Smart Farming depends on internet of things (IoT) devices and sensors to monitor vast farm fields, guiding farmers’ decisions about crop management through rich data. But it only takes one security flaw for all stakeholders within the ecosystem to be impacted. If hackers gain access to a single sensor, they can navigate their way to the farm-management application servers and manipulate data. Crop productivity levels are falsified, both basic and complex condition-monitoring systems are distorted, and real-time harm occurs through automatic IoT sensors. At stake is not only the productivity of crops, but the food that supplies livestock and humans: What if there was no corn for you?
Organizations are losing the cybersecurity race.
Cyber threats are evolving faster than security teams can adapt. The proliferation of data from dozens of security products are outpacing the ability for security teams to process it. And budget and talent shortfalls limit the ability for security teams to expand rapidly.
The question is how does a network security team improve the ability to scale and minimize data breaches, all the while dealing with increasingly complex attack vectors?
The answer is automation.
With the growing online availability of attack tools and services, the pool of possible attacks is larger than ever. Let’s face it, getting ready for the next cyber-attack is the new normal! This ‘readiness’ is a new organizational tax on nearly every employed individual throughout the world.
Deciding on an appropriate application delivery controller (ADC) and evaluating the need for supporting infrastructure is a complex, complicated, and challenging job. Such challenges result from the fact that ADCs are increasingly used across diverse environments and virtual, cloud, and physical appliances.
When Apple unveiled the iPhone X, it catapulted artificial intelligence and machine learning into the limelight. Facial recognition became a mainstream reality for those who can afford it. A few months later, Vietnamese cyber security firm Bkav claimed it was able to bypass the iPhone X’s Face ID using a relatively inexpensive $150 mask. The claim is still up in the air and while it has not been accepted to its full extent, no one was actually able to refute the claim based on scientific facts.
The following is a Q&A with Ron Winward. Ron is a Security Evangelist for Radware, where he helps execute the company’s thought leadership on today’s security threat landscape. Ron brings nearly 20 years of experience in the internet service provider space, most recently as Director of Network Engineering for a global infrastructure and colocation provider. With an expertise in network architectures and DDoS mitigation, Ron has helped design solutions for carriers, enterprises, and cyber security service providers around the world.
Behind every new hack or data breach, there’s a company scrambling to put out the fire. That’s good news for cyber security professionals with the right skills. However, between shortages in qualified security professionals, evolving attack vectors, and new DDoS mitigation capabilities and deployment models, organizations looking to safeguard themselves can be left in a difficult position when it comes to finding the best talent, whether it be in-house or outsourced.
Many organizations have a guidance to cut IT spending while rolling out secure application services in a continuous delivery model. Many R&D teams in these organizations have adopted Agile and DevOps practices to enable faster delivery. The goal of Agile and DevOps practices is to deliver applications quicker and to deploy them with a lower failure rate than traditional approaches.
In April 2017, we conducted a global survey of C-suite executives. All respondents represent organizations with at least $250 million (or the equivalent) in annual revenue. Our goal: to understand their greatest challenges, threats and opportunities when it comes to cyber security.
I recently met with a regional cloud service provider (CSP) that has adopted provisioning on demand as their IT model. They spin up applications on demand, having virtualized most of their infrastructure and have developed tools to automate the provisioning of applications and servers for customers/tenants through a self-service portal. Rather than build-out and manage more and more physical infrastructure, with associated time and expense, the CSP is adopting the concepts of software-defined data center (SDDC) that builds on virtualization (of software, networking and storage) to offer software and network services for many different clients. More importantly, the CSP is also catering to needs of DevOps and IT architects – both internally, and externally for its tenants/clients by enabling true self service through automation.
Playing a stringed musical instrument like a guitar means that the different strings need to be regularly adjusted to play the correct note. Guitar players tightened and loosened the strings to tune the guitar. The strings were tuned by ear, which meant that the person tuning the guitar had to know what sound each string had to make with considerable accuracy.
With modern technology, there are tuners that can generate tones so one no longer needs to know exactly what each note sounds like. And, today, there are tuners that will automatically adjust the tension in the string to create the right tone with no human intervention. This is a great benefit for guitar players because they like to play music, and not spend a lot of time and effort tuning their instrument every time they wanted to play.