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Wald.ai Revolutionizes Medical Record Processing for Personal Injury Attorneys

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Pioneering Contextual Data Redaction for Conversational AI

Safeguard sensitive data with advanced intelligence. We're transforming data protection with our innovative Contextual Data Redaction technology.

What is Contextual Data Redaction?

Contextual Data Redaction is an advanced approach to protecting sensitive information in conversational AI systems. Unlike traditional methods, our technology understands the context and semantics of conversations, providing dynamic and intelligent protection.

Here's how Wald's Contextual Redaction works:
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Why Choose Contextual Redaction over Traditional Methods?

Regex & Keyword Matching

Traditional Redaction

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Relies on predefined patterns and keywords

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Often misses context-dependent sensitive data

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Can lead to over-redaction or under-protection

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Contextual Redaction

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Utilizes semantic understanding and dynamic risk assessment

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Adapts to the evolving context of conversations

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Preserves conversation utility while ensuring robust protection

Smart Redaction at Work: Practical Examples

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Here's how Wald protects you...

Intelligent Context Analysis

Our advanced Natural Language Processing (NLP) engine comprehends the nuances of language, identifying sensitive information that traditional systems might overlook.

Intelligent Context Analysis

Adaptive Learning for Evolving Threats

Powered by our machine learning core, we adapt to new data patterns and potential vulnerabilities, keeping you ahead of emerging threats.

Adaptive Learning for Evolving Threats

Comprehensive Data Relationships

By leveraging a Knowledge Graph, we map relationships between diverse pieces of information, enabling context-aware decisions about what requires protection.

Comprehensive Data Relationships

Mathematically Guaranteed Privacy

Our Cryptographic Privacy Layer ensures that any sensitive information we store on behalf of our customers is kept encrypted with keys that they own, such that even we can’t access this data. This ensures that even if our servers are breached, the customer information stays safe. 

Mathematically Guaranteed Privacy

Anonymized Learning on Sanitized Data

We ensure that any improvements to our sanitization models and fine-tuning occur only on anonymized and cleansed data—the same sanitized content sent to external LLMs. Since we never have access to sensitive data, there's no risk of it being used for training purposes.

Anonymized Learning on Sanitized Data

Elevate Your Data Protection Strategy

Don’t settle for outdated redaction methods. Choose Wald.ai’s Contextual Data Redaction for unparalleled protection of your sensitive information in conversational AI systems.

Get Started today and safeguard your data while maintaining the effectiveness of your AI interactions.

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