Automation & cybersecurity strategy in manufacturing

ay Stauffer, Vice President of IT at LPW Group & former Director of IT at Brock Group, on cybersecurity in manufacturing & the benefits of ManageEngine Jay Stauffer heads up the IT department across LPW Group and its subsidiaries. From 1999 to 2018, he worked at Brock Group, first as a Senior Network Engineer and later as the Director…

ay Stauffer, Vice President of IT at LPW Group & former Director of IT at Brock Group, on cybersecurity in manufacturing & the benefits of ManageEngine

Jay Stauffer heads up the IT department across LPW Group and its subsidiaries. From 1999 to 2018, he worked at Brock Group, first as a Senior Network Engineer and later as the Director of Information Technology. LPW Group is the leading manufacturer of valves, fittings, flanges and related flow control products.

“We work closely with public and private organisations to ensure they have the custom parts they need when they need them,” said Stauffer. “As far as industries go, our customers run the gamut from petrochemical to oil and gas to defence.”

Here, Stauffer discusses cybersecurity issues in the manufacturing sector, labour shortages and automation’s role in security.

 

Cybersecurity challenges facing manufacturers

LPW Group faces the same struggles as any other manufacturing company, such as phishing emails.

“These are probably the most common threat and the hardest to block,” Stauffer says. “Human error also plays into this. For example, many users may use shared logins for machines and control systems on the warehouse floor. For this reason, it’s not uncommon to see passwords written in shared public spaces on whiteboards or pinned to the machines themselves, which is a security nightmare.”

However, prior to Stauffer coming onboard at LPW Group, there were several recent acquisitions. This has made it challenging to consolidate technology, processes and systems into one overarching IT department with a unified cybersecurity strategy.

“Since each organisation had its own third-party IT, we inherited disjointed systems when it came to security. Anyone who knows cybersecurity will know that disorganisation is a cybercriminal’s best friend, making this a challenge we needed to address ASAP.”

For this reason, LPW Group has operated with all hands on deck to consolidate the IT infrastructure and support.

“This past year, we’ve focused on standardising processes and organising under one common domain, network platform, phone system, productivity software, cybersecurity framework and more. A lot of little things add up to create a very intricate network to try to keep secure. However, this consolidation will not only help my team stay ahead of cybersecurity trends and threats, it will also boost our productivity and set a foundation for scaling the company.”

 

Dealing with labour shortages and the role of automation in manufacturing

Right now, Stauffer’s team is fairly small, with five internal staff members and two external organisations. But he is looking to expand the team in the new year as the company continues to grow.

“It also helps that we can lean on IT management partners like ManageEngine to optimise my small-but-mighty team,” he said. “ManageEngine automates some of the more administrative tasks so my team can continue to facilitate growth at LPW Group. We are pulled in many different directions as the role of IT continues to evolve. It’s really nice to have a trusted partnership with ManageEngine, which offers us a suite of solutions that can help automate my team’s day-to-day. For example, ManageEngine can monitor our digital environment and alert us when there are problems. This frees us up to continue with larger projects like consolidating our IT infrastructure.”

Stauffer sees automation playing a bigger role in the security landscape across manufacturing.

“Because we work with the US Department of Defense, we must not only stay on top of compliance, but go above and beyond. This means managing endpoints can be a very time-consuming task. Again, automation helps by allowing us to give time to other strategic initiatives.

“Automation has helped secure the manufacturing floor as well. It has reduced manual labour required for compliance reporting, which has helped us manage through the current labour squeeze in manufacturing. It has also given us the ability to automate the incident request and ticket creation process in the event of a phishing email or similar threat.”

Stauffer’s advice for other manufacturing companies looking to strengthen their cybersecurity strategy is to make sure that they are consolidating across their organisation.

“Even though cyberthreats are continuously evolving and criminals are always coming up with new ways to target manufacturing organisations, security is much easier to manage when you’re organised. I would also advise others to find a trusted partner in cybersecurity to help save you time and money in the long run.”

Top 10 Manufacturing AI Platforms

In this Top 10, we take a look at what the leading AI platforms offer their users, listing based on their company value Both a powerful source of positive disruption and a tool to gain a competitive edge, artificial intelligence (AI) is gradually being implemented into most aspects of everyday life. And as the digital…

In this Top 10, we take a look at what the leading AI platforms offer their users, listing based on their company value

Both a powerful source of positive disruption and a tool to gain a competitive edge, artificial intelligence (AI) is gradually being implemented into most aspects of everyday life. And as the digital world continues to rapidly transform and accelerate in the wake of COVID-19, manufacturers will need to recognise the importance of AI within their business.

  • Wipro

“Make AI your Ally.” Wipro Holmes helps organisations to transform their operations with augmented intelligence.

Wipro Holmes offers AI-powered customisable solutions and trusted augmented intelligence to reimagine processes, accelerate growth, and be at the forefront of transformation.

Wipro Holmes allows users to build and deploy in fast, scalable and trustable environments to make smarter and human-centric decisions.

Top Three Features: data-led, responsible, and synchronous with businesses

Revenue: US$8.3bn

Founded: 1945

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  • Google Cloud

Google Cloud Vertex AI offers organisations the opportunity to build, deploy and scale machine learning (ML) models faster, with pre-trained and custom tooling in one unified platform.

Key features of Vertex AI include: a unified UI for the entire ML workflow, pre-trained APIs, end-to-end integration for data and AI, support for open-source frameworks, the ability to understand and build trust in your model predictions and many more.

Top Three Features: train without code, build advanced ML models with custom tooling, manage models with confidence

Revenue: US$13.0bn

Founded: 1998

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  • Infosys

Offering end-to-end enterprise-grade AI to simplify the adoption journey for businesses and IT, Infosys Nia addresses a variety of operations, from data management and the digitisation of documents and images to model development and operationalising models.

With 86% of enterprises not being able to move from AI experimentation to production, 68% struggling to derive insights from documents, and 40% finding it difficult to manage siloed data assets, Infosys Nia can mitigate these challenges to assure a faster time-to-value for AI implementation.

Top Three Features: end-to-end enterprise AI, faster time-to-value, and simplification

Revenue: US$13.8bn

Founded: 1981

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  • Salesforce

“Hello, productivity.” Salesforce Einstein helps organisations to automate anything and integrate everything.

Einstein offers AI-infused bots and workflows, with multi-user processes, as well as integrated data for a seamless experience, automated integrations to boost productivity, smart automations that are digital-first and industry-specific, and pre-built, ready-to-install partner solutions – including templates, robotic process automations (RPAs) and building blocks for flow automation – to avoid starting with a blank slate.

Top Three Features: productivity, click-based configuration (no-code), and a seamless experience

Revenue: US$17.1bn

Founded: 1999

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  • HPE

Unlock the value of data with HPE’s flexible AI solutions. HPE AI provides organisations with universally accessible data and an IT infrastructure that is flexible and unbound. HPE AI is data-driven, production-orientated, and cloud-enabled so that it is available anytime, anywhere, and at scale.

Oracle breaks down its capabilities into three key areas:

  • Operationalise, optimise and orchestrate AI
  • Speed design and deployment of an AI strategy
  • Manage costs, risks and returns

Top Three Features: scalability, cost control, and flexible

Revenue: US$27.0bn

Founded: 2015

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  • Oracle

Oracle AI, build an intelligent enterprise. Using pre-built AI, data-driven cloud applications, and a comprehensive portfolio of infrastructure and cloud platform services, Oracle helps organisations to automate operations, innovate and make smart and secure decisions.

Oracle has five products within its portfolio: Oracle AI Apps, Oracle Data Science Platform, embedded machine learning in Oracle Cloud, Oracle Digital Assistant, and Oracle DataFox.

Top Three Features: comprehensive, software as a service (SaaS), choice of data management platforms

Revenue: US$39.07bn

Founded: 1971

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  • Microsoft

Bringing AI to every developer, Microsoft Azure AI helps businesses to innovate and accelerate with the help of powerful tools and services.

Microsoft offers users a portfolio of AI services such as computer vision to extract rich information from images to process and categories visual data, language understanding to interpret human language and understand the intent, and text analytics API to recognise emotions in speech.

Top Three Features: high quality, flexibility rich information and decision making

Revenue: US$41.7bn

Founded: 1975

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  • IBM

IBM Watson, ‘AI for smarter business’. IBM platform offers a portfolio of business-ready tools, applications, and solutions to allow users to reduce costs and hurdles of AI adoption while optimising outcomes and responsible AI.

IBM Watson breaks its features down into four categories:

  • Trust – transparent processes with AI Led insights, data privacy and compliance, with an open and diverse ecosystem.
  • Language – understanding a business’s language with natural language processing, analysing complex unstructured data, computer code, and industry-specific jargon.
  • Automation – streamline how a business operates and yields leaps in productivity. Intelligently automate almost any work.
  • Anywhere – working securely on the cloud bringing AI to data wherever it is.

Top Three Features: transparency, optimisation, and cost reduction

Revenue: US$73.6bn

Founded: 1998

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  • Intel

With a historic legacy of democratising technology, Intel is making technology simple, faster, and cost-effective. Intel strives to allow everyone to infuse AI into their applications with its broad choice of smart solutions and tools. Intel uses scalable and open oneAPI standards to unlock limitless insight for its users from edge to cloud.

Intel’s AI services are broken down into solutions, software and hardware, to help organisations not only get started with AI Builder but to build faster and smarter with Intel Optimised AI Software and to accelerate flexible AI with Intel AI Hardware.

“Seamlessly build and deploy AI applications at scale. It all starts on a foundation of Intel® Xeon® Scalable processors, accelerated with Intel-optimized AI software” – Intel

Top Three Features: scalable, fast, and cost-effective

Revenue: US$77.8bn

Founded: 1968

  • Amazon

Easily integrated, Amazon’s pre-trained AWS AI Services provides users with ready-made intelligence for applications and workflows.

Amazon’s AI services require no machine learning to operate. Instead, Amazon uses its deep learning technology that powers Amazon.com to address common use cases such as personalised recommendations, modernised contact centres, improved safety and security, and increased customer engagement.

In total, Amazon offers 19 AI services and 12 solutions, including demand forecasting, chatbots, advanced text analytics, fraud prevention, and personalised recommendations.

“GE Appliances processes millions of minutes of customer calls a month. Using Amazon Connect, Amazon Lex, and Amazon Polly, we can automate simple tasks such as looking up product information, taking down customer details, and answering common questions before an agent answers” – Byron Guernsey – Chief Strategist, GE Appliances

Top Three Features: quality, accuracy, and continuously learning API

Revenue: US$386.1bn

Founded: 1994