Safeguard your AI with Protecto AI guardrails, preventing sensitive data leaks and ensuring compliance
Our unique data masking technology keeps your data safe without compromising LLM accuracy.
Our custom models identify and redact sensitive data with pinpoint accuracy, preserving the context and meaning of your AI interactions.
Integrate our security guardrails into prompts, responses, or data ingestion for RAG/Agents
Enable role-based access to sensitive data in RAG/Agent. Grant authorized users access to original data when needed, maintaining control and security
Protecto safeguards your AI against sensitive data leaks. Ensure safety, privacy, compliance, and uphold your reputation.
Our AI Guardrails equips your AI applications with features needed to your customers' sensitive information
Empower your customers to confidently share sensitive data with your AI, backed by our robust security features
Instantly scans and filters PII/PHI, harmful content, and sensitive data, delivering the low latency your AI interactions demand
Filter out hate speech, profanity, and other harmful content before it reaches your users. Safeguard your brand reputation
Meet privacy regulations (HIPAA, GDPR, DPDP, CPRA etc.) requirements by tightly managing sensitive personal data in your AI
Use the data for AI training, and RAG/Agent development without exposing PII/PHI while maintain AI accuracy
Protecto is the only data masking tool that identifies and masks sensitive data while preserving its consistency, format, and type. Our easy-to-integrate APIs ensure safe analytics, statistical analysis, and RAG without exposing PII/PHI
Our turnkey APIs are designed for seamless integration with your existing systems and infrastructure, enabling you to go live in minutes.
Deliver data tokenization in real-time APIs and asynchronous APIs to accommodate high data volumes without compromising on performance
Deploy Protecto on your servers or consume it as SaaS. Either way, get the full benefits including multitenancy
Scale effortlessly and protect more data sources with our flexible, simplified pricing model
Don't sacrifice accuracy for security. Our data masking tool is the only one that preserves your hard-earned LLM accuracy
Not all guardrails preserve accuracy. Our AI guardrails are designed to maintain the accuracy and integrity of AI models while providing protection. By carefully balancing security with performance, the guardrails can mask or redact sensitive data without altering the context or meaning of the AI’s output.
AI guardrails can flag a range of inappropriate content, including hate speech, offensive language. It can mask PII, PHI, and any custom entities. Additionally, it can competitor mentions, and any other material that could pose a risk to your brand or violate ethical standards. This ensures that AI-driven features produce safe and reliable outputs.
Tokenization involves replacing sensitive data with a token or placeholder, and the original data can only be retrieved by presenting the corresponding token. On the other hand, Encryption is the process of transforming sensitive data into a scrambled form, which can only beread and understood by using a unique decryption key
No, tokenization is a widely recognized and accepted method of pseudonymization. It is an advanced technique for safeguarding individuals’ identities while preserving the functionality of the original data. Cloud-based tokenization providers offer organizations the ability to completely eliminate identifying data from their environments, thereby reducing the scope and cost of compliance measures.
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. Various types of structured and unstructured data that contains Personal Identifiable Information (PII), transaction data, Personal Information (PI), health records, etc. can be tokenized.
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.
