SECURITY

→ View original post on X — @fogoros

Zero-Trust Controls for Operational Technology Equipment Security

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@fogoros

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12 November 2022 14h01

Addressing Operational Technology Equipment Flaws with Zero-Trust Controls >> http://
ow.ly/goVU50LnZbi @Fisher85M @RenatoMunari @TopCyberNews via @fogoros #xona_ics #sponsored #icssecurity #icscybersecurity #otsecurity #zerotrust #IoTN22 #SCEWC22 #slush2022 #CSLS2022

→ View original post on X — @sallyeaves

Cybersecurity prescription for pharmaceutical sector DDoS malware threats

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@sallyeaves

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12 November 2022 10h38

It's #Pharma under the #Security Microscope! Explore a #CyberSecurity prescription! Negating key #Security #Risk including #DDoS & #malware @NETSCOUT See https://
bit.ly/CyberPharma #CyberSecurity #Partner @Shi4Tech #SupplyChain @ahier @1OFFGINGER #100DaysOfCode #AI #IoT

GitHub Data Backup: Protecting Your Code and Issues

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12 November 2022 1h55

In fact, increasingly I have data I care about stored on GitHub – in repos or in issue threads I keep meaning to setup backups for that, in case my GitHub account ever becomes unavailable for some reason

Data Backup Strategy and Cloud Storage Trust

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12 November 2022 1h42

I tend to assume that any computer or mobile device I own could be stolen or broken at any moment, so I'm never happy until every piece of data I care about is backed up somewhere else – ideally encrypted but to be honest I mainly trust iCloud and Dropbox and S3

Twitter Impersonation Crisis: Inside Account of Eli Lilly Incident

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11 November 2022 23h29

Has anyone published a blow-by-blow account yet of what was going on inside Twitter yesterday when the Eli Lilly (and other amazing impersonations) thing happened? I refuse to believe there's no-one inside anonymously talking to the press about it

→ View original post on X — @googleai

Federated Learning: Training ML Models While Protecting User Privacy

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@googleai

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11 November 2022 20h30

While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://t.co/5hDzyWomiO pic.twitter.com/xwd4xrn4Wi
— Google AI (@GoogleAI) 11 novembre 2022

While most #ML models are trained by collecting data on a central server, federated learning makes it possible to train models without any user's raw data leaving their device. Check out the latest AI Explorable on how federated learning protects privacy→ https://
pair.withgoogle.com/explorables/fe
derated-learning/
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AI Impersonation Service Creates Identity Fraud Problems

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11 November 2022 17h58

Who could have possibly predicted that selling the ability to impersonate anyone for a few hours for $8 would result in problems with "impersonation issues"?

Legal remedies versus cryptocurrency loss irreversibility

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11 November 2022 15h37

Even fighting years in court sounds better to me then losing crypto where there's nothing any court in the world can do to help

Crypto Security: Irreversible Losses vs Reversible Fraud Risks

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11 November 2022 15h25

No, it's not as bad. Losing your credit card number may result in fraudulent charges that can usually be reversed. Losing your crypto is irreversible by design.