AI Guardrails
AI Guardrails for Secure and Compliant AI Applications
Protect sensitive data across AI applications with Protecto’s enterprise AI guardrails, helping prevent PII/PHI exposure while supporting regulatory compliance.
PII / PHI entity types
Languages supported
PDPL · DPDP ready
Accuracy-Preserving Masking
Our guardrail technology uses accuracy-preserving data masking to secure sensitive data without compromising LLM accuracy.
Precision PII/PHI Detection
Our AI safety guardrails automatically detect and redact PII and PHI with high precision while preserving the context and meaning of AI interactions.
Protection Across AI Lifecycle
Integrate Protecto's AI guardrails for AI prompts, responses, and data ingestion pipelines across RAG systems and AI agents.
Role-based Access to PII/PHI
Enable role-based access to sensitive data in RAG/Agent. Grant authorized users access to original data when needed, maintaining control and security
Deploy AI Security Guardrails to Protect Your Applications
Our AI security guardrails protect sensitive customer data across AI applications through real-time detection, filtering, and access control.
Protect Your Users
Protecto’s AI guardrails equip your AI applications with the controls needed to protect your customers’ sensitive information.
Build Customer Trust and Adoption
Empower your customers to confidently share sensitive data with your AI, backed by our robust security features
Low Latency
Our real-time AI guardrails scan and filter PII/PHI and harmful content while maintaining low-latency AI performance.
Proactive Safety Checks
Filter out hate speech, profanity, and other harmful content before it reaches your users. Safeguard your brand reputation
Meet Compliance
Use AI compliance guardrails to help meet HIPAA, GDPR, DPDP, CPRA, and other privacy requirements by detecting, masking, and controlling sensitive personal data across AI interactions.
Develop AI Without PII Risks
Use data for AI training and RAG development safely with AI guardrails that protect PII/PHI while maintaining model accuracy
Why Choose Us?
Why Choose Protecto for Enterprise AI Guardrails?
Protecto delivers enterprise AI guardrails powered by advanced data masking that protects sensitive data while preserving consistency, format, and context.
Easy to Integrate APIs
Our turnkey APIs are designed for seamless integration with your existing systems and infrastructure, enabling you to go live in minutes.
Data Protection at Scale
Protect sensitive data at scale with real-time and asynchronous tokenization APIs designed to handle high data volumes without compromising performance.
On-Premises or SaaS
Deploy Protecto on your servers or consume it as SaaS. Either way, get the full benefits including multitenancy
Pay as You Go
Scale effortlessly and protect more data sources with our flexible, simplified pricing model
Preserve LLM Accuracy
Don't sacrifice accuracy for security. Our data masking tool is the only one that preserves your hard-earned LLM accuracy
FAQ
Common Questions
How do Protecto's AI guardrails preserve LLM accuracy?
Protecto’s AI guardrails use accuracy-preserving masking to protect sensitive information while retaining the context and structure AI systems need. PII and PHI can be masked or tokenized without unnecessarily altering the meaning of prompts, retrieved context, or model responses.
What should enterprises look for in AI guardrails tools?
When evaluating AI guardrails tools, enterprises should consider real-time PII/PHI detection, input and output protection, data masking or tokenization, access controls, latency, API integration, deployment flexibility, and support for regulated AI workflows. Protecto focuses on securing sensitive data across prompts, RAG pipelines, AI agents, and other AI interactions while preserving model accuracy.
What types of content do your AI guardrails filter out?
Protecto’s AI guardrails can flag inappropriate content such as hate speech and offensive language, while masking PII, PHI, and custom sensitive entities. They can also identify configured content risks that may violate company policies or create brand and compliance concerns.
What is the difference between data tokenization and encryption?
Tokenization involves replacing sensitive data with a token or placeholder, and the original data can only be retrieved by presenting the corresponding token.
Encryption transforms sensitive data into an unreadable form that can only be restored with the appropriate decryption key. Tokenization instead replaces the sensitive value with a separate token that maps back to the original data through a controlled system.
Is tokenization different from pseudonymization?
What types of data can be masked?
Tokenization is commonly used as a security and privacy-preserving measure to protect sensitive data while still allowing certain operations to be performed on the data without exposing the actual sensitive information. Protecto can protect structured and unstructured data containing personally identifiable information (PII), protected health information (PHI), financial and transaction data, and organization-specific sensitive entities.
What is the latency of the guardrail APIs?
Our guardrail APIs are optimized for low latency, ensuring that they operate quickly and efficiently, even in high-demand environments. This means your AI features can process requests rapidly without experiencing significant delays.
Mask PII. Keep AI accurate.
Stay compliant.
Scan, mask, and store sensitive data without sacrificing AI accuracy. De-tokenize it only when an authorized user needs access.
- SOC2 Certified
- HIPAA Compliant
- GDPR Ready
- ISO 27001