Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
The Castle and Moat doctrine for IT information security is officially dead, and Zero Trust Architecture (ZTA) is the new method for securing information resources. Zero trust provides an approach to identity and access management that assumes no user or software is trusted by default. All users, devices, and applications must prove their identity and level of authentication before accessing resources. Key thoughts on this approach are never trust, always verify, assume breach, and explicit verification.
Project Aurora is HPE’s edge-to-cloud zero trust security architecture that helps protect customers from some of today’s most sophisticated malware attacks. Building on HPE’s silicon root of trust, Project Aurora measures everything before it is enabled or released for execution and continuously repeats this measurement during runtime.
Rather than being a point solution, Project Aurora addresses end-to-end security for edge-to-cloud deployments, with new embedded and integrated security solutions starting at the silicon level.
In this webinar, attendees learned about:
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The higher education sector harnesses Artificial Intelligence (AI) to enhance accessibility and personalization. Predictive insights driven by data facilitate improvements in areas such as student retention, learning progress tracking, and student group segmentation. Quantiphi provides tailored solutions across segments like higher education, e-learning, and education administration. Key offerings include Student 360, gathering student data for analysis and machine learning models, QDox for Intelligent Document Processing automating data extraction from student documents, and an AI-powered Contact Center addressing student queries 24/7. An illustrative customer story involves Quantiphi's use of deep learning to build knowledge-tracing models, elevating student learning outcomes through personalized content recommendations based on factors like learning ability and exercise difficulty.
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