Trust in AI Starts with Trust in Data
Completing Your Enterprise AI Stack
Enterprise data platforms store, process, and analyze data. Traditional cybersecurity tools protect perimeters, infrastructure, and access. Both are necessary — but neither was designed to govern how data is interpreted, reasoned over, and consumed by AI.
The Data-Centric Difference
Precision and
Trust by Design
AI systems must balance precision and trust. Precision depends on access to real data and context, while trust depends on strong protection, governance, and verification.
Protegrity delivers both — balancing the need to extract data value with the responsibility to manage data risk.
Together, embedded and semantic controls create a unified control plane for AI. Data stays protected, interactions stay governed, and AI systems operate with the precision enterprises need and the trust they require.
Embedded controls
Protect data at the source, before it enters analytics pipelines, AI models, or agentic workflows — transforming data to preserve structure and utility without exposing raw sensitive values.
Semantic controls
Govern how data is accessed, interpreted, and used by AI. Policies are enforced across inputs, reasoning, and outputs —constraining behavior and ensuring explainability and auditability.
Why Enterprises
Choose Protegrity
A data-centric foundation for secure, scalable enterprise AI
Built for Multi-Platform Environments
Support all clouds, data platforms, and AI stacks — without requiring data duplication, re-architecting, or vendor lock-in.
Security and Governance That Travel With the Data
Controls applied directly to the data, not tied to a specific system or tool — so protection and policy persist wherever data flows.
Centralized Policy, Federated Enforcement
Security and governance defined once and enforced consistently across distributed systems — without slowing teams or fragmenting control.
Measured Impact
at Enterprise Scale
Our customers don’t just reduce risk — they change what’s possible with their data. Protegrity delivers measurable results that accelerate AI adoption and improve business outcomes while reducing costs and minimizing exposure.
Faster Time to Value for AI
- Use sensitive data immediately — without manual approvals
- Eliminate security-driven delays or rework
- Move AI into production faster
Increase in Data Sharing
- Share data broadly without copying it
- Enable cross-team and partner collaboration
- Maintain control without slowing access
Return on Investment
- Reduce audit work across downstream systems
- Avoid bringing AI into compliance scope
- Adopt new systems and tools with less overhead
Explore Protegrity’s
Fit-for-Role Product Editions
Protegrity offers editions that support each stage of AI maturity — from early experimentation to governed, enterprise-scale deployment — all built on the same data-centric security foundation.
AI Developer Edition
Build and test secure AI workflows
Designed for developers and data scientists experimenting with analytics and AI workflows. Enables safe use of sensitive data without embedding security logic or exposing raw data.
- Secure local and cloud-based AI experimentation
- Safe access to sensitive data during development and testing
- Rapid iteration without compliance friction
AI Team Edition
Govern agents and secure departmental data
Designed for data and platform teams enabling analytics, AI, and ML. Enables real-time access to sensitive data with consistent policy enforcement and accountability.
- Secure data sharing across teams and environments
- Consistent policy enforcement without slowing delivery
- Scaling AI initiatives beyond individual developers
AI Enterprise Edition
Secure data across all topologies and systems
Designed for enterprises running AI across production systems, data platforms, and regulated environments. Enables centralized governance with federated enforcement to support secure, auditable AI at scale.
- Enterprise-wide policy definition and enforcement
- Secure production AI pipelines, agentic workflows, and RAG
- Regulatory, audit, and data sovereignty requirements
Industry Leaders
Trust Protegrity
THE LATEST FROM PROTEGRITY
Customer Intelligence Without a Center: Orchestration + Governance at Decision Time
CMSWire’s latest feature explores why many organizations are moving beyond CDP-centric stacks toward “decision-time” customer intelligence—where identity, live signals, and AI inference are assembled in the moment. The article argues…
Protegrity Perspective on ChatGPT Ads: Malvertising and Keyword Triggered Attacks
AI chat is quickly becoming where people go for answers—and advertisers (and attackers) are paying attention. In its Jan 23, 2026 report, “Will ChatGPT become vulnerable to malvertising?”, Moonlock Lab…
Instagram Reset Email Surge Exposes Identity Blind Spots — Protegrity Perspective
Enterprise Security Tech reports that a spike in Instagram password reset emails left users questioning whether accounts were compromised, even as Meta stated there was no breach and attributed the…