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Cybersecurity Snapshot: New Guides Offer Best Practices for Preventing Shadow AI and for Deploying Secure Software Updates

Tenable

1 - CSA: How to prevent “shadow AI” As organizations scale up their AI adoption, they must closely track their AI assets to secure them and mitigate their cyber risk. You may find useful ideas in the Cloud Security Alliance’s new “ AI Organizational Responsibilities: Governance, Risk Management, Compliance and Cultural Aspects ” white paper.

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Organize and Process IoT Data Quickly Using AWS IoT Analytics

Cloud That

IoT device use has recently increased in applications such as agriculture, smartwatches, smart buildings, IoT retail shops, object tracking, and many more. Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. About CloudThat. Introduction.

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Making Zero Trust Architecture Achievable

Tenable

And it's built upon current cyber best practices and sound cyber hygiene, such as vulnerability management , proactive patching and continuous monitoring, already implemented in most organizations today.” This allows for a better understanding of assets in context and how they are interconnected. Verify everything. All the time.

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Driving Increased Security in All IoT Devices

CableLabs

CableLabs engages with the IoT industry and the broader stakeholder community, including governments, to help drive increased IoT device security. The rapid proliferation of IoT devices has the potential to transform and enrich our lives and to drive significant productivity gains in the broader economy.

IoT 16
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The Medical IoT Security To Depend on When Lives Depend on You

Palo Alto Networks

Protect every connected device with Zero Trust IoT security, tailor-made for medicine. Connected clinical and operational IoT devices are used for everything, from patient monitoring to office systems. Actionable Guidelines Provided with Medical IoT Security.

IoT 98
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Data confidence begins at the edge

CIO

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Organizations are making great strides, putting into place the right talent and software. Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs.

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