Prevent data leaks, privacy violations, and compliance risks in AI automation. Protecto is the only guardrail that secures sensitive data without breaking LLM accuracy.
Protecto enabled us to deliver data security, privacy, and compliance for our AI features at scale across 3,000+ enterprise clients, strengthening customer trust in our AI automation solutions.
– SVP Product, Automation Anywhere
How it works?
Our AI-powered engine identifies PII, PHI, PCI and other sensitive information across your datasets. Get full visibility into what needs protection.
We use intelligent tokenization to replace sensitive data with secure tokens while preserving its structure for AI models.
Implement role-based access (RBAC) and encryption for data at rest and in transit. Tailor data access for teams while meeting GDPR, HIPAA, and other regulations.
benefits
Implement robust AI guardrails to enhance AI data security and privacy, minimizing risks in your Gen AI applications
Safeguard sensitive information with advanced data masking techniques.
Preserve data utility and context while protecting privacy to ensure your AI models perform optimally.
Achieve seamless compliance with GDPR, HIPAA, and other regulations
Build user trust and accelerate adoption of your AI apps and features
Secure sensitive Information, ensure privacy, and achieve compliance across prompts, responses and context data
Securing 3,000+ Companies’ Data Privacy in AI-Driven Automation
Building a $25M+ Healthcare Data Product with HIPAA-Compliant De-identification
Why Protecto?
Data masking hurts your accuracy. Protecto is the only guardrail that preserves the context and delivers high accuracy. RARI is a metric that measures how much data masking impacts LLM response accuracy. Protecto consistently scores RARI of 99% vs. 70% for data masking tools.
features
Tailor-made AI data protection for your Gen AI applications
Utilize our cutting-edge AI models for robust and accurate identification of PII and other sensitive data.
Define and identify unique data patterns specific to your business needs for better data protection.
Apply various data masking techniques tailored to your specific security and privacy requirements.
Securely tokenize sensitive data using entropy-based methods like Anonymization and Pseudonymization, safeguarding privacy while enabling some analytics
Implement granular access controls based on user roles and data attributes to enhance security.
Integrate data protection features seamlessly into your existing systems with Turnkey API options.
Get audit reports on scan, mask, and unmask activities. Helps to meet your compliance needs.
Achieve seamless compliance with GDPR, HIPAA, and other regulations
Achieve seamless compliance with GDPR, HIPAA, and other regulations
Deploy Protecto on your servers or consume it as SaaS. Either way, get the full benefits including multitenancy.
Use sync and async APIs to integrate with any part: preprocessing, context data, prompt, or response.
Protecto's architecture scales to process billions of rows or runs lightweight on-edge devices, offering versatility and efficiency.
Testimonials
AI data guardrails are security and privacy controls that protect sensitive data like PII and PHI in AI workflows, ensuring safe and compliant use of LLMs and GenAI systems. They prevent unauthorized access, data leaks, and regulatory violations during model training and inference.
Protecto’s AI data guardrails use context-preserving tokenization and masking to protect data without degrading LLM accuracy.
Enables compliance with HIPAA, GDPR, and CCPA while maintaining model performance and utility.
Ideal for enterprises integrating AI into sensitive environments like healthcare and finance.
Data guardrails are essential for preventing sensitive data leaks, managing compliance risks, and maintaining trust in GenAI and LLM-powered applications. They protect PII, PHI, and confidential information from being exposed through prompts, completions, or internal processing.
Protecto enforces privacy compliance while preserving context for accurate LLM responses.
Supports HIPAA, GDPR, CCPA compliance, and prevents regulatory penalties.
Enables secure GenAI use in high-risk sectors like banking, insurance, and healthcare.
Protecto’s AI data guardrails use context-preserving tokenization and masking to protect data without degrading LLM accuracy.
Enables compliance with HIPAA, GDPR, and CCPA while maintaining model performance and utility.
Ideal for enterprises integrating AI into sensitive environments like healthcare and finance.
Protecto secures AI workflows by identifying and masking sensitive data like PII and PHI before it reaches LLMs, using advanced AI-driven tokenization that maintains data structure and meaning. This ensures AI models can operate effectively without exposing private information.
Protecto’s Privacy Vault supports both structured and unstructured data, with format-preserving and reversible pseudonymization.
Proven to reduce data risk without impacting LLM output quality—ideal for use cases like medical billing, chatbots, and document processing.
Enables secure integration across SaaS, on-premise, and cloud environments.
Unlike traditional data masking tools that often degrade data quality and model accuracy, Protecto preserves semantic context and data format, ensuring LLMs deliver accurate, relevant outputs. It’s built specifically for GenAI and unstructured data.
Protecto outperforms AWS Comprehend and Microsoft Presidio in PII/PHI detection accuracy.
Supports controlled unmasking, batch processing, and scalable deployment for enterprise AI pipelines.
Tailored for LLM security, privacy compliance, and high-throughput environments.
No, Protecto is designed to retain the context and meaning of masked data, preserving the accuracy and relevance of LLM outputs. Its AI-optimized tokenization ensures that privacy protections do not compromise model performance.
Achieves high Response Accuracy Retention Index (RARI), maintaining LLM utility while securing sensitive data.
Ideal for applications where maintaining insight quality is critical—like healthcare diagnostics, financial advisory, and intelligent agents.
Protecto’s entropy-based tokenization replaces sensitive data with context-aware tokens that retain structure and meaning, making them usable by LLMs while protecting privacy. These tokens are non-reversible without secure access, reducing the risk of data exposure.
Tokens are unique, format-preserving, and reversible only through Protecto’s secure systems.
Enables privacy-preserving AI workflows with minimal disruption to accuracy and utility.
Yes, Protecto uses advanced AI models to detect and classify sensitive data, including PHI and PII, across unstructured formats like clinical notes, chat logs, and documents. It supports custom patterns and regulatory definitions to meet varied compliance needs.
Benchmarked to outperform AWS Comprehend and Microsoft Presidio in PII/PHI detection across accuracy, recall, and F1 score.
Ideal for healthcare, banking, and enterprise AI applications where unstructured data is prevalent.
Yes, Protecto is built to meet global data privacy regulations including HIPAA, GDPR, and CCPA. It enforces security controls like role-based access, pseudonymization, and detailed audit trails to help enterprises achieve and maintain compliance.
Supports Safe Harbor de-identification under HIPAA and ensures data residency compliance for local regulations.
Continuously updated to align with evolving privacy laws and enterprise governance policies.
Protecto safeguards Protected Health Information (PHI) by accurately identifying and masking it across structured and unstructured healthcare data, such as clinical notes and billing records. It ensures HIPAA compliance while preserving data quality for AI analytics and decision-making.
Used in healthcare RAG systems to deliver accurate, privacy-preserving recommendations and reduce overbilling risks.
Supports both anonymization and pseudonymization, enabling flexible, compliant AI deployment in healthcare environments.
Protecto offers robust audit trails and real-time reporting features that track data access, masking activities, and user permissions. These tools help enterprises meet regulatory requirements and demonstrate continuous compliance.
Cuts compliance report generation time from weeks to hours with automated tracking.
Supports granular visibility into high-risk data exposure and user actions for HIPAA, GDPR, and CCPA audits.
No, Protecto works without modifying or retraining your LLMs. Its masking and tokenization are model-agnostic, preserving data utility so AI systems can function as intended without performance degradation.
Seamlessly integrates into existing LLM workflows and pipelines.
Saves time and cost by avoiding retraining cycles while maintaining strong privacy compliance.
Yes, Protecto is designed for easy integration into existing LLM and GenAI pipelines using APIs, SDKs, and native connectors. It supports popular platforms like Snowflake, Databricks, Azure, and private cloud environments.
No-code, agentless setup reduces deployment time from weeks to hours.
Compatible with RAG, chatbots, and AI assistants for seamless data protection.
Yes, Protecto is available both as a cloud-based API and an on-premise deployment. This flexibility allows organizations to meet data residency, security, and compliance needs across regulated industries.
Supports VPC, private cloud, and on-premise environments for full control over data privacy.
Ideal for enterprises needing localized AI infrastructure or strict data sovereignty.
Industries handling sensitive data—such as healthcare, finance, insurance, legal, and SaaS—gain the most from Protecto’s AI data guardrails. These sectors require strict privacy compliance, secure data processing, and high AI accuracy.
Proven use cases include PHI masking in healthcare, PII protection in banking, and secure GenAI deployment in SaaS platforms.
Supports GDPR, HIPAA, CCPA, and financial regulations like GLBA.
Protecto secures AI agents and copilots by identifying and masking sensitive data in prompts and responses, preventing data leakage and ensuring compliance. It supports role-based access, inappropriate content filtering, and audit logging for enterprise control.
Used by global RPA and SaaS companies to build secure, privacy-first AI frameworks.
Supports multi-tenant architectures and low-latency processing for real-time AI interactions.
Yes, Protecto supports low-latency, high-throughput data masking for real-time AI use cases like chatbots, virtual assistants, and transaction monitoring. It ensures data protection without slowing down LLM performance.
Features include asynchronous processing, caching, and streaming integrations like Kafka and Spark.
Enables privacy-first, real-time decision-making across industries.
Protecto is built for enterprise scale, offering dynamic auto-scaling, batch processing, and multi-tenant support. It handles millions of data records daily with minimal latency and integrates seamlessly with cloud and on-premise infrastructures.
Deployed by SaaS leaders processing 13M+ texts daily, reducing infrastructure costs by 90%.
Supports AI pipelines in Snowflake, Databricks, and enterprise data lakes.
Protecto is optimized for minimal impact on inference and training time. Its format-preserving, AI-aware masking ensures LLMs operate efficiently while maintaining data privacy.
Features like batch processing, queuing, and low-latency APIs support high-speed data flows.
Designed to scale without degrading model performance or delaying outputs.
