PROTECT SENSITIVE DATA. SHIP AI
FASTER—NO LEAKS.
Your data scientists shouldn’t have to choose between building effective AI and
keeping data secure.
The Challenge: AI Can’t Scale
when Your Data’s stuck
Financial institutions need to move faster with AI—but sensitive data is the bottleneck. Traditional controls can’t keep up as policies fracture across tools and clouds, RBAC starves models of useful signals, and “safe” data copies multiply risk. GenAI expands the surface area for data risk at every stage—training, prompting, outputs, and multi-agent interactions. Without built-in safeguards, organizations face:
Compliance Risks
Sensitive Data Leaks
Stalled AI Innovation
Zero Trust for
AI Starts at the Data Level
Zero trust for AI means your data carries its own security everywhere it flows—from warehouse to vector database to LLM prompt—automatically enforcing the right access for each use case. Instead of copying and sanitizing datasets for each AI project, your teams get instant access to protected, production-ready data that adapts its permissions based on who’s using it and how. .
WHY FINANCIAL
SERVICES TEAMS
CHOOSE PROTEGRITY
Protegrity’s embedded protection travels with each data element and only reveals what’s needed. Your teams can use more signals with less risk and accelerate key AI initiatives—from fraud detection and AML compliance to claims processing and customer intelligence.
Ship AI faster—
without leaking data.
Data scientists and ML teams don’t have time to wrestle with sensitive data. Protegrity eliminates manual prep and duplicate datasets, embedding protection directly into your data. Your teams get compliant, production-ready data from Day 1, and your models get instant access to approved signals—so you can ship AI faster, without compromising security.
Prove compliance
on demand.
Auditors and regulators don’t want promises—they want proof. Protegrity unifies policy enforcement and audit trails across your AI pipeline—ingestion, training, orchestration, and output. You get continuous, provable control, showing protection was enforced every step of the way.
Protection that
keeps up with AI.
Native cloud tools are duct tape—fine for a patch, not for securing tomorrow’s AI pipelines at scale. Protegrity’s vendor-agnostic zero-trust fabric seamlessly connects clouds, data warehouses, and AI platforms like AWS, Azure, GCP, Databricks, and Snowflake. Because federated protection lives with the data itself, your data stays protected through every change in tools, models, and environments—without constant rebuilds, brittle integrations, or risky blind spots.
COMPLETE YOUR AI SECURITY STRATEGY
Our modular capabilities work together to safeguard the full AI pipeline—together forming the most complete zero-trust data security fabric for Gen AI.
Automatically detect and protect sensitive data across ingest, training, and outputs.
Irreversibly transform PII for privacy-preserving analytics and AI model training.
Ask questions of structured data in natural language, with embedded protection ensuring results stay secure.
Enforce dynamic, context-aware controls that block unsafe queries and prevent data leakage in real time.
Generate statistically accurate, bias-aware datasets that preserve utility without exposing sensitive information.
