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Navigating Secure Generative AI with Salesforce's Einstein Trust Layer
The allure of generative AI is undeniable. Whether it’s conjuring up superhero versions of your pets with Midjourney or penning pirate-themed poetry with ChatGPT, the creative potential is vast. Beyond the fun, however, lies a pressing concern: security and trust.
The Protective Veil of the Einstein Trust Layer
When you engage with Einstein Copilot, it orchestrates the right actions and selects pertinent data from your organisation. The Einstein Trust Layer plays a crucial role here by masking sensitive data, ensuring it remains shielded from large language models (LLMs) like ChatGPT. Once the LLM generates a response based on the masked data, the Trust Layer securely returns this response for your scrutiny. Post-review, the data is unmasked, and an event log chronicles the entire journey from prompt to response. Importantly, our zero data retention policy with LLM partners ensures your data remains confidential and isn’t stored or misused.
Generative AI: Unleashing Creativity, Safely
Generative AI is not just a playground for creativity; it's a productivity powerhouse. Salesforce research indicates that employees foresee generative AI saving them an average of 5 hours weekly. That equates to an entire month saved annually for full-time staff!
However, with great power comes great responsibility. Here are some questions you might ponder:
How can I harness generative AI tools whilst safeguarding both my data and my customers' data?
What data do different generative AI providers collect, and how is it utilised?
Am I inadvertently exposing personal or company data when training AI models?
How can I ascertain the accuracy, impartiality, and reliability of AI-generated responses?
Salesforce’s Commitment to Trust
Salesforce have been at the forefront of AI for nearly a decade. From launching the Einstein platform in 2016 to investing in LLMs in 2018, their commitment to AI is unwavering. Salesforce’s mission extends beyond merely providing cutting-edge AI technology; it encompasses responsibility, transparency, and inclusivity—values encapsulated by their Trust ethos.
The Einstein Trust Layer
This innovation is designed to empower you and your team to leverage generative AI confidently and securely. Let’s delve into what makes Salesforce's approach to generative AI security unparalleled.
Understanding the Einstein Trust Layer
The Einstein Trust Layer fortifies generative AI security through integrated data and privacy controls. This ensures that Einstein AI operates securely within a company’s data framework without posing security threats. Essentially, the Trust Layer acts as a series of gateways and retrieval mechanisms that foster both trust and accessibility in generative AI.
Key features of the Einstein Trust Layer include:
Secure Data Retrieval: Ensures data is accessed securely.
Dynamic Grounding: Connects AI outputs with real-world data.
Data Masking: Shields sensitive information.
Zero Data Retention: Ensures no data is stored post-interaction.
Toxic Language Detection: Scans for inappropriate language in prompts and responses.
Audit Trail: Provides an accountability mechanism, tracking each interaction.
Salesforce’s open model ecosystem ensures secure access to a multitude of LLMs, both within and beyond Salesforce. Positioned as a protective intermediary, the Trust Layer ensures your data remains uncompromised while harnessing generative AI across diverse business applications—from crafting sales emails to composing service responses.
In conclusion, with the Einstein Trust Layer, Salesforce is setting industry standards for secure and trustworthy generative AI. Stay tuned to delve deeper into each feature in the upcoming segments.
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