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Xiologix is proud to be an award-winning Fortinet “Expert Partner” which means that our engineers have achieved expertise meeting and exceeding Fortinet’s highest tier standards.

With Xiologix and Fortinet, your organization can be empowered with intelligent, seamless protection across the expanding attack surface and with the power to take on ever-increasing performance requirements of the borderless network – today and into the future.

The Security Fabric

The Fortinet Security Fabric platform provides true integration and automation across an organization’s security infrastructure, delivering unparalleled protection and visibility to every network segment, device, and appliance, whether virtual, in the cloud, or on-premises. The Fortinet Security Fabric connects Fortinet solutions to achieve true end-to-end security – working together to create a broad, integrated, and automated security solution. Weaving through the entire network―from the Internet of Things (IoT) to the cloud―the Fortinet Security Fabric provides superior protection against today’s sophisticated threats.

Having the right security woven throughout your network can make the difference between running a smooth, safe network or being the latest security breach headline.

In today’s world of ever-changing network architectures, the best solution is simplicity. Adopting security solutions that integrate and collaborate, sharing threat intelligence, and adapting accordingly, is the key to the success of your evolving network. The Fortinet Security Fabric is the answer you’ve been looking for.

We gathered select articles that may be of interest to you in your Fortinet Research. Xiologix is an award winning Expert Fortinet partner and can help guide you through your organization’s security options.  Please contact us if you have any questions.

Fortinet

Fortinet delivers the most innovative, highest-performing network security fabric to secure and simplify your IT infrastructure.

Fortinet Advanced Threat Protection (ATP) Framework

We continue to see a steady stream of high profile data breaches, generally from cyberattacks deceiving and evading legacy security solutions. As these attacks become more advanced, organizations must similarly improve their security posture.Fortinet Advanced Threat Protection relies on multiple types of security technologies, products, and research applied from the network edge through to endpoint devices. To deliver the most effective protection, they are integrated to work together automatically, continuously handing off data from one to the next to identify, evaluate and respond to attacks.

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Derek Manky 2018 Year In Preview

We have created a global society of universal connectivity, where individuals and organizations expect to have instant access to data and services across a variety of interconnected devices. It’s transforming our society. And it’s creating a rich vein of valuable information, goods and computing resources for our adversaries to extract, extort and exploit.

Fortinet Security Fabric Demo

This video provides a glimpse at the power of security without borders through the Fortinet Security Fabric using FortiOS 5.6 Beta 2.For a personal demonstration of the benefits of the Fortinet Security Fabric, contact Infosec Partners who are recognised by Fortinet as a leading cybersecurity agency and their first ever Partner of Excellence.By phone: +44 (0)845 2575903By email: fortinet@infosecpartners.com

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Undrstanding the IOT Explosion and its Impact on Enterprise Security

Enterprises and government agencies are embracing a digital transformation that is reinventing business models to better serve customers and drive new growth. The rapid adoption of new technologies and innovations is driving a global rethinking of traditional business processes and creating new ways to generate better business outcomes and quality-of-life improvements. This is being called the Fourth Industrial Revolution—a period of explosive productivity improvements driven by innovation, and the combination of technologies that unlock new business models.