Welcome!

@CloudExpo Authors: Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White

Related Topics: @CloudExpo, Agile Computing, Cloud Security, Government Cloud

@CloudExpo: SYS-CON Event

Cloud Expo Speaker Profile: Scott Chasin - McAfee

Scott Chasin - CTO, McAfee Content & Cloud Security

With Cloud Expo Silicon Valley (9th Cloud Expo) starting today Monday November 7 at the Santa Clara Convention Center, CA, let's introduce you in greater detail to the distinguished individuals in our incredible Speaker Faculty for the technical program at the conference...

We have technical and strategy sessions for you every day from Nov 7 through Nov 10 dealing with every nook and cranny of Cloud Computing, but what of those who are presenting? Who are they, where do they work, what else have they written and/or said about the Cloud that is transforming the world of Enterprise IT?


CLOUD EXPO SPEAKER NAME: Scott Chasin

TWITTER: @McAfee

COMPANY: McAfee

9TH CLOUD EXPO SESSION TITLE: Identity Driven Security in the Cloud

SESSION DESCRIPTION:
http://cloudcomputingexpo.com/event/session/1300

BRIEF BIOGRAPHY: Scott Chasin is CTO McAfee Content & Cloud Security. He is widely recognized as a pioneer and leading visionary in the cloud security industry, having pioneered the development and marketing of several SaaS-based messaging, collaboration and security-focused technologies.

Chasin is credited with the launch of the first Web-based email consumer service, and delivered the first IP-based commercially hosted messaging service supporting thousands of businesses and millions of end users worldwide. He also created and moderated the first full-disclosure security discussion list, Bugtraq, and was a key contributor to the creation of the first open-source, one-time password system, S/Key.

Prior to its acquisition by McAfee in 2009, Chasin served as CTO of MX Logic. He was also CTO and Chief Visionary for USA.NET, helping establish the company as one of the first global providers of Internet-based email and advanced messaging services.

BLOG: blogs.mcafee.com/enterprise/cloud-security

RECENT CLOUD COMPUTING QUOTE:

""The convergence of mobile, social networking, cloud and IT consumerisation will lead to a trust management ecosystem, with third parties brokering the service. And this will happen in the next decade.

Sites such as Facebook and LinkedIn have shown that people are capable of building their own trust networks and this needs to be extended into the identity sphere, either among individuals or as a paid trusted identity-as-a-service offering. We now have this dataset of a global relationship map. The entire world is mapping relationships. It's only a matter of time before business follows suit."


[As reported here]

More Stories By Jeremy Geelan

Jeremy Geelan is Chairman & CEO of the 21st Century Internet Group, Inc. and an Executive Academy Member of the International Academy of Digital Arts & Sciences. Formerly he was President & COO at Cloud Expo, Inc. and Conference Chair of the worldwide Cloud Expo series. He appears regularly at conferences and trade shows, speaking to technology audiences across six continents. You can follow him on twitter: @jg21.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.