When Chat.co uses AWS Bedrock, inference has zero data retention by default and inputs and outputs are not shared with the underlying model providers for training.
Protect company knowledge with authenticated agents, role-based access, encryption, and grounded answers that show their sources.
Authenticated access, role-based controls, and encryption keep the right knowledge in the right hands.
Zero data retention by default. No model-provider training on inputs or outputs.
The answer comes back with citations to the approved sources behind it.
Controlled knowledge in. Provable answers out.
Here is what typically happens to a conversation in a consumer chatbot on default settings — in plain English.
When you paste a contract, a patient note, or a client email into a free chatbot, a copy usually lives on the provider’s servers — sometimes for years, on terms that can change after the fact.
Several major AI companies use consumer conversations to train future models by default — unless you find the setting and opt out. Your confidential text can become part of what the AI “knows.”
AI chat logs are discoverable. Courts have already ordered a major provider to hand over millions of user conversations in litigation — and ruled that work done in a consumer AI tool may carry no legal privilege at all.
Regulators, courts, and employers have been drawing the same conclusion for three years: confidential work does not belong in consumer AI tools.
After engineers pasted confidential source code into ChatGPT, Samsung barred generative AI tools on company devices — one of many enterprises to do so.
ABA Formal Opinion 512 put lawyers on notice: entering client information into generative AI tools without safeguards can violate the duty of confidentiality.
Major AI labs moved consumer accounts to data-sharing for model training by default, with multi-year retention — unless each user finds the toggle and opts out.
In January 2026, a federal court in New York affirmed orders requiring a major AI provider to hand plaintiffs a sample of 20 million consumer chat logs in litigation.
In February 2026, a federal judge ruled that documents generated with consumer AI tools were not protected by attorney–client privilege or the work-product doctrine.
Chat.co combines a protected Bedrock inference path with the controls required to govern public and private knowledge agents in one platform.
With AWS Bedrock, inference has zero data retention by default. Inputs and outputs are not shared with the underlying model providers for training.
Use authenticated private agents, role-based access controls, and domain restrictions to put approved knowledge in front of the right audiences.
Ground agents in the sources you approve and return citations with answers, so teams can verify the evidence instead of trusting an untraceable response.
Enterprise safeguards
If a rule, a license, or a duty stands behind your work, “the chatbot kept a copy” is not an acceptable answer. Chat.co is built for professions where privacy is not a preference — it’s an obligation.
ABA Rule 1.6 · Formal Op. 512You hold privilege for a living — and courts have ruled that work done in consumer AI tools may carry none. Draft, research, and pressure-test arguments through a protected Bedrock path with zero-retention inference and no model-provider training on inputs or outputs.
IRC §7216 · AICPA confidentialityDisclosing tax return information without consent is not just an ethics issue — it can be a federal offense. Analyze client financials and draft memos without handing the numbers to a chatbot that stores them on someone else’s terms.
HIPAAConsumer chatbots are not built for protected health information. Chat.co adds authenticated access, role-based controls, encryption, and a protected Bedrock inference path for sensitive clinical knowledge.
SEC Reg S-P · FINRAClient holdings, plans, and personal data are regulated the moment they leave your hands. Get AI help with analysis and client communication while keeping knowledge governed, exportable, and deletable.
GDPR · state privacy lawCompensation data, investigations, and health accommodations are exactly the conversations that should never surface in someone else’s training set. Role-based access and domain restriction keep sensitive people-work contained.
Fiduciary duty · trade secretsStrategy documents, M&A thinking, and unannounced numbers are one careless paste away from living on a consumer server — discoverable, and outside your control. Work through hard decisions with AI that keeps them confidential.
Consumer AI privacy varies by product, plan, and settings. Chat.co makes the protected Bedrock path and the controls around your knowledge explicit.
| Privacy capability | Consumer AI tools | |
|---|---|---|
| Zero-retention inference by default | ||
| No model training on inputs or outputs | ||
| Authenticated private agents | ||
| Role-based knowledge access | ||
| Encryption in transit and at rest | ||
| Public and internal agents in one platform | ||
| Grounded answers with source citations |
The privacy story should be understandable before legal review. These safeguards apply from the moment you start, including during your 14-day free trial.
ISO/IEC 27001:2022 certified
SA CYBER LLC's information security management system supporting Chat.co is certified by GCAI. Certificate GCAI-ISMS-LM73 is valid through August 28, 2029.
The fine print matters too: read the full Privacy Policy and Terms of Service. Statements about zero data retention and model-provider training apply when Chat.co uses AWS Bedrock.
Chat.co gives teams the speed of generative AI without surrendering control of their knowledge, access policies, or customer experience.
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