By Ken Vormwald is Product Manager at Allegro Development
The future has already arrived for utilities companies. But it’s not evenly distributed yet. Emerging technologies and changing consumer habits are forcing utilities to completely re-visit their century-old business models – and the systems that enable them.
The cost of solar continues to drop while consumer demand for renewables continues to rise. Highly responsive urban microgrids that optimize usage are gaining adoption. Tesla’s PowerWall product promises to make in-home energy storage a reality within this decade.
Those changes are pushing utilities towards a more distributed model of generation that all but guarantees even more disruption – along with reduced income from electricity sales as more and more people generate their own.
With all the embedded systems being installed in homes and businesses you’d think that technology would also make predicting and pricing consumption in this new environment easier.
The truth is that all that data being sent back to the IT mothership is too much for many legacy IT systems to analyse quickly. The business insights and improved visibility of risks that big data promises are needed now more than ever, particularly to inform the trading decisions utility companies make about their supply chains.
Because if changing market dynamics weren’t enough risk to manage, you now have to add the unremitting worry of extreme weather. The last few years have shown it to be a near constant that lands without precedent or warning, crashing generation capacity when a polar vortex or heatwave descends, or dampening demand during an extended El Nino Winter.
How can utilities better understand the future impact of weather on both power demand and supply, manage a multiplicity of distributed generation sources, take the steps toward a distributed generation model with minimum pain and disruption, plan the availability of fuel, and deal with associated price swings?
It’s a big ask, but the answer may well lie in – yes – more technology. But this time in systems that can deal with torrents of data to manage unpredictability and risk.
Demand goes up, even if consumption drops
Global demand for power is set to grow by about 85 percent between now and 2040 as living standards rise, economies grow and the electrification of society (see mobile devices, the internet of things and the rise of wearables) continues.
And yet — demand for fuel to produce that power is only projected to rise by 50 percent. For that blame more and more customer-owned generation and improved energy efficiency in generation and transmission. Flat or negative growth to utility revenues has been the result.
If utility companies are going to wring profits from a fast-evolving and shape-shifting marketplace, they have to find new ways to optimize their resources and reduce costs. One way to do that is to invest more in systems that provide intelligence for short-term planning issues like unit commitment and bidding.
It’s easy to say but harder to do. As an asset-intensive industry with major capital commitments, utility companies have always emphasised long-term planning — often conducted separately from short-term planning, and where both tend to be done in isolation from the trading desk.It’s asiloed approach that blurs awareness of the market risks that arise when planning for future portfolio enhancements or resource needs. Significant cultural change may be needed alongside technological changes.
Regulatory changes are another area of extreme risk for utilities. The complexity of reporting, markets, transactions, contracts and accounting rules generate special challenges in complying with the ambiguities of regimes such as Dodd-Frank, REMIT, EMIR, MiFID II and others.
Without accurate internal audits and proper governance, utility companies involved in energy trading can be exposed to significant risk. Forward-looking traders, meanwhile, are seeing that better visibility into the non-standard, structured deals in their portfolios could create new opportunities.
Further complicating matters for utilities are the ever-increasing pressures from global environmental agencies to curb and manage their carbon emissions. Proposals, such as the US Environmental Protection Agency’s comprehensive Clean Power Plan, are expected to affect carbon-fuelled generating plants around the world. Likewise, in Europe, the 7th Environment Action Programme outlines sustainability and biodiversity objectives based on low-carbon growth.
Not only will utility companies need to manage the physical aspects of these new regulations, they will need to facilitate the complex process of dealing with emissions credits and potential new cap-and-trade markets.
With so many factors disrupting their business models, utility companies need to invest in technology that can mitigate the risks they face. Management needs better access to information and tools for decision making, not only for executives, but also for personnel engaged in planning and trading. Without a commodity management platform, they may not be able to accurately dispatch generation, manage contract terms or pass regulatory scrutiny over feed stock purchases.
The assumption has always been that IT will provide access to the right insight. However, the industry has grown up with a dog’s breakfast of homegrown and off-the-shelf energy trading and risk management (ETRM) applications that may not be ready to meet the needs of todays’ power and utility markets. Spreadsheet-based applications, in particular,typically need a high level of expensive customization each time a new type of generation or fuel is added.
A utility commodity management system should at minimum feature robust analytics, such as forecasting, simulation and optimization; standardized models and forecasts to ensure consistency in analysis,with the ability to trace back model results and assess risk across power and gas portfolios; forecasting, simulation and optimization analytics integrated with energy trading and risk management applications; and simulation of market, outage and weather scenarios fast enough to handle trading requirements.
Before you begin evaluating solution providers, understand your company’s strategy for hedging risk and complying with regulations in detail. Take an inventory of your most used resource analytics, but also consult traders, risk managers and planners to understand what they need to be successful.
The best approach to reduce the total cost of supporting legacy systems or spreadsheets is to invest in a suite of applications that integrate energy trading and risk management with analytics. This approach will also ensure consistency of information across the organisation, which is essential if utilities are going to return to profitability and growth.
What does cybersecurity look like for the financial sector in 2021?
By Neill Lawson-Smith, managing director at CIS
The landscape is changing incredibly fast, with cybercriminals using the most up-to-date technology to hack systems. Here are the six areas those in finance should be watching out for…
The finance and insurance sector is increasingly becoming a notable target for cyber attacks. Many of these breaches happening are believed to be due to inadequate security measures when teams or businesses are using cloud services.
The financial industry is also being affected by changes in processes with more fintech, virtual banks, and other digital disruptors impacting the market. The landscape is changing incredibly fast, with cybercriminals using the most up-to-date technology to hack systems, so it is therefore up to the financial sector to keep up to avoid security breaches.
What does this look like for the year ahead in the financial sector? Here are the Six areas those in finance should be watching out for:
- AI securityand cyber defence
Both Cybercriminals and cyber defence are commonly using Artificial Intelligence (AI). In cybersecurity, it is used to identify new threats, as well as assess the effectiveness of the responses to threats, enabling them to foresee and essentially block attacks before they happen. It is also used to spot behavioural patterns and can quickly identify possible infiltrations.
Hackers have also started to use AI to make it easier for them to get past security systems in place. This year, it is likely that AI will be increasingly used as a means of gaining personal details (i.e. credit card details) as well as optimising spam phishing campaigns.
- Mobile cybersecurity in banking
With the number of consumers using their mobile devices for banking and financial transactions increasing, especially since the COVID-19 pandemic has rendered society predominantly cashless, cybercriminals have been heavily targeting mobile systems. For example, mobile malware only targets mobile phone operating systems. The most common forms of mobile malware are virus and trojans, spyware and madware (mobile adware), phishing campaigns, and browser exploits.
This means it is now more important than ever to protect mobile devices to the same extent as traditional hardware.
The same protocols that are in place to ensure your staff PCs and laptops are secure now, need to also be applied to their mobile devices as well, such as:
- Ensuring the latest versions of the operating system and other applications are installed.
- Installing a firewall.
- Enabling mobile security software to protect against malware and viruses.
- Using password protected lock screens.
- Ensuring apps are only downloaded from official sites like Apple App store and Google Play.
- Multi-factor authentication
Multi-factor authentication adds an extra layer of security to all your business networks by ensuring every transaction or login is supported by at least two security measures for access. It is one of the easiest security measures to implement within your business and is becoming more common within the financial sector for many transactions. The traditional username and password are becoming increasingly easy for cybercriminals to acquire, whereas adding an extra identification method, that is not easily accessible to the hackers, ensures an extra layer of protection.
The most commonly used multi-factor authentication methods are:
- Passwords – They should be complex and comprise at least eight characters and be a combination of upper- and lower-case letters, numbers, and special characters.
- One-time use code – A randomly generated code sent via SMS or email which is used only once. With weaknesses in mobile networks and email accounts, these can however be intercepted by hackers.
- App generated codes – a code generated by an app on a mobile phone often created by scanning a QR code that contains a ‘key’. As the key is stored on the phone itself this is less likely to be intercepted by a third party.
- Physical authentication keys – this is a USB which the user inserts every time they login from a new computer. Unfortunately, they don’t work on all devices without adapters (such as iPhone, MacBook or Android).
- Biometrics – Using a fingerprint, voice, or an eye dent is an effective identifier. They are extremely difficult to hack but if they are, they cannot be used ever again for anything.
- Information – this could be something that only the user would know – either a password or a piece of information.
Most of these methods are free or relatively cheap to implement and don’t require anything other than a mobile phone for the user. The added security of multi-factor authentication means even if a hacker has acquired a username/password combination there is still an extra security barrier preventing access.
- Refined testing
As the finance industry is constantly changing, then so too are the security threats. Financial cybersecurity is an ongoing commitment, so installing new anti-virus software and implementing MFA, and stopping there is not going to keep you protected for long. It requires ensuring software and firewalls are up to date as well as ensuring access is regularly updated. In addition to this constant maintenance regular testing of the systems is essential. All systems have vulnerabilities, and as these change, cybercriminals learn to overcome them, and therefore software develops.
One thing to remember is that it is not possible to be over-cautious when it comes to cybersecurity. Regular penetration testing essentially identifies any weaknesses in your systems before the cyber criminals do. It is essential to schedule penetration testing or vulnerability scans at least once a quarter unless compliance dictates otherwise. They can be carried out using a vulnerability scanner.
- Hiring the right people
It is crucial to have the right team on hand to ensure your systems are up to date, regularly tested and maintained is essential.
Your IT team should have the following skills and knowledge:
- Knowledge and understanding of the company’s IT infrastructure
- Knowledge of cybersecurity best practices
- Understanding of company processes and data flows
- Up to date knowledge of cybersecurity solutions
- Plan a Defence, Prepare for Attack…
Although businesses can take many precautions, there are limitations on skills, investment and timescales in implementing a comprehensive cybersecurity infrastructure, it is essential that appropriate procedures, policies and processes are established to ensure that an appropriate response is carried out in the event of a detection – whether manual or ideally automated – so that whenever an attack occurs, the appropriate and proportionate response is carried out immediately to limit any further damage or intrusion.
Data protection: it’s time to reassess your security strategy
By Tony Pepper, CEO of Egress
It’s no secret that the Covid-19 pandemic has created a perfect storm of cybersecurity risk. External threats are heightened, but there’s also a higher level of internal risk too, exacerbated by home working. With most financial services organisations planning to continue with mass remote working for the foreseeable future, it’s important for security teams to review their strategy and assess whether it still works in this new landscape. When it comes to insider threat, there are three key areas that IT leaders should focus on: building a positive culture around security, understanding their organisation’s level of risk and protecting their people.
- Build a security-positive culture
Many organisations have unknowingly instilled a security-negative culture among their employees, where people are punished or shamed if they cause a security incident. While they might think that this would discourage employees from causing data breaches for fear of repercussions, this actually makes your organisation less secure. Our Outbound Email Security Report found that 62% of organisations rely on their people to report email data breach incidents – and if employees are too afraid to come forward, that means your business is at risk of developing a security blind spot.
A security negative culture won’t actually prevent data breaches caused by human error, something which organisations need to recognize as largely unavoidable without technological intervention; it just delays remediation, which makes every incident worse. By creating a security-positive culture, you can better engage and educate employees, as well as ensure you’re able to rapidly triage any incidents if they occur.
- Understand your risk
When mapping out your risk, you’ll likely find that the picture looks very different to how it did even a year ago. In the past, organisations have focused on their networks and their devices when it came to security strategy. While these are vital areas for consideration, what hasn’t been as well-addressed to date is the human aspect of risk, particularly human error. You need to look closely at the tools that your employees are using daily to facilitate digital communication with clients and colleagues, including when sending sensitive information.
Employees are specifically using email more than ever before – our recent research found that 94% of organisations are sending more emails due to Covid-19, with one-in-two IT leaders reporting an increase of more than 50%. With this expansion of email volumes comes an increase in the risk that an email containing sensitive data might be misdirected. Remote working has also heightened the threat – our research found that 35% of organisations’ serious email data breaches were caused by remote working. Why? The causes lie in their behavior and the environments in which they operate. Some individuals may feel they’re able to take more risks away from the “watchful eyes” of their Security team, and every employee is faced with a myriad of distractions that make them more likely to make a mistake.
It’s time for organisations to take stock of their risk by looking at where gaps in their security might exist – and provide safety nets for their employees that can automatically detect and mitigate inadvertent data breaches and risky behaviour.
- Protect your people
It goes without saying that not all data breaches are caused by malicious activity. An overwhelming amount of data breaches are caused by hardworking employees making honest mistakes, from sending an email to the wrong person to responding to a phishing attack. Unfortunately, human error is an unavoidable part of life, and mistakes will happen. In the past, many organisations have taken the approach that employee error can be ‘trained away’, embarking on comprehensive security training programs in the hope that security incidents might decrease.
Unfortunately, if that were the case, then employee activated data breaches would be a thing of the past! Organisations need to employ a multifaceted approach when it comes to avoiding accidental insider data breaches – education and training remain an important element, but ultimately businesses need to implement the right technology to provide a safety net for their people. Many organisations have legacy DLP solutions in place that cannot mitigate the risk as they fail to fully understand employees’ behaviour.
Often, these tools stand in the way of productivity, prompting users even when there isn’t a legitimate risk. When click fatigue sets in, these solutions become ineffective, with users ignoring prompts whenever they appear. Luckily, advances in machine learning mean that there’s technology available to prevent insider data breaches such as misdirected email, by deeply understanding the way that users behave and the context in which they share data, to ensure emails are sent to the right recipients with the right level of security.
The vast majority of organizations will never go back to every employee working full time within the office environment, instead post-pandemic we will see a myriad of different approaches – with some based in the office, while others work at home part or full-time, and as the world opens up again, their locations may change throughout the day. To mitigate risks from inadvertent errors to intentional data exfiltration, CISOs must address their security culture and protect their human layer with intelligent controls that mitigate employees’ behaviors and stop breaches before they happen.
Sumitomo Life Insurance Selects Talend to Build Company’s Data Infrastructure
Leading life insurer uses Talend in data lake environment for data analytics
Talend (NASDAQ: TLND), a global leader in data integration and data integrity, announced today that Sumitomo Life Insurance Company, one of the Japan’s leading life insurance companies, has selected Talend Data Fabric for its data analytics infrastructure.
Sumitomo Life aims to become the most trusted and supported company by its stakeholders, including its customers, and to grow sustainably and stably. Sumitomo Life’s vision is to offer advanced products to enable customers to live vigorously. To respond to that, the company is developing and delivering cutting-edge products that respond to its customers’ current and expected futures needs in areas focusing on nursing care, medical insurance and retirement planning.
“With the trust from our customers as the starting point of all our activities, Sumitomo Life is providing optimal life insurance services to every person through the sound management of the insurance business,” said Mr. Masakazu Ohta, General Manager in Charge of Information System Department at Sumitomo Life. “As a new approach, it was necessary to build a common foundation for big data management, and Talend is the driver. Talend’s superiority in cloud implementation, development productivity, features, and licensing model convinced us to be part of this journey together.”
To meet the needs of its customers and offer them innovative products and services, Sumitomo Life has decided to build a foundation for data analysis (Sumisei Data Platform) in the cloud for the promotion of new insurance products. The company evolved its legacy data environment to the new environment where they can store the data extracted from various systems both on-premises and effectively in the cloud.
In order to meet the needs of each individual customer and provide the best insurance for them, Sumitomo Life uses Talend Data Fabric as the hub of its data infrastructure. This manages data across the organization and integrates data into a data lake, which makes them able to utilize data across the company.
“We have been able to release projects with the continuous support of Talend, even amid the changing business environment in the Covid-19 crisis. We will continue to collaborate with Talend in order to actively promote company-wide data analysis projects,” added Mr. Ohta.
“The insurance market is one of the most competitive sectors. By facing tight regulations and complex customer needs, companies must be at the forefront of innovation to offer even more services and new products to its customers,” said Kenji Tsunoda, Country Manager Japan, at Talend. “Talend helped Sumitomo Life reinvent its data-driven infrastructure to provide a data management platform that enables the development of advanced products for its customers. We are delighted to support Sumitomo Life in the pursuit of their vision.”
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