Four Zero Trust hurdles that organizations are failing to clear
More than a decade after the concept of Zero Trust was first introduced, it’s become one of the biggest buzzwords in the industry. According to Microsoft, 96 percent of security decision-makers believe Zero Trust is ‘critical’ to their organization’s success, with 76 percent in the process of implementation currently.
Zero Trust is on the rise because traditional security models that assume everything inside an organization’s network can be trusted is no longer valid. As enterprises manage their data across multiple applications and environments, on-prem or hosted in the cloud, and as users have more access to data at more interfaces, a network’s perimeter becomes porous and less defined. This causes the threat surface to expand as the edge becomes indefensible. This change has seen many organizations embrace Zero Trust principles to improve their security posture.
How MSPs and IT leaders can optimize cloud costs amid economic headwinds
Lingering recession concerns and sky-high inflation have created a challenging economic environment. Last year, increased consumer demand coupled with supply chain snags gave companies incredibly high pricing power. That appears to be coming to an end, however. As the risk for a coming recession grows, many companies are wrestling with logistical issues fueled by geopolitical tensions, war, and the pandemic.
As businesses navigate increasing economic headwinds, leaders should consider how to optimize IT investments and expenditures to ensure business success during this challenging time.
Why developers hold the key to cloud security
Developer-first security is the future in the cloud -- the responsibility for cloud security rests with developers and DevOps teams, not IT security.
In the days of the on-premise data center and early cloud adoption, the roles of application developers, infrastructure operations, and security were largely siloed. In the cloud, this division of labor increases the time-to-market for innovation, reduces productivity, and invites unnecessary risk.
Vulnerability management in 2023: Questions and answers
In this article, I will try to answer several important questions related to identifying, classifying, prioritizing, and eliminating vulnerabilities in a timely manner, as well as how to automate the vulnerability management process.
Let me start the article by defining the classic process of finding and eliminating vulnerabilities.
Why it's time to rethink your hybrid collaboration strategy
Over the last two years, organizations everywhere have built hybrid collaboration strategies from a variety of platforms and services in an effort to blend the most useful features. This is understandable given the rapid acceleration in the adoption of digital collaboration tools throughout 2020, which played a huge role in keeping the economy moving.
Since then, businesses have grown to rely on their collaboration capabilities as part of their ongoing approach to hybrid working. But in many cases, this has given rise to a somewhat cobbled-together approach, delivering user and customer experiences that work but aren’t entirely optimized.
Simple data management with Database as-a-Service (DBaaS) for Kubernetes
Modern applications need to be fast, available, and secure. They are composed of many microservices, often supported by multiple data services. Managing each of these data services in a dynamic, Kubernetes world is complex, time-consuming and leaves little time for innovation.
Managing stateful applications on Kubernetes in production is difficult. According to a Pure Storage survey, the most important customer requirements are:
Five SAP application security trends
Some trends come quickly and disappear from the scene. For example, artificial intelligence was going to be the savior of cybersecurity, but this trend has turned out to be a smokescreen.
Here are five SAP application security trends that are here to stay.
Why cloud fax is better for secure data exchange than email
The constantly-evolving email encryption landscape is a tell-tale clue as to email’s vulnerability. Email service providers and encryption software makers must continually up their game because they know organizations use email to transmit their most sensitive content -- a fact that makes a valuable high-priority target for cybercriminals.
Sending a document via email is like writing it on the back of a postcard and popping it into the mailbox, for it to then be read by every single person who handles it on its journey to its destination. When you click "send" on an email it travels through firewalls, ISPs, servers, virus checkers and even data harvesting bots. It is stored, saved, copied and forwarded multiple times without any form of encryption. What this means is that email can very easily be compromised and the important data contained within it can be read and downloaded by unscrupulous third parties.
Simplify developers' deployment journey with continuous deployment
Most development teams struggle early in the process of shifting to cloud native application development and deployment. Their existing tool chains that have served them well in the past struggle with them as they attempt to scale their deployment footprint. The last thing they want to do is invest time in becoming experts in deployment. They don’t want to create or troubleshoot a deployment process -- they want to code with a GitOps approach, and know their software has been deployed successfully, is working as expected, and providing value to the customer. How can team leaders satisfy those desires? Automated continuous deployment. Continuous deployment simplifies delivery, ensures the software works at each deployment stage and allows developers to focus on what they do best.
When it comes to the development cycle, faster is better. Companies with higher release rates generate four to five times higher revenue growth than those pushing updates less often. To keep up with the competition, fast and efficient deployment of quality, stable software is the priority.
Keep your payment service provider close, and your fraud prevention partners closer
The payments ecosystem is increasingly dynamic and so too is the fraud landscape that threatens it. The UK is the second-largest country for online transactions in 2022; this is set to continue, despite ongoing global supply chain issues and inflationary pressure. At the same time, this increase in online transactions brings another problem: digital commerce fraud.
Merchants need to have a detailed understanding of their payment profile to manage threats and balance risk. According to the Merchant Risk Council, the amount merchants spend to tackle online fraud increased five-fold between 2019 and 2021. In 2019, eCommerce merchants spent an average of 2 percent of their annual revenue on fraud prevention. By 2021, that share had grown to 10 percent. However, it’s a battle merchants are continuing to lose, especially in the UK. Additional data collected from Merchant Machine suggests that the UK has the highest number of fraud cases per 1,000 inhabitants (123), with €10,414 stolen by fraudsters for every 1,000 citizens.
Is data a silver bullet for the slowing economy?
During the pandemic, companies with a strong understanding of their business as a whole, including employees, partners, customers and even suppliers, fared better than those without the ability to review and use data to drive growth.
History has shown that the greatest weapon against uncertainty is information. Understanding your business at a microscopic and holistic level is now more important than ever, as the threat of a recession looms. This means that information must be treated as a central tool in leading all businesses through any potential storm.
How software innovation will power future energy platforms
In the face of supply uncertainty, increasingly urgent environmental goals and surging price rises, the energy industry finds itself under immense pressure to innovate. At the same time, the competition to attract and retain customers is intensifying, with consumers also looking for an effective digital experience, alongside transparent consumption data and control.
Given these opportunities and challenges, how can the energy industry find fresh and innovative approaches to deliver what each stakeholder wants?
AI is nothing without skilled human oversight
Artificial Intelligence (AI) remains hard to define. When it comes to a definition of "intelligence", context is vital and it starts with what we want the AI system to do. It is specific to the application. For example, intelligence for a search engine shouldn’t be the same as intelligence for an autonomous vehicle.
Now, with AI systems already in widespread production for more than a quarter of enterprises, businesses must ensure that employees are upskilled to effectively define and implement AI systems, and understand how to manage these systems safely in the workplace. But what does that look like in practice?
Top down, bottom up or a bit of both? Process and deployment considerations for AIOps
IT production environments are an essential part of any modern business organization. Today, it’s virtually impossible for an enterprise to function effectively without a defined set of IT solutions. The amount of data managed and needed to run business is growing exponentially, congruent with the amount of data needed to guarantee that these IT environments are always available. These two facts alone create a strong case for the Intelligent Automation (IA) of IT, because data really is the lifeblood of modern business. However, simply generating and managing reams of data is not enough. To derive tangible value from any data, organizations must ensure that the data generated is comprehensive, verifiable, and accurate. Failure here can render data meaningless and lead to poor decision making.
The quality and depth of data can be a game-changer for businesses, and while the human brain is an amazing organ, it can only do so much at once and maintain consistent performance levels. AIOps, the integration of AI in IT operations, on the other hand, leverages the power of machines to enable organizations to accurately comprehend and control the growing complexities of data-driven business ecosystems As more organizations embrace complete operational digital transformation, it’s critical that the data generated is intelligently gathered, organized, analyzed, and optimized. This is where AIOps delivers exponential value through the ability to take data and add context, intelligence and value, driving actionable insights and better-informed decision making. AIOps underpins the drive towards maximized ROI, minimal loss, and delivering complete customer satisfaction.
5 alarming trends making cybersecurity threats riskier and more expensive
Imagine a future in which every person, object, and service is connected to the internet. Your car knows your destination before you do, your fridge restocks itself, and your doctor can remotely monitor your health. Now imagine that one day, all of those interconnected devices get hacked at once. Your car suddenly careens off the road, your fridge emits a deafening alarm, and your doctor’s office is flooded with false patient data.
This nightmare scenario is becoming increasingly likely, as the world becomes ever more connected and reliant on technology. And it’s not just consumers who are at risk -- businesses are, too. A single cyberattack can cost a company millions of dollars, and the price is only going up as hackers become more sophisticated.
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