As Cisco’s products and services evolve to new models, we find ourselves coming in contact with our customer’s data more regularly. We approach this role as stewards of this data with our customers interest foremost in our mind. One area of widespread interest as it relates to this data is how we interact with Global Law Enforcement regarding this data. To that end, today Cisco is launching its first global Transparency Report on Law Enforcement Requests for Customer Data. In this report, Cisco details our principles regarding how we will treat law enforcement requests for customer data if, and when we receive such requests. We also provide specifics regarding how many requests we have received from global law enforcement agencies for our customer’s data.
Public Sector IT organisations are weary of vendor lock-in. And rightfully so: it is hard to buy cloud services from any supplier you choose and then freely manage these services as if they were part of your own extended private cloud. Main reason: lack of ability to connect different clouds: private, partner, public, etc. Luckily, this barrier is vanishing…
Thirty years ago, Cisco pioneered a strategy to connect previously isolated, heterogeneous networks, which lead to the rise of the Internet as we know it. Now, Cisco is embarking on a journey just as ambitious: the connection of multiple isolated clouds, leading to the creation of the Intercloud: an interconnected cloud of clouds.
The Intercloud relies on a five key principles and technologies, summarised below:
Over the last month, CDP (Carbon Disclosure Project) has released its assessments of how publicly traded companies around the world scored on the CDP’s 2014 Climate Change Information Request. I think 2014 marks a dozen years that CDP has been moving the needle on greenhouse gas (GHG) emission reporting.
On September 23, CDP released the results of its regional assessments. In Cisco’s case, CDP reported our scoring as part of its U.S.-based S&P 500 report. For the 2nd year in a row, we received the top score of 100. Another accomplishment that I think is especially meaningful is that we made CDP’s Carbon Disclosure Leadership index (CDLI) for the 7th year in a row. As companies have improved their reporting, disclosure scores have improved; the “room at the top” is a lot smaller (see CDP chart below).
My 2014 predictions are finally complete. If Open Source equals collaboration or credibility, 2013 has been nothing short of spectacular. As an eternal optimist, I believe 2014 will be even better:
- Big data’s biggest play will be in meatspace, not cyberspace. There is just so much data we produce and give away, great opportunity for analytics in the real world.
- Privacy and security will become ever more important, particularly using Open Source, not closed. Paradoxically, this is actually good news as Open Source shows us again, transparency wins and just as we see in biological systems, the most robust mechanisms do so with fewer secrets than we think.
- The rise of “fog” computing as a consequence of the Internet of Things (IoT) will unfortunately be driven by fashion for now (wearable computers), it will make us think again what have we done to give up our data and start reading #1 and #2 above with a different and more open mind. Again!
- Virtualization will enter the biggest year yet in networking. Just like the hypervisor rode Moore’s Law in server virtualization and found a neat application in #2 above, a different breed of projects like OpenDaylight will emerge. But the drama is a bit more challenging because the network scales very differently than CPU and memory, it is a much more challenging problem. Thus, networking vendors embracing Open Source may fare well.
- Those that didn’t quite “get” Open Source as the ultimate development model will re-discover it as Inner Source (ACM, April 1999), as the only long-term viable development model. Or so they think, as the glamor of new-style Open Source projects (OpenStack, OpenDaylight, AllSeen) with big budgets, big marketing, big drama, may in fact be too seductive. Only those that truly understand the two key things that make an Open Source project successful will endure.
- AI recently morphed will make a comeback, not just robotics, but something different AI did not anticipate a generation ago, something one calls cognitive computing, perhaps indeed the third era in computing! The story of Watson going beyond obliterating Jeopardy contestants, looking to open up and find commercial applications, is a truly remarkable thing to observe in our lifespan. This may in fact be a much more noble use of big data analytics (and other key Open Source projects) than #1 above. But can it exist without it?
- Finally, Gen Z developers discover Open Source and embrace it just like their Millennials (Gen Y) predecessors. The level of sophistication and interaction rises and projects ranging from Bitcoin to qCraft become intriguing, presenting a different kind of challenge. More importantly, the previous generation can now begin to relax knowing the gap is closing, the ultimate development model is in good hands, and can begin to give back more than ever before. Ah, the beauty of Open Source…
Tags: ai, AllSeen, big data analytics, Cloud Computing, cognitive computing, cyberspace, Fog computing, hypervisor, Inner Source, internet of things, IoT, meatspace, NFV, Open, open source, opendaylight, OpenStack, privacy, qCraft, robotics, SDN, security, transparency, virtualization
Features, Bugs, and Backdoors: The Differences, How Language Can Be (Mis)Used, And A Word Of Caution
Language is a powerful tool.
With acronyms like ACL, IPS/IDS, and APT*, the security world has created its own language, acronyms, and catchphrases. In our industry, sometimes the meaning of more commonly used words can cause misunderstandings. For example, is a hacker a bad actor or a well-intentioned individual? Are all software bugs also security vulnerabilities? Can the terms feature, bug, and backdoor be used interchangeably?
A feature, a bug, or a backdoor might look like the same thing to some, but they are not. Imprecision in this area can breed misunderstandings. I believe that there are two key differences between a feature, a bug, and a backdoor: intent and transparency. Read More »