AI-Ready Enterprise Data Protection
See how Protegrity compares to leading data security, DSPM, governance, and privacy platforms. Evaluate capabilities across AI-ready data protection, data anonymization for GenAI, compliance automation, and quantum-safe encryption – so your teams can securely scale analytics and AI. Select a competitor below to veiw a side-by-side comparison.
Protegrity vs. Aurascape
Aurascape helps with metadata governance and visibility. Protegrity adds data-layer protection—tokenization, encryption, and anonymization—so sensitive data stays usable for analytics and GenAI.
Protegrity vs. Bluemetrix
Bluemetrix supports masking/tokenization for analytics. Protegrity extends protection across apps, pipelines, AI workflows, and hybrid environments—with centralized policy and auditable controls.
Protegrity vs. Cyera
Cyera identifies where sensitive data lives and who can access it. Protegrity goes further by protecting the data itself—so risk is reduced through enforcement, not just visibility.
Protegrity vs. Immuta
Immuta governs access and policy decisions. Protegrity complements governance with persistent field-level protection—so data stays protected as it’s copied, shared, or used in AI pipelines.
Protegrity vs. Privitar
Privitar is strong in de-identification workflows. Protegrity adds runtime, policy-driven protection—tokenization, masking, encryption, anonymization, and synthetic data—designed for enterprise scale and AI usage.
Protegrity vs. Protecto
Protecto focuses on redaction and prompt-layer privacy controls. Protegrity protects sensitive data across the full lifecycle—sources, pipelines, warehouses, apps, and AI—using field-level controls and auditable policy.
Protegrity vs. Skyflow
Skyflow centralizes sensitive fields in a vault model. Protegrity protects data in place across hybrid and multi-cloud architectures—without introducing a new system of record or changing workflows.
Protegrity and Databricks
Databricks provides analytics and AI compute. Protegrity adds the missing layer: field-level tokenization, encryption, and policy enforcement so regulated data can be used safely in notebooks, pipelines, and GenAI.
Why Leading Enterprises
Choose Protegrity
AI-First Data Security
Protect sensitive data at the field level for analytics, AI, and agentic workflows—without exposing raw values.
Quantum-Safe Encryption
Future-proof cryptography options that help mitigate long-term risk as threat models evolve.
Global Compliance Automation
Consistent enforcement across workflows and regions—supporting GDPR, HIPAA, PCI and more.
Enterprise-Wide Scalability
Proven at scale across cloud, on-prem, and hybrid architectures—without performance compromise.