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TechCrunch+ roundup: Technical due diligence, web3’s promise, how to hire well

TechCrunch

So far, web3 has not paid off on the Promise of the Premise : open source software that runs live on the blockchain. Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. 8 questions to answer before your startup faces technical due diligence. “It’s still much easier to develop a Web 2.0

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Shells Review – Best Personal Cloud Computer

The Crazy Programmer

Virtual desktops are preinstalled copies of operating systems on the cloud. It helps in isolating the desktop environment from the existing system that is accessible on any device. All of the high-end processing tasks and heavy lifting operating system work is carried out on the cloud and not the existing system.

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Low code/no code tools reap IT benefits—with caveats

CIO

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. So there’s a lot in the plus column, but there are reasons to be cautious, too.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

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Cybersecurity Snapshot: 6 Best Practices for Implementing AI Securely and Ethically

Tenable

But how can you ensure you use it securely, responsibly, ethically and in compliance with regulations? Check out best practices, guidelines and tips in this special edition of the Tenable Cybersecurity Snapshot! How can the security team contribute to these efforts? We look at best practices for secure use of AI.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

In December 2021, a vulnerability in a widely used logging library that had gone unfixed since 2013 caused a full-blown security meltdown. . It was described by security experts as a “design failure of catastrophic proportions,” and demonstrated the potentially far-reaching consequences of shipping bad code.

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Cybersecurity Snapshot: Get the Latest on Deepfake Threats, Open Source Risks, AI System Security and Ransomware Gangs

Tenable

Tasked with securing your org’s new AI systems? Plus, open source security experts huddled at a conference this week – find out what they talked about. That’s the topic of the paper “ Securing AI: Similar or Different? published by Google’s Cybersecurity Action Team. ” published by Google’s Cybersecurity Action Team.