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MY TAKE: How advanced automation of threat intel sharing has quickened incident response

The Last Watchdog

military complex, who got frustrated by their inability to extract actionable intel from a deluge of threat feeds. At the same time, digital transformation has redoubled the complexity of company networks, catapulting us from Big Data to Very Big Data. Threat actors couldn’t ask for a more ripe environment.

Big data 153
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China: Navigating China episode 18: Increased scrutiny over connected car and automobile industry data from Chinese regulators, including push towards data localisation

DLA Piper Privacy Matters

The Chinese cybersecurity authorities have published new draft rules clarifying data and cyber compliance obligations for the automobile industry, including a push towards most personal information and important data being kept in China. other data that may affect national security and public interests.

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AIIM Announces New Board of Directors

Info Source

He has over 20 years’ experience in the emerging technologies space across multiple industries including big data, analytics, cloud and enterprise content management. He has a BS in Engineering from Virginia Military Institute and an MBA from the University of North Carolina at Chapel Hill. .

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Red Teaming Your Information Governance Program

Brandeis Records Manager

Red teaming (RT), with origins in the military, involves thinking differently and more objectively about your program, looking under rocks, and grasping alternative views of the way things are. Automation bias , where we fail to question automated system output after relying on it–this threat increases in our data analytics world.

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A brief history of data and how it helped change the world

Collibra

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools.

IT 52
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Hybrid cloud examples, applications and use cases

IBM Big Data Hub

Disaster recovery (DR) Disaster recovery (DR) involves IT technologies and best practices designed to prevent or minimize data loss and business disruption resulting from catastrophic events. Potential disasters include equipment failures, natural disasters, power outages, cyberattacks , civil emergencies or military attacks.

Cloud 86
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CMMS vs. EAM: Two asset management tools that work great together

IBM Big Data Hub

In defense, there are strict regulations around tracking potentially dangerous assets, and the safety of military operations depends on the operational readiness of multiple assets in disparate locations. IBM Maximo® Application Suite combines the world’s leading enterprise asset management system with all the benefits of CMMS.