Sat.Jul 21, 2018

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My Health Record 'identical' to failed UK scheme, privacy expert says

The Guardian Data Protection

Care.data was cancelled because drug and insurance companies were able to buy patient data Australia’s impending My Health Record system is “identical” to a failed system in England that was cancelled after it was found to be selling patient data to drug and insurance companies , a British privacy expert has said. My Health Record is a digital medical record that stores medical data and shares it between medical providers.

Privacy 75
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Experts discovered Calisto macOS Trojan, the first member of Proton RAT family

Security Affairs

Security experts from Kaspersky Lab have discovered a precursor of the infamous Proton macOS malware that was named Calisto. Malware researchers from Kaspersky Lab have discovered a malware, tracked as Calisto, that appears to be to the precursor of the Proton macOS malware. “We recently came across one such sample: a macOS backdoor that we named Calisto.

Sales 50
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Venmo Privacy, Ransomware Attacks, and More Security News This Week

WIRED Threat Level

Russian meddling, Venmo privacy, and more of the week's top security news.

Privacy 47
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Expert discovered it was possible to delete all projects in the Microsoft Translator Hub

Security Affairs

Microsoft has addressed a serious vulnerability in the Microsoft Translator Hub that could be exploited to delete any or all the projects hosted by the service. Microsoft has fixed a severe vulnerability in the Microsoft Translator Hub that could be exploited to delete any or all projects hosted by the service. The Microsoft Translator Hub “ empowers businesses and communities to build, train, and deploy customized automatic language translation systems—-”. .

IT 46
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.