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Cloud Security Staffing Challenges & Considerations for GDPR

GDPR is something you hear rolling off the tongues of business owners who have EU clients. Full compliance and security are top priority for cloud deployments containing personal data of these citizens.

This doesn’t just mean a change in technology. Companies have been facing hurdles in investing resources and precious time in order to prepare their own internal cloud teams to specialize in Cloud Security. So, how can you be sure your company is ready to effectively design secure and traceable cloud-based solutions?

Have You Audited Your Personal Data Systems?

Email addresses, phone numbers, names, photos and IP addresses all fall within the GDPR range of data types defined as PII (Personally Identifiable Information). It’s time to take a good look at what your company collects in data. There are cloud services, such as Amazon Macie that assess and audit the data currently stored by your company in order to determine the impact GDPR will have.

Do yourself a favor – use this as an opportunity to switch up how your business is collecting data and what, exactly, you are banking.

Are Your Cloud Partners GDPR Compliant?

Both the cloud providers as well as the customer must be compliant under GDPR. What does this mean for your business? In short, it is imperative that all companies ensure their cloud partners (as well as any third parties that manage, process, and/or stores the personal data for EU citizens) have the appropriate controls and compliance in play.

Can Your Company Afford A Breach?

Unfortunately, a breach means more than just some data loss. Under GDPR, any PII breach could ultimately result in some severe fines. A comprehensive cloud security team utilizes effective monitoring services, data encryption, variable access, and rapid threat detection.

A continuous training strategy will help strengthen your Cloud Security team’s skills and knowledge in order to keep up with best practices. A strong team framework for your company’s Cloud Security will be the key for being GDPR ready.

Find Candidates With Experience

So, we’ve gone over the challenges – what’s a solution for your company’s Cloud Security staffing needs?

Professionals backed with experience are prime for such tactical positions. As an employer, when looking to bring in new candidates for such crucial and sensitive security roles, finding those with experience may be the most important item an individual can bring to the table.

Support Veteran Focus

At Charsky Group, we proudly uphold an environment that has a focus on military Veterans. We like to see all of our companies grow, but, as a SDVOSB, we emphasize Veteran focus. We uphold the highest of standards for teaming arrangements and we provide SDVOSB credits towards government contracting.

Our industry-backed credentials and affiliations highlight what Charsky Group is able to offer for your business staffing.

Together, we will find the perfect candidates for your Cloud Security staffing needs!

Charsky Group

When AI and IoT Collide

IoT and AI are both technologies trending rapidly in the industry today. Both represent huge transitions into capabilities that only a few years ago existed as science-fiction. While both stand alone, their value is multiplied when combined. This combination represents a much better ROI for enterprises, organizations and governments who are sponsoring and deploying solutions. This symbiosis of technology will enable AI to be more meaningful and IoT to be more productive.

Why IoT Needs AI

AI is comprised of many different mathematical algorithms to best answer questions across many different domains. Obviously, computers are good at math and now those same computers are so fast they can do the complex recursive calculations in real-time. That said, one thing AI always needs is training data.

For many companies doing AI today, that data has slowly been gathered over time with many users supplying the data. Whether it is people filling in the Google search bar, residents pushing buttons in elevators, or a receptionist in a medical clinic entering in patient information, large amounts of data have been collected in databases over the last several decades. This data is core to training computer models to correctly behave in an intelligent and predictive way. For years, this collected data has been a by-product of completing the core business function at hand.

IoT changes this process for everyone as devices and machines are far cheaper data collectors than humans. Sensors in a field, computers in automobiles, and smart tools all quietly gather and store data without any additional work on the part of the user. What previously required years of data collection and millions of dollars of investment is transformed into actionable insight by machines in a matter of months. This data, pumped into machine learning algorithms, and comprehended by experts, becomes the truly powerful AI we want in order to diagnose our diseases, drive our cars, and automate our industrial machines.

How IoT benefits from AI

At its core, IoT is nothing more than putting computers on all the things around us. Those computers usually don’t have a screen or keyboard, but instead do something basic like read a temperature, measure vibration, or turn on and off a light. IoT realizes its full potential when the data and the device are actionable. This means that not only is the data gathered from the sensors, but that the things in the ecosystem react in real-time.

The relationship of gathering data from one source and performing an action at another is sometimes called a feedback loop. For example, a temperature gauge sends the current reading from inside a milling machine, the milling machine has additional computers that turn the machine on and off. When the temperature reaches a certain threshold, the computer automatically turns down the RPMS of the motor and notifies the supporting technician of an emerging issue. logic to turn the motor off and on can be done via a very simple rule like “If the temperature is greater than 120 degrees, then turn off the motor.”

While many things in life can be optimized with simple rules, more often there is underlying complexity not accounted for. For example, maybe the motor should run hotter for short periods of time, or perhaps if the outside air is below 30 degrees, the engine should run to 140. These sorts of variables are less visible to the human mind, but are easily captured with AI. Taking the learned lessons of AI and bringing them into the decision process can completely optimize our processes. It means that the AI can identify what factors are truly relevant to the motor failing and what inputs have no effect. Essentially, AI can simulate the expert, who has gut intuition and years of experience about the systems we use. No longer does a specialist listen for a near inaudible noise, instead the AI systems can easily identify issues in the most optimal way. AI makes IoT actionable in the most powerful possibilities.

Putting them all together

It’s clear these two transformative technologies working in conjunction will enable businesses and cities to transform our everyday lives. Looking across the technology landscape, it will take technology, data scientists, domain experts, and system integration specialists working together to realize this vision. Hardware manufactures, connecting IoT platforms, cloud providers, and AI specialists will need to collaborate to create integrated architectures.

ClearBlade is the Edge Computing software company enabling enterprises to rapidly engineer and run secure, real-time, scalable IoT applications.
For more information, please visit https://clearblade.com/

 

ClearBlade, Inc.

Promoting best of practices of Green Technologies of Smart Cities

2018 IEEE Annual Green Technologies Conference of Smart City

April 4-6, Austin, TX

The IEEE Green Technologies Conference (GreenTech) is now in its 10th year, and the hope is to draw insights and encourage collaboration from many disciplines and backgrounds in order to address the most pressing challenges of our time–securing green and clean energy sources for the 21st century.

Apply discount code: GT180220 to get 20% off

The 2018 IEEE Green Technologies Conference theme is “Smart City.”
Smart cities seek to increase efficiency and improve quality of life by creating systems that reduce costs and improve services through connectivity and automation, incorporating techniques from sensing to analytics and leveraging the complementary technologies of IoT, wireless, 5G, Block chain, Cyber security, IPv6 and AI to deliver scalable, trusted and reliable solutions.

A rich conference program has been carefully developed that include: 5 keynote speakers from government and industry, over 24 panel and speaker sessions on diverse topical areas, along with 35 technical researched papers as well as 5 workshops. The conference will have exhibits, organized 2 technical tours and social/networking opportunities.

The conference program addresses relevant topics of interest including:
• Lessons learned from Global Smart Cities from Islander Malaysia, Sweden, EU funded smart cities projects, Mexico, Dallas, Austin and many others
• The future of Autonomous Vehicles and Autonomous Vehicle Infrastructure
• Distributed Grids and energy infrastructure for sustainability
• Enabling technologies such as block-chain for securing software and IoT devices supply chain, AI – For actionable intelligence, 5G and IPv6
• Smart city applications from metering, to lighting, to parking
• Opportunities and challenges in Human-centered Design for Smart Cities.

There are over 50 companies, academia and government agencies being represented at the conference.

Examples include:
City of Austin, Austin Energy, Austin Electric, Capital Metro, Cisco, Dell EMC, NXP, UT-Austin-CTR, Ford, Synopsys, Texas State University, IBM, Qualcomm, National Instruments, NIST, IPv6, ACUP, Resilient Grid, IEEE Standards Association, Representatives from several smart cities in Malaysia, Sweden, Mexico, Austin, Dallas, Houston, US Army, US department of Transportation, and others and also include several IEEE societies such as the Communications and Computer societies.
To learn more about the program at glance, see https://ieeegreentech.org/schedule/
We encourage you to visit our GreenTech website and witness some of the program details that we put in place. The conference program shows a carefully orchestrated and prepared program with multiple tracks, variation from keynote speakers, panel sessions, speakers, technical research, workshops, optional technical tours and great networking opportunities for dialogue and collaboration.

In addition, the conference offers a variety of patronage, sponsors and exhibit opportunities that bring value added contribution from companies and in return a high ROI for the sponsoring companies.

Please visit the conference site for more details https://ieeegreentech.org/

Conference schedule can be found at https://ieeegreentech.org/schedule/

Conference speakers can be found at https://ieeegreentech.org/speakers/

Register now at https://ieeegreentech.org/registration/

Hotel special negotiated rate is available for a limited time.

I would like to, of course, extend a sincere thanks to the Organizing Committee for their dedication and commitment and continued efforts. I know that their hard work is resulting in a great and differentiated and memorable conference allowing attendees to enjoy a fun and productive conference.

We hope that the topics presented and discussion will positively impact your company, your community and the country.

We look forward to welcoming you all to Austin, TX for the conference and enjoy the so many interesting, relevant, and important topics in the field of green technology of smart city.

For more information, please email f.behmann@ieee.org

Fawzi Behmann,
General Conference Chair, 2018 GreenTech of Smart City, April 4-6, Austin, TX

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