Rattle

Description Features Permissions Security & Compliance

Update Salesforce blazingly fast.Rattle is a smart layer built on top of Salesforce that helps you edit Salesforce data from Slack. You can share live updates and aggregated analytics with your sales leaders, and they can guide the team in real-time to close more sales.Rattle for Slack integrates large language models to assist with answers, summaries, and suggestions. AI-generated content may be incorrect, incomplete, or reflect limitations of the underlying model and source systems. Use discretion, verify critical details independently, and avoid submitting sensitive or regulated data. By using this feature, you acknowledge these limitations.

Rattle will be able to view:

Rattle will be able to do:

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General

Privacy & data governance

Data retention policy

Rattle regularly backs up customer data per Data Backup Policy. By default, Rattle stores its customer's data indefinitely. Rattle might choose to delete the customer’s data at any point after the customer contract ends for efficiency reasons. Rattle may provide the option for customers to delete data after their subscription ends. This request must be made by the customer.

Data archiving and removal policy

Data Archiving, Removal Policy Abstract Rattle securely disposes of both electronic and physical media which adds a layer of protection from the data being used by unauthorized persons. To permanently dispose of company issued laptops/workstations, the following steps can be followed: 1. Encrypt the entire hard disk with a strong algorithm with a random 20-character password and then delete the volume. 2. Delete the data using open source secure delete tools like shred, or writing 0 bits to the disk 3. Destroying the physical media (incineration).

Data storage policy

All data at rest is protected with AES256 encryption, stored in AWS us-west datacenters. Data in transit is encrypted with TLS v1.2

Data center location(s)

United States

Data hosting details

Cloud Hosted

Data hosting company

AWS

App/service has sub-processors

App/service uses large language models (LLM)

yes

LLM model(s) used

Open AI GPT 4

LLM retention settings

Data provided during API interactions is retained for a short period, typically 30 days, for operational and service-related reasons. This includes maintaining the system's functionality and monitoring for abuse or misuse of the service.

LLM data tenancy policy

All data provided to the LLM is transmitted through their APIs. This data will not be used to train or enhance the LLM's services by default.

LLM data residency policy

The LLM stores and processes data in regional data centers based on user location or preferences to comply with local data residency laws, like GDPR. All data is encrypted with modern protocols to ensure privacy and security. The LLM’s APIs are SOC 2 comp

Certifications & compliance

Security