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Gee Rittenhouse And Cisco’s Vision To Democratize Security


When one thinks of Cisco, it is typically in regard to networking infrastructure and the associated products, software and services. However, I wanted to learn more about the company’s focus on security, an area where I have recently expanded my coverage as an analyst. The other day I had the opportunity to speak with Gee Rittenhouse, who leads Cisco’s Security Business Group as General Manager and Senior Vice President. During our one-on-one, we discussed several topics, including his overall vision for security, three critical priorities for Cisco’s SecureX portfolio and Cisco’s contributions to the global cybersecurity community.

Deep experience forged in the cloud and security  

Before jumping into our conversation, it is helpful to know Mr. Rittenhouse’s background. In total, he has been at Cisco for over a decade, heading up the security division for the last five years, and the Cloud and Virtualization Group for the seven years prior to that. This is an impressive pedigree for his position, given how cloudified and virtualized in nature connectivity is today. Furthermore, these days it is delivered increasingly as a service with integrated security, such as Secure Access Service Edge (SASE). Before Cisco, Mr. Rittenhouse served as president of Bell Labs that capped a nearly fifteen-year total tenure with Alcatel-Lucent. As far as education goes, he holds a Ph.D. in electrical engineering and computer science from the esteemed Massachusetts Institute of Technology.  

A vision rooted in three key priorities

During our conversation, Mr. Rittenhouse shared his overall vision for Cisco’s security portfolio. At the heart of it all, Cisco’s goal is to reduce the complexity of deploying and managing security within the enterprise. This is no easy task. There is considerable research that supports the fact that the average midsized to large company often manages more than thirty or more security endpoint solutions. These offerings come in the form of firewalls, antivirus, virtual private networking (VPN), web filtering, threat hunting, active defense and many others.

Cisco aims to “democratize security” making it…

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How MIT Researchers Are Commercializing RFID, Computer Vision Robotics


The MIT Media Lab system employs RFID technology to enable a robot to find a specific item in a complex environment and take instructions.

CAMBRIDGE, Mass. — Researchers at the MIT Media Lab are employing radio frequency identification (RFID) technology along with computer vision to enable robots to explore their environment in order to locate and move a targeted item that may not be visible. The system, which has been in development, simulation and testing for several years, employs machine learning to better accomplish such complex tasks, and the team is seeking to commercialize the research.

In that effort, the researchers have been interviewing potential customers and planning a possible company spinoff. This year, the team has participated in the I-Corps program, led by the  National Science Foundation to identify potential sponsors and plan the first product. “The technology has matured enough to take it out of the lab into the real-world environment,” says Fadel Adib, an MIT associate professor and the Media Lab‘s principal investigator.

The RFID portion of the robotic system employs what researchers call RF perception, consisting of off-the-shelf passive UHF RFID tags, as well as an RFID reader and specialized antennas installed in the robot’s environment. Robots employ RFID to identify items and their specific locations when they are not visible, and the software analyzing that data can direct the robots via computer vision to focus on the items before them, determine what needs to be moved or navigated around, and act accordingly. The technology, the researchers say, could be leveraged by manufacturers, retailers or warehouses to sort, pick or place goods.

The robot is designed for two primary solutions, according to Adib. One is monitoring goods moving through warehouses that need to be picked and packed according to customer orders, which traditionally requires workers to move through aisles, opening boxes and finding specific items, then placing them in containers for shipping. With RFID, the robots could identify what is in a given box or on a particular shelf, then pick up that item and confirm where it was placed. The system is designed to prevent…

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Cyber Security Market Trend, Analysis, COVID-19 Impact, Future Forecast 2027 by Global Market Vision

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being.


Cyber SecurityGlobal Cyber Security Market: Introduction

The Global Cyber Security Market report serves as a brilliant investment guide to deliver core information on diverse market elements such as customer motivators, customer response and behavior, brand developments and positioning across the competitive isle. The report is designed to aid the investment decisions and motivate crucial investment discretion for new businesses looking out for seamless market penetration.

The report is focused at delivering a high-end replication of all major growth facets across the competition ecosystem in order to ensure ample competitive edge for inquisitive market participants. Highly interested market participants and established international vendors may refer to this research report to design and deploy agile investment decisions.

Top Key Players of the Market: Amazon Web Services, Cisco Systems, Computer Sciences Corporation, Google, IBM Corporation, Microsoft Corporation, NTT Data Corporation, VMware, WSM International LLC.

Types covered in this report are: On-premise, Cloud-based

Applications covered in this report are: SMBs, Large Enterprises

Request a Sample of this report at: https://www.globalmarketvision.com/sample_request/4258

Regional Outlook: Global Cyber Security Market

The report in its attempt to instigate high growth proficient business decisions has isolated Europe, APAC, MEA, North and Latin America as prominent growth hotspots. These aforementioned areas have been assessed to gauge into exclusive details concerning technological developments globally and their subsequent implications in growth prognosis. This section of the report also isolates specific region witnessing maximum vendor activities and developments across production and consumption patterns that instill healthy investment returns.

Various constraints and challenges that shrink growth prospects have been meticulously highlighted. Various insightful details on expert opinions of professional analysts have been highlighted in particular to comprehend Cyber Security market conditions in inappropriate ways. The report also includes various segment-specific information, identifying type and application as the most…

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A Wave Of Billion-Dollar Computer Vision Startups Is Coming

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being.


Computer vision is the most technologically mature field in modern artificial intelligence. This is about to translate into enormous commercial value creation.

The deep learning revolution has its roots in computer vision. At the now-historic 2012 ImageNet competition, Geoff Hinton and team debuted a neural network—a novel architecture at the time—whose performance eclipsed all previous efforts at computer-based image recognition. The era of deep learning was born, with computer vision as its original use case. In the decade since, computer vision capabilities have raced forward at a breathtaking pace.

To put it simply, computer vision is the automation of human sight. Sight is mankind’s most important sense; it underlies much of human life and economic activity. The ability to automate it therefore opens up massive market opportunities across every sector of the economy.

(To be sure, other areas of AI—natural language processing, for instance—have also become increasingly powerful in recent years. But core technology breakthroughs in NLP have come more recently, and as a result NLP remains more nascent from a product and commercial perspective.)

The first wave of entrepreneurial activity in modern computer vision centered on autonomous vehicles. Several startup success stories in that field, including computer vision pioneer Mobileye’s $15.3 billion sale to Intel in 2018, highlight the technology’s power to transform markets and unlock massive economic value.

Today, computer vision is finding applications across every sector of the economy. From agriculture to retail, from insurance to construction, entrepreneurs are applying computer vision to a wide range of industry-specific use cases with compelling economic upside.

Expect to see many computer vision startups among the next generation of “unicorns.” A crop of high-growth computer vision companies is nearing an inflection point, poised to break out to commercial scale and mainstream prominence. It is an exciting and pivotal time in the technology’s…

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