Protegrity vs Securiti
Govern AI Risk or Protect the Data Behind It
Securiti helps manage data and AI risk. Protegrity secures the sensitive data that powers AI, analytics, and compliance.
Securiti focuses on data intelligence, DSPM, privacy automation, and AI governance. Protegrity delivers data-layer protection with AI-ready anonymization, tokenization, quantum-safe encryption, and automated compliance enforcement across enterprise systems and GenAI pipelines.
Summary
Securiti helps organizations understand, govern, and manage data and AI risk across hybrid multicloud environments. Protegrity is built to protect sensitive data itself — ensuring it stays secure, usable, and compliant across production systems, analytics platforms, and AI environments.
Why enterprises choose Protegrity over Securiti
- Protects sensitive data at the data layer, not only through governance workflows
- AI-ready anonymization for GenAI, LLM, RAG, and analytics pipelines
- Tokenization and encryption that preserve data utility while reducing exposure
- Quantum-safe protection for long-term enterprise security
- Automated compliance enforcement across GDPR, HIPAA, CPRA, DPDP, PCI DSS, and more
- Turns data intelligence into real, enforceable data protection
Securiti or Protegrity for AI-Ready Data Protection? Here’s how they compare.
Migrate from Securiti to Protegrity
Platforms like Securiti help organizations govern data and AI risk. Protegrity goes further by protecting sensitive data at the source — so it remains secure, usable, and compliant wherever it moves.
With Protegrity you get:
Why Leading Enterprises Choose Protegrity
Enterprise Data Protection
Protegrity protects sensitive data at the source across production systems, analytics platforms, and AI pipelines. Securiti helps govern risk, while Protegrity enforces protection directly at the data layer.
AI-Ready Data Protection
Protegrity enables safe use of sensitive data across GenAI and analytics through anonymization and tokenization that preserve utility.
Automated Global Compliance
Protegrity embeds compliance enforcement directly into the data layer, helping enterprises meet GDPR, HIPAA, CPRA, DPDP, PCI DSS, and more.
Enterprise-Scale Architecture
Protegrity supports hybrid and multi-cloud environments, enabling organizations to scale AI and analytics without compromising security or control.
Proven ROI & Business Impact
- Reduced data risk through enforceable protection
- Accelerated GenAI and analytics adoption
- Lower compliance overhead through automation
- Reduced reliance on disconnected governance and security tools
Protegrity vs Securiti — Capability Comparison
| Category | Capability | Protegrity | Securiti |
|---|---|---|---|
| Core Outcome | Protects sensitive data while preserving usability for analytics and GenAI | Included | Limited Governance and control orchestration-led |
| Unified data intelligence, DSPM, privacy, and AI governance | Limited | Included | |
| AI & GenAI | AI-ready anonymization for GenAI, LLM, and RAG pipelines | Included | Limited |
| AI model discovery, AI governance, and AI risk visibility | Limited | Included | |
| Protection Methods | Field-level tokenization, encryption, masking, and anonymization | Included | Limited Primarily workflow, access, and control orchestration |
| Quantum-safe / crypto-agile data protection | Included | Not included | |
| Compliance | Built-in policy enforcement at the data layer | Included | Limited Strong privacy, governance, and reporting workflows |
| PrivacyOps, consent, DSR, and breach impact workflows | Limited | Included | |
| Enterprise Architecture | Hybrid, legacy, cloud, and multi-cloud protection for data in use | Included | Limited |
| Broad multicloud, SaaS, data, and AI visibility | Limited | Included |