The State of Cloud Security (Pt. 2): It Starts with a Conversation

By By Dennis Barker, GRIDtoday

July 21, 2008

Although cloud computing presents new risk of security fiascos, there are many things providers and customers can do to take advantage of on-demand resources in a safe, reliable way. Smart people have been giving this a lot of thought.

Dave Durkee, CEO of cloud provider ENKI, says cloud security has to start with fundamentals and good hardware defenses — emphasis on hardware. “I’m a big believer in hardware firewalls,” he says. “It’s not really enough to know the signature of an attack. You need to know where the traffic is coming from in order to block it. If they fill your upstream connections, you can be shut down.”

ENKI builds its system around AppLogic, 3Tera’s grid engine, which “allows us to manage the connections inside the virtual datacenter, so you can specify the interconnections between each server,” Durkee says. “You can go from server A to B but you can’t get to C. We’re able to build this layer of security into the architecture. But you also need to go the traditional route and have hardware-based intrusion detection and a firewall sitting in front of all that grid stuff. You need multiple layers of protection, just like in the middle ages with the moat and outer walls keeping invaders from getting inside the castle.”

While virtualization technology might enable its own security risks, it also allows system designers to build security in from step one. “The key is to build security in at the planning stage, when you’re designing your virtual machines,” says Tamar Newberger, vice president of marketing for Catbird, which provides security monitoring tools for virtual and physical networks. “You have to design in policies like ‘No financial machines can leave the country,’ for example. If you don’t want employees being able to send certain types of virtual machines to, say, Tokyo, then you build that into your policies and then into your virtual infrastructure. You can have monitoring tools that alert you if someone tries to do something that violates security policy.”

IBM takes advantage of virtualization capabilities within the servers it uses in cloud centers to implement security measures, says Dennis Quan, chief technology officer for High-Performance On-Demand Solutions at IBM. Most important, he says, are isolation techniques to keep customer data and resources separate.

“A lot of work still needs to be done to secure the channels that reach the cloud outside your enterprise,” Quan says, but the company has developed solutions around its current technology. “We build isolation into the hardware, but network-based isolation is also necessary. This can be provided as part of a virtual LAN or we can use different routing technologies. In the cloud we set up for the city of Wuxi in China, we had to implement a lot of different forms of security. They have multiple software companies making use of that facility, and those companies have clients that are large enterprises around the world. So they need to have isolation. We implemented a VPN to make sure all the traffic going into the cloud is authenticated. We use virtual LANs and virtualization technologies to keep virtual machines completely isolated between different tenants in the cloud. There’s a lot more we need to do to strengthen authentication as the cloud evolves, and that’s part of what we’re learning as we build clouds around the world. The security products have had to improve to satisfy the demands of customers using these clouds.”

Security tools will have to adapt to the cloud’s pay-for-what-you-use model, says Craig Balding, technical security lead for a Fortune 500 company and proprietor of cloudsecurity.org . Real cloud security will require “dynamic provisioning and configuration of firewalls and network security monitoring devices to watch traffic from virtual compute instances spun up on demand, perhaps across multiple continents,” Balding says. “What happens when the situation suddenly changes due to demand?  This will only get solved by smart security autonomics.”

Needed: A Standard Stick

Some sort of formal agreement on who is responsible for what will help improve security for cloud customers. Dominique Levin of network security provider LogLogic suggests something like the standard developed by credit card companies for data security, known as PCI (Payment Card Industry). “PCI defines a set of minimum measures that all organizations should implement to protect sensitive information. These include things like using a firewall, limiting unnecessary risky services on your network, and user activity monitoring through log data.” 

“The problem with the cloud-based services is the lack of a strong and centralized ‘stick’ to force providers to comply with any standard. Visa and MasterCard can force adoption of the standard by levying steep fines or even refuse to process credit card transactions in the case of non-compliance. Customers of cloud providers could vote with their feet and refuse to do business until a security standard is adopted, but there is no organized ‘cloud providers customer group’ to drive and enforce a standard.  The best we can hope for is that some enlightened services providers will adopt a standard to differentiate themselves.  Once one provider is successful with such a strategy, others will follow and we will end up with a de-facto standard.”

See-Through Clouds

One word seems to come up in virtually every conversation about strengthening cloud security: Transparency. (See also: lack thereof.)

“The lack of transparency is a big issue in cloud computing,” says John Engates, chief technology officer for Rackspace, the large IT systems hosting company with its own cloud division, Mosso. “As cloud computing is a fairly new concept, most of the current players are holding many details of their platform close to the vest. This includes details like size of the cloud, technology powering the cloud, security practices around the operations of the cloud, locations of data centers, personnel background, etc. Security-by-obscurity does not work. Large corporate IT buyers will demand security audits and assurances around controls. … Most existing clouds don’t provide this kind of transparency. Before we see widespread adoption by big enterprises and government agencies, we’ll need quite a bit more transparency around these sorts of details. Secrecy is not a long-term competitive advantage and companies that are willing to be upfront and tell their customers more about the cloud infrastructure that’s hosting their data will win in the end.”

Engates recommends testing transparency by also asking:

  • Where is the cloud? Can I see the datacenter?
  • Can I get my data out of your cloud?
  • Is my data wiped from the cloud when I delete it?
  • How do you protect my data from other people who have access to the cloud?
  • Have you ever had a data breach in your cloud?
  • Do you encrypt my data in transit? At rest?

Not everyone says they’re worried about security issues in the cloud. “A lot of this is more about irrational psychological barriers. It’s like saying I don’t trust the bank to keep my money,” says Geva Perry, chief marketing officer at GigaSpaces Technologies, whose products enable companies to run and scale high-performance applicationss on grids. “There’s no reason to think that any corporate datacenter is more secure than the datacenter of a serious cloud provider like an Amazon or a Google or any of the others. These companies specialize in running massive datacenters.”

“I would not shy away from using cloud-based services,” says Levin of LogLogic, “but I would demand that my cloud provider doubles down on security and compliance measures. I would ask simple questions such as ‘Will you know at any given time who is accessing my data?’”

As the cloud evolves and more people store data “there,” the most important security tool might be a really simple one: “You may have the best security people, the smartest technology, but are you ready to have the security conversation?” asks Balding. “Are you willing to engage at a meaningful level? The biggest problem today from outside the cloud is that security is definitely cloud y — when it needs to be transparent.”

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire