Security & Compliance | EZee Assist
Industry-grade AI standards.
EZee Assist’s AI engine is meticulously developed to surpass the current AI security, privacy, and compliance protocols. Quality and security is ingrained in our foundation.
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Responsible AI. Deployed with an unwavering focus on security and safety.
01
Customer-defined access controls
You are in full control of your content. You can determine who should have access and the level of access.
02
No third-party training
Your content will never be shared with or used by third parties for any software or LLM training purposes.
03
Enterprise-grade Infrastructure
All data processing and computations are completed in secured and encrypted AWS cloud systems.
State-of-the-art security and compliance standards.
Not a policy document. Six controls, each enforced in production, each with the mechanism named.
CONTROL MECHANISM
01
Secured Cloud System All data processing occurs within EZee Assist's AWS EC2 cloud infrastructure. No customer data is utilized for training any language models by third parties.
AWS EC2 · ISOLATED
02
Indexing Logic All customer data and metadata are indexed and stored in machine-readable vector format in a secured cloud system.
VECTOR · ENCRYPTED
03
Individualized Data Compartments No cross-pollination of data. Every customer's data is secured in its own AWS EC2 servers. Customer data cannot be mixed with other customers' data.
PER-CUSTOMER SERVERS
04
User Defined Permissions All users must authenticate their access to EZee Assist. Our system can synchronize with the current access controls to match the user permission levels across customers' tech stack.
SSO · ROLE-SYNCED
05
PII Redaction Controls Advanced AI models used by EZee Assist automatically censor Personally Identifiable Information from various data sources wherever possible.
AUTOMATIC
06
Secured Encryption All data encryption follows industry-leading standards, employing TLS 1.2/1.3 for transit encryption and AES 256-bit encryption for data at rest.
TLS 1.2/1.3 · AES-256
Personal information never reaches the index.
Advanced AI models automatically censor Personally Identifiable Information from data sources before anything is stored. What the system remembers is the operational fact, not the person.
AS RECEIVED · STORE #118 · SMS · 9:14AM
Client Sarah Mitchell at (415) 555-0192 wants a refund on invoice #88231, what’s our policy for cancelled bookings?
REDACTED BEFORE INDEXING
AS STORED
Client [NAME] at [PHONE] wants a refund on invoice [REF], what’s our policy for cancelled bookings?
Illustrative. Data shapes shown are not customer data.
Frequently asked questions.
Which Large Language Models (LLMs) are utilized by EZee Assist?+
EZee Assist orchestrates leading enterprise-grade foundation models through encrypted APIs. Your content is never used to train them, and every model call runs inside the same permission and logging layer as the rest of the platform.
How is customer data stored and encrypted?+
Customer data lives in individualized compartments on AWS EC2 servers, indexed in vector format. Everything is encrypted with TLS 1.2/1.3 in transit and AES 256-bit at rest.
What procedures do you follow for managing Personally Identifiable Information (PII)?+
PII is automatically redacted from data sources before indexing wherever possible, so personal details never reach the stored index. Redaction runs on every source the system reads.
How is customer data used with AI models?+
Your content is retrieved at answer time, scoped to the person asking, and never shared with or used by third parties for any software or LLM training purposes.
We value your feedback.
If you come across any vulnerabilities within the EZee Assist environment, please reach out to us at security@ezeeassist.com. Your security is our top priority, and we are committed to addressing any concerns promptly and effectively.
Report to security@ezeeassist.com
Acknowledged Promptly, by a human
Scope Any part of the EZee Assist environment
General inquiries Any security question, any time
We look forward to connecting.
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