have completed production POCs in under one week
SOC 2 and ISO 27001 certified; HIPAA BAA, GDPR, CCPA, PCI DSS, DPDP

How they compare

Protecto or Protegrity for AI data security?

Protegrity protects data in Snowflake, Databricks, and enterprise databases. Protecto does that too.

The gap is what happens next. In agentic AI, sensitive data does not stay in the database. It is retrieved into prompts, chunked into vector stores, passed between agents, and returned in model responses. That is where exposure actually happens — and Protegrity has no controls there.

Protecto governs both layers. Protegrity governs one.

Add to your stack

Add Protecto where your AI workflow needs runtime control

Protegrity covers the database layer. Protecto covers the database layer and every AI workflow layer above it.

AI runtime enforcement

Protecto applies data policy at the point where sensitive data enters and exits your AI system: before LLM calls, during document retrieval, at MCP boundaries, and in final responses.

Context-preserving masking

Protecto Vault handles entity masking for PII, PHI, and PCI with tokenization that preserves semantic context. The same entity maps to the same token every time, so AI accuracy is not broken. Controlled unmasking returns original values when policy permits.

CBAC for sensitive business context

CBAC identifies and governs sensitive context inside paragraphs that masking tools miss: pricing terms, legal strategy, HR reasoning, and internal risk analysis. Protegrity has no equivalent capability.

API-first integration

Protecto integrates directly into your AI workflow via API. No data warehouse migration. No months-long implementation. Customers are in production in days.

Why AI teams choose Protecto

Built for the data path AI teams actually ship

Entity masking built for AI accuracy

Protecto Vault handles PII, PHI, and PCI detection with context-preserving tokenization. Standard redaction breaks AI reasoning. Vault maintains accuracy by mapping the same entity to the same token across documents, prompts, and multi-turn workflows. Controlled unmasking returns original values when policy permits.

Context-Based Access Control (CBAC)

Sensitive business context does not fit into named entity lists. CBAC detects, removes, or rewrites sensitive content based on the current user, agent role, and task context — covering discount terms, legal strategy, and confidential narratives.

Protection across every AI layer

Protecto enforces policy at every point in the AI data flow: prompt input, RAG retrieval, MCP and tool boundaries, agent memory, and model responses. Protecto governs it, the layer Protegrity was not built to reach.

Secure document retrieval at scale

GPTGuard MCP is Protecto's secure retrieval layer for agent builders. It ingests documents, applies Vault and CBAC during ingestion, and returns only policy-compliant chunks. 13M+ long-form texts processed per day. 50M+ records handled.

Proven accuracy and deployment speed

Enterprise evidence for regulated AI workflows.

Superior F1 score vs AWS Comprehend and Microsoft Presidio in an independent benchmark by UT Dallas / DataXpert.
POC completed in under one week for a health analytics customer.
85% semantic accuracy retained after masking in an enterprise bank case study.
99% recall and 96% precision including Arabic-language content at a Middle East bank.
Outperformed Protegrity in a head-to-head POC for an enterprise bank.

Comparison

Protecto vs Protegrity capability matrix

For AI agents and production LLM systems, the core question is not only where sensitive data is stored. It is where sensitive data is processed, retrieved, passed, remembered, and returned.

Capability	Protecto	Protegrity
Architecture
Protects data in databases and data warehouses at rest	✓	✓
Protects data in AI workflows at runtime	✓	✕
Structured and unstructured data support	✓	✓
API-first integration	Hours	Weeks to months
AI layer protection
Protects data in LLM prompts	✓	✕
Protects data in RAG / document retrieval	GPTGuard MCP	✕
Protects data at MCP and agent boundaries	✓	✕
Per-user, per-agent, per-task runtime enforcement	✓	✕
Data protection
Context-preserving masking for AI accuracy	✓	✕
PII / PHI / PCI entity detection	✓	✓
Controlled unmasking and original value recovery	✓	✓
Context security
Context-Based Access Control (CBAC)	✓	✕
Protects sensitive business context in paragraphs	✓	✕
Compliance
SOC 2 certified	✓	✓
ISO 27001 certified	✓	✕
HIPAA BAA	✓	✓
GDPR, CCPA, PCI DSS, DPDP support	✓	✓
Deployment
SaaS	✓	✓
On-premises	✓	✓
Private cloud / air-gapped	✓	✓

Disclaimer: Claims about Protegrity are based on public website information current as of June 2026.

Coming from Protegrity?

Add Protecto to your AI stack. No data migration. No platform replacement.

Protecto integrates with your existing AI workflow via API and is production-ready in days, not months.

See Protecto in Action

Protect data across your entire AI stack, from database to prompt to response, without migration or platform replacement.

Building AI agents with sensitive data?

Protegrity stops at the database. Protecto governs the entire path, from where data sits to where AI uses it. No migration. No platform replacement. API-first and production-ready in days.