Protegrity vs Oasis
Data Protection for the Agentic AI Era
Control access. Protect the data agents use.
Oasis focuses on non-human identities, service accounts, secrets, and AI agent access. Protegrity delivers AI-ready data protection that keeps sensitive data protected, anonymized, and compliant across agentic workflows, GenAI pipelines, analytics, and enterprise systems.
Summary
Oasis Security helps organizations discover, govern, and reduce risk across non-human identities, AI agents, service accounts, API keys, secrets, and certificates. Protegrity is built to protect the sensitive data those identities access — ensuring data stays secure, usable, and compliant across production systems, analytics platforms, and AI environments.
Why enterprises choose Protegrity over Oasis Security
- Protects the sensitive data that AI agents, service accounts, and applications can access
- Reduces exposure risk even when credentials, tokens, or machine identities are compromised
- Enables safe agentic AI workflows with anonymized, tokenized, and policy-protected data
- Secures data across GenAI pipelines, analytics platforms, production systems, and automated workflows
- Enforces privacy and compliance at the data layer, not only through identity governance
- Helps enterprises scale AI agents without expanding sensitive data exposure
Oasis Security or Protegrity for AI Agent Data Protection? Here’s how they compare.
Migrate from Oasis Security to Protegrity
Oasis Security helps teams understand which non-human identities, secrets, and AI agents may create access risk. Protegrity addresses what matters most when that access happens: keeping sensitive data protected, anonymized, and usable.
With Protegrity you get:
Why Leading Enterprises Choose Protegrity
Sensitive Data Protection for Agentic Workflows
Protegrity protects the data that AI agents, applications, service accounts, and automated workflows access. Even when access expands across systems, sensitive data remains anonymized, tokenized, and governed at the source.
AI data protection · GenAI compliance · AI-safe anonymization
Reduced Exposure from Identity Misuse
Non-human identities, secrets, and API tokens can create new paths to sensitive data. Protegrity reduces the blast radius by ensuring exposed credentials do not automatically mean exposed data.
Quantum-safe encryption · Post-quantum security · Future-proof data protection
Compliance Built into Data Use
Protegrity enforces privacy and compliance controls as data is accessed, shared, analyzed, or used in AI workflows. This helps enterprises maintain GDPR, HIPAA, CPRA, DPDP, PCI DSS, and other requirements across automated environments.
Compliance automation · Global data privacy · Regulatory alignment
Scalable Protection for AI Agents and Automation
As organizations scale agentic AI, APIs, and machine-to-machine workflows, Protegrity keeps sensitive data protected across hybrid, cloud, and enterprise systems — without slowing innovation or data utility.
Hybrid data protection · Enterprise-scale privacy · Multi-cloud security
Proven ROI & Business Impact
- Limits the blast radius when AI agents, service accounts, or API credentials are misused
- Enables safer agentic AI adoption with sensitive data protected before access
- Simplifies compliance across automated, machine-to-machine workflows
- Strengthens control over data exposure as non-human identities scale across the enterprise
Protegrity vs Oasis Security — Capability Comparison
| Category | Capability | Protegrity | Oasis Security |
|---|---|---|---|
| AI Agent Risk | Protects sensitive data accessed by AI agents, apps, and automated workflows | Included | Limited |
| Discovers and manages non-human identities, service accounts, API keys, secrets, and certificates | Limited | Included | |
| Data Exposure Control | Tokenizes, anonymizes, masks, and encrypts sensitive data before access occurs | Included | Limited |
| Reduces exposure risk if credentials, agents, or service accounts are misused | Included | Limited | |
| GenAI & Agentic AI | Enables safe GenAI and agentic workflows with protected, usable data | Included | Limited |
| Supports secure AI initiatives by limiting sensitive data exposure | Included | Limited | |
| Compliance Enforcement | Enforces privacy and compliance controls directly at the data layer | Included | Limited |
| Supports auditability when sensitive data is accessed, shared, or used in AI workflows | Included | Limited | |
| Enterprise Protection | Protects sensitive data across production, analytics, AI pipelines, and hybrid environments | Included | Limited |
| Provides visibility across non-human identities and credential sprawl | Limited | Included |