Welcome!

Java IoT Authors: Liz McMillan, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui, Pat Romanski

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Microsoft Cloud, Containers Expo Blog, Cloud Security

@CloudExpo: Blog Feed Post

Hybrid Cloud Security Challenges

Transitional cloud security strategies are needed that continue to make use of existing data centers and security strategies

The growing rate of hybrid cloud adoption requires particular models of cloud security. Many enterprises are moving some of their workload to a public cloud environment while retaining other workloads in the private cloud. Transitional cloud security strategies are needed that continue to make use of existing data centers and security strategies. Because each enterprise splits up their data between public and private clouds in a unique way, data security methods must solve multiple challenges:

  • How to secure on-premise data center resources
  • How to secure applications when they migrate to the public cloud
  • How to secure data stored with multiple cloud service providers
  • How to protect virtualized underpinnings of public and private clouds
  • How to secure mobile devices which connect to the cloud infrastructure

The key to addressing these issues is taking a holistic approach to cloud security.

Securing Data in the Cloud with Encryption

Securing Data in the Cloud hybrid clouds Cloud Security  securing data in cloud hybrid Hybrid Cloud Security ChallengesThe issue of data ownership becomes even more important in hybrid cloud scenarios because they involve data in multiple locations. There is only one best practice for securing data in the cloud with systems that involve multiple private and public locations: encrypt the data in a way that allows all systems to continue working transparently and to maintain ownership of the data through ownership of the encryption keys.

A technological breakthrough in this area is split key encryption, which elegantly settles the issue of ownership of encryption keys. This method encrypts each “resource” (a disk, a database row, a file, etc) with a combination of two keys, one of which, a master key, is owned only by the enterprise. With this method, only the owner of the data ultimately controls the encryption keys.  Maintaining control of the encryption keys eliminates the possibility that someone else has control (i.e., cloud providers’ employees), so the issue of ownership is settled in an elegant way.

Split key encryption can be further enhanced through homomorphic key management, which keeps encryption keys encrypted at all times – even when they are in use. This way, the data can be used without the master key ever being exposed. If a hacker steals a master key in its encrypted form, it cannot be used by the hacker.

Another great benefit of securing data in the cloud with split key cloud encryption and homomorphic key management is that in the unlikely event that a security breach does occur, these measures allow enterprises to claim “Safe Harbor.” Having taken these precautions and achieving Safe Harbor means that they are relieved from many of the reporting requirements and the regulatory fines usually associated with a breach, since they can show that the data is encrypted and the encryption keys are safe.

In hybrid cloud scenarios, the combination of these methodologies allows you to protect your data across multiple cloud locations and achieve “Safe Harbor,” thus also protecting yourself.

Click here to learn more about Porticor’s solutions for hybrid cloud security.

The post Hybrid Cloud Security Challenges appeared first on Porticor Cloud Security.

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.

IoT & Smart Cities Stories
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...
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 ...
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...
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.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...