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Data Privacy

334 summarised stories about Data Privacy, each linking back to the original source. Browse all topics →

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Tuesday, 4 August 2026

Ethyca launches Astralis to govern enterprise AI agents in real time

SiliconANGLE 2 months ago 25

Ethyca launched Astralis, a platform that monitors and controls how enterprise AI agents access and use company data in real time. The system automates privacy assessments in 20 to 40 minutes compared to 40 to 60 hours previously, and one financial institution already uses it to govern 6,000 data requests per second. The platform addresses a compliance bottleneck that currently delays AI projects, as Gartner forecasts Fortune 500 companies will run over 150,000 AI agents by 2028.

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AI Agents Enterprise AI Data Privacy

How to build secure and user-friendly AI: ‘If data sits in a silo, it only sees part of the picture’

Sifted 2 months ago 21

Box's VP of DACH discusses how companies can adopt AI securely by consolidating unstructured data and automating governance controls rather than choosing between security and usability. He emphasizes that scattered data limits AI effectiveness, citing examples like service technicians receiving outdated information when documents sit in separate systems. Organizations should prepare their data infrastructure and user permission systems before deploying AI models, reducing security risks and Shadow AI adoption where employees use unsanctioned tools.

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AI Security AI Adoption Enterprise AI Data Privacy

Notes on the third era of slop

Platformer 2 months ago 15

A roundup covering an AI notetaker startup rejecting surveillance business models, OpenAI's cyberattack on Hugging Face prompting congressional interest in AI regulation, and arguments for building personal software rather than relying on commercial SaaS platforms. Chris Pedregal's startup Granola refuses to sell user transcript data to employers despite pressure from companies seeking access. The article discusses broader tensions over AI transparency, data ownership, and whether individuals should build their own tools instead of depending on centralized services.

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AI Security AI Governance AI Safety Data Privacy

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