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AI firms sharpen privacy pitch as enterprises demand control over data | Artificial Intelligence News - Business Standard

Brave/business-standard.com · 2026年8月20日 17:15 · 阅读约 5 分钟
AI firms sharpen privacy pitch as enterprises demand control over data | Artificial Intelligence News - Business Standard

AI firms sharpen privacy pitch as enterprises demand control over data | Artificial Intelligence News - Business Standard

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AI firms sharpen privacy pi

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AI firms sharpen privacy pitch as enterprises demand control over data

Here is how OpenAI, Anthropic and Google are approaching data privacy as businesses demand greater control over sensitive information shared with increasingly capable AI models

OpenAI is strengthening data privacy safeguards for enterprise AI users with Zero Data Retention and Private Safety Processing.

Sweta Kumari

New Delhi

9 min read

Last Updated :

Aug 20 2026 | 3:26 PM

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As businesses use

artificial intelligence

(AI) models to process increasingly sensitive information, questions over data retention, privacy and safety are becoming harder to ignore. AI firms are now trying to strike a balance between monitoring models for misuse and giving enterprise customers greater control over their data, with providers adopting different approaches to storage, training and safety checks.

Among the latest is from

, which has introduced Private Safety Processing (PSP) alongside its Zero Data Retention (ZDR) policy for eligible application programming interface (API) customers. According to the US-based AI entity, the system is designed to detect potential safety risks across multiple interactions while keeping customer prompts and responses inaccessible to OpenAI employees.

Anthropic, meanwhile, requires 30-day retention for certain covered models for safety monitoring, while Google has outlined specific conditions under which its

services can offer zero data retention.

To understand why the AI firms’ approach differ when it comes to privacy, it is important to first know what happens to data after an AI request is made.

When a company uses an AI model through an API, its software typically sends an input to the model. This could be a question, document, piece of code or structured business information. The model processes that


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