Building Smarter, Safer Apps: Inside Salesforce's Einstein Trust Layer
Tags: salesforce, salesforceeinstein, softwaredevelopment, webdev
Published: 2024-02-20 13:48:25


Ever heard about Salesforce's latest brainchild, the Einstein Trust Layer? It's turning heads for a good reason. This framework is the bedrock of Salesforce's platform, designed with a laser focus on ethical AI use and data privacy.

But, what does this mean for developers? It's a call to step up and embrace a new era of AI application development — one where security and ethics aren't afterthoughts but are baked into the very core of our projects. 

Let's dive into the core components of this framework.

## 1. Integrated and Grounded AI

The Einstein Trust Layer is an intrinsic element of every Einstein Copilot deployment. It ensures that generative AI prompts are not only based on but also augmented with trusted company data. This is possible through its seamless integration with the Salesforce Data Cloud.

This feature enables developers to build AI-driven applications on Salesforce that are not only intelligent but also deeply integrated with the Salesforce Data Cloud. This means apps can utilize trusted company data to provide richer, more contextual experiences. Developers now have the capability to create solutions that are both innovative and directly relevant to the business's specific needs.

## 2. Zero-data Retention and PII Protection

A standout feature of the Trust Layer is its commitment to not storing any company data by external Large Language Model (LLM) providers. Additionally, it includes mechanisms for masking personally identifiable information (PII), thus elevating data privacy and security.

The commitment to zero-data retention and PII protection ensures that applications built on Salesforce meet the highest standards of data privacy. Developers are tasked with implementing data protection measures, such as data masking and strict adherence to privacy policies, making sure sensitive information is handled securely. This approach not only safeguards user data but also aligns with regulatory compliance, allowing developers to create safer, privacy-focused applications.

## 3. Toxicity Awareness and Compliance-Ready AI Monitoring

The framework comes equipped with a safety-detector LLM designed to monitor and evaluate AI-generated content for toxicity and potential risks to brand reputation. It also maintains a secure, monitored audit trail of every AI interaction, offering transparency and control over data usage while ensuring compliance and ethical AI practices.

With built-in mechanisms for monitoring AI-generated content and ensuring compliance, developers are encouraged to integrate these tools into their Salesforce applications. This responsibility means designing AI that is not only innovative but also ethical and socially responsible. Developers will ensure their applications are safe, align with brand values, and are compliant with ethical standards, fostering a positive impact through technology.

## Over To You

Einstein Trust Layer empowers developers to leverage Salesforce's platform for building applications that excel in AI capability while championing data security and ethical practices. It's a comprehensive toolkit that supports the creation of advanced, compliant, and ethically responsible AI applications. Learn about how Salesforce Einstein AI revolutionizes CRMs in this [article](https://oril.co/blog/salesforce-einstein/).