Software Defined Networks

 

SDN is an emerging technology that provides an innovative approach for dynamic network architectures. Key advantages include: reduction of technical complexity, rapid optimization for new systems, drastic cost reduction, and the substantial decrease in manpower to deploy, manage, and administer corporate enterprise infrastructures.

 

Significant advantages in automated controls and synchronized security components are also major benefits. These capabilities allow us to quickly move from design to deployment of complex network architectures. Our implementation of advanced cyber security methodologies such as zero trust and leading edge cyber artificial intelligence (AI) algorithms into our integrated SDN systems have proven to radically improve system security.

 

Our recent initiative includes “forced convergence” of advanced network technologies into comprehensive SDN solutions. AI and deep learning are examples of technologies not integrated into traditional network architectures. Our R&D has proven that the incorporation of these technologies greatly increased the automated advantages of our SDN approach to detect, control, and respond to illicit network behavior.

 

Vast improvement in network resource availability and coordinated access to applications can be realized by the automated ability to dynamically change rules and behaviors on enterprise systems. Tasks such as prioritizing or blocking specific communications at a granular level are performed instantaneously. Combined, these capabilities allow software to control network traffic, bandwidth intensive loads, applications, and systems resources efficiently without human involvement.

Zero Trust Networks

 

Traditional network security implementations are designed with the assumption that a layered defense is the best approach. This “castle moat” style of perimeter security plays into the hands of adversaries because once they breach your network, they are generally free to traverse it laterally and expose additional weaknesses from inside.

 

Our Zero Trust Network (ZTN) methodologies incorporate technologies that enable highly dynamic self-generating security protocols. These components react instantaneously to new or emerging threats. To ensure robustness, we have implemented this methodology and supporting technologies within traditional and new architectures such as software defined networking fabrics. ZTN systems represent an innovative security expansion of our extensive Active Defense technologies solutions suite—security technology solutions we have been providing to Clients for over a decade.

 

Instead of constructing networks that assume perpetual security, we presume resolute adversaries will eventually gain access to corporate targets whenever exposed. This rational enforces the creation of solutions that adapt to the constantly mutating threat landscape. This is accomplished by continually adjusting the trust level of users based upon user actions and systems behaviors. As individuals attempt to perform actions that deviate from their approved or accepted normal usage pattern, our solutions lower their trust levels and restrict access to systems resources. Where detrimental or damaging behaviors occur, the solution curtails systems access immediately and reports these behaviors automatically. Compromised hosts are intelligently isolated and eliminated as a network threat without human intervention. Technical threats are thwarted and, perhaps more importantly, social engineering and insider threat attack vectors are mitigated as well.

Cloud Computing Technologies

 

Exploring disruptive technologies that hold the potential to dramatically alter business is a key ingredient of our research initiatives. Our efforts are focused on applied technologies, ones that provide immediate to near term impacts. In some instances, new technologies need additional capabilities to realize their power.  Discovering multiple paths ahead to realize a technologies’ promise. Our research is geared to improving the state of technology and increasing its impact.

 

We have been conducting advanced research on Cloud technologies for over a decade. Our multiple patents in securing Cloud and Internet of Things (IoT) technologies showcases our resolve in creating better technologies. Where adoption overshadows aversion to change.

 

Cloud computing has become tremendously utilized in the past several years. Its rapid implementation has provided unparallel advantages to many organizations. However, with rapid adoption comes unknown risks and threats emerging with these pervasive solutions. For the past five years, one of our key efforts has been devoted to securing this family of technologies. That work continues today. Finding new approaches to both use and secure cloud-based technologies and solutions.

 

The heavy lifting of our initiatives is focused on the following components and underlying capabilities:

 

Public Cloud technologies for enhancing security and dramatically improving successful integration practices, quality of service, and new technologies for Infrastructure as a Service (IaaS) and Software as a Service (SaaS) solutions.

 

Private Cloud Security and integration technologies to drive high availability of critical enterprise data and operations.

 

Hybrid Cloud cross integration, data safeguarding, encryption, and security technologies for distributed operations and applications.

 

Community Cloud Security and orchestration technologies for group integration for shared infrastructures.

 

The above representation is only a small sample of our research activities and technology initiatives in cloud computing. Experience our efforts. Engage our team and brainstorm the way ahead.

 

To discover more, Mr. Oliver Alvarez is our Digital Practice lead and can be reached at oalvarez@iomaxis.com.

Patent Portfolio

 

Our patent and intellectual property portfolio is driven by our research and development (R&D) programs, where unaddressed technology gaps are identified and targeted for novel solutioning. All intellectual property created by the IOMAXIS R&D team is leveraged by us and our Clients to gain competitive advantages.

 

Our past R&D focus has been to strategically develop a portfolio of patents targeting novel security approaches, methodologies, and processes for protecting and safeguarding emerging technologies. As our R&D efforts grow, we will broaden this focus to include disruptive technologies. For us, our realigned efforts will center on technologies that are best suited to protect our Clients and strategic partners as well as bring additional value to the company. An example of our renewed research strategy is our current pursuit of artificial intelligence (AI) and software defined networking (SDN) intellectual property and patents.

 

List of Current Patents

 

Method and System for Identifying Virtualized Operating Systems Threats in a Cloud Computing Environment

Patent Number:  9,298,489

 

Method and System for Identifying Virtualized Operating Systems Threats in a Cloud Computing Environment

Patent Number: 9,542,213

 

Method and System for Securing and Protecting Smart Devices with the Internet of Things Ecosystem

Patent Number: 9,853,945

 

Method and System for Securing and Protecting Smart Devices with the Internet of Things Ecosystem

Patent Number: 9,860,213

 

Method and System for Enhancing Application Container and Host Operating Systems Security in a Multi-tenant Computing Environment

Patent Number: 10,001,990

 

David Branca is the Director of Research and Development and can be reached at dbranca@iomaxis.com.