Welcome!

Blog Feed Post

What’s the future for cloud security

Porticor is the leader in cloud security, delivering secure, easy to use, scalable solutions for data encryption and key management. Porticor enables companies of all sizes to keep their data safe, comply with regulatory standards, and streamline operations.Founded in 2010 by experts in security, cloud computing and cryptography, Porticor protects critical data in public, private and hybrid clouds. Within minutes, customers can encrypt their entire data layer using proven encryption algorithms. Porticor VPD™ is built for homomorphic split-key encryption, a breakthrough technology offering the convenience of cloud-based key management without sacrificing trust.In the following interview, Gilad Parann-Nissany, Chief Execeutive Officer of Porticor Cloud Security, discusses 1:1 with Rake Narang, Editor-in-Chief of Info Security Products Guide, the future for cloud security and why enterprises will be willing to outsource their security requirements.

Rake Narang, Editor-in-Chief: What are the top 5 issues you hear from customers regarding cloud security?

Gilad Parann-Nissany: Customers we talk to are pretty consistent, usually raising these data security concerns:

  1. High Security
  2. Regulatory Compliance
  3. Flexible deployment & provisioning
  4. Dealing with Complexity
  5. Effective Key Management

There is a strong industry consensus that security, along with regulatory compliance, is the #1 barrier to adoption of cloud computing. Underlining these concerns is the need to establish trust – an organization can outsource its storage or its compute resources, but it cannot outsource confidentiality!

At the same time, companies are attracted to cloud computing for its advantages: flexibility, elasticity and the pay-as-you-go economic model. Customers in the cloud can bring up servers and storage in minutes, and they expect a security solution to provide the same high degree of automation and management.

Customers cannot accept a tradeoff between security and flexibility. They expect the security vendor to deliver the best of both worlds – a strong data security solution which does not compromise the cloud values of flexibility and elasticity. This is not an easy task.

What’s required is a solution to “all of the above”: up in minutes; pay as you go; using the strongest proven encryption algorithms; and ensuring auditability and regulatory compliance.

The needed breakthrough should mean customers’ data is always encrypted, and the master encryption keys are themselves encrypted, even when in use. Key splitting and homomorphic technologies are the secret sauce that can solve this challenge. And this creates trust.

About Gilad Parann-NissanyA pioneer of Cloud Computing, Gilad has built SaaS Clouds for medium and small enterprises at SAP (CTO Small Business), contributed to several SAP products and reaching more than 8 million users. Recently he has created a consumer Cloud at G.ho.st – a cloud operating system that delighted hundreds of thousands of users while providing browser-based and mobile access to data, people and a variety of cloud-based applications. He is now CEO of Porticor, a leader in Virtual Privacy and Cloud Data Security. What’s the future for cloud security
inShare
Rake Narang: What’s the future for cloud security? Why will enterprises be willing to outsource their security requirements?Gilad Parann-Nissany: At the highest level, the message of the cloud is freedom to focus on organizational core strengths and outsource non-core activities like purchasing servers and deployment. In the same way, it makes sense to outsource security.Nevertheless, achieving data security in the cloud is a difficult challenge. It’s a little like having your cake and eating it; Enterprises want trust and outsourcing at the same time.

We are seeing great investment by cloud providers and security vendors, and the direction is promising. In some ways, because it allows better management and flexible control of resources, cloud computing can be more secure than traditional IT. This was recently recognized by the NSA director and U.S. Cyber Command commander, Gen. Keith Alexander.

In other ways, fundamental breakthroughs in technology are still needed. We see these coming from the fields of key-splitting technology and homomorphic encryption. If these are properly implemented, they allow you to be in the cloud without losing control, because sensitive data or keys are encryptedeven when in use in the cloud, which means cloud providers cannot know them, and even security vendors never know them.

This is the kind of breakthrough that enables trust. Your “security cake” remains whole, and you still enjoy your slice of pay-as-you-go.

So the future of the cloud security industry is rosy, because it is precisely on trend: enterprises will want to outsource complexity to experts who can deliver breakthroughs, while maintaining the confidentiality of information.

Rake Narang: So focusing on cloud security, when is it possible to use classic solutions and where is it necessary to implement new solutions?

Gilad Parann-Nissany: Cloud computing is not one technology; it is the confluence of many advances in virtualization, service enablement, operations, commoditization and industrialized environments. Many well-known technologies from previous innovation rounds – continue to work in the cloud.

This is just as true in the security market, where technologies like firewalls, virtual private networks or data leak prevention – remain very relevant. With these, the right strategy for Enterprises may be evolution: this often involves taking an existing approach, deploying it in the cloud, and then – crucially – wrapping it in an API (application program interface) so that it can be automated in the cloud’s industrialized environment.

But some areas do require new solutions.

  1. The role of encryption changes, since data is no longer between the “four walls” of the enterprise
  2. Encryption Keys management is critical, since keys cannot be simply stored in the cloud
  3. New cloud storage technologies, i.e. distributed data storage, require security
  4. New data protection measures emerge, for example fragmenting data in many pieces in the cloud
  5. Hypervisors and virtual machines are an area of ongoing research
  6. Physical security of cloud environments is required

The community has provided useful results for hypervisor security, and the best cloud providers do a great job of physical security. Yet new technologies, such as split-key management and homomorphic encryption, have a critical role to play. This will, for the first time, enable enterprises to outsource the complexity while keeping control and confidentiality.

Company: Porticor Cloud Security
Tel Aviv, IsraelFounded in: 2010
CEO: Gilad Parann-Nissany
Products and Services: Porticor® Virtual Private Data™ systemCompany’s Goals: Enable trusted cloud computing, especially by securing data at rest, for companies of all sizes. We do this by providing, for the first time, an encryption and key management system that does not expose customer data or keys to cloud or security providers, while offering the highest degree of security, the quickest and most cost-effective operations, and excellent performance.

Read the original blog entry...

More Stories By Gilad Parann-Nissany

Gilad Parann-Nissany, Founder and CEO at Porticor is a pioneer of Cloud Computing. He has built SaaS Clouds for medium and small enterprises at SAP (CTO Small Business); contributing to several SAP products and reaching more than 8 million users. Recently he has created a consumer Cloud at G.ho.st - a cloud operating system that delighted hundreds of thousands of users while providing browser-based and mobile access to data, people and a variety of cloud-based applications. He is now CEO of Porticor, a leader in Virtual Privacy and Cloud Security.

Latest 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 d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
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-c...
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, Le...
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 ...
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.
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.