Keep online customers happy without jeopardizing security
Online transactions are fraught with security concerns -- both for businesses and for consumers. Yet, even while those consumers harbor worries that their personal identifiable information could be stolen if security precautions are weak, they also have limited patience when doing business online and will abandon a website if the transaction takes too long or requires too many steps.
This creates a knotty situation for businesses: They must minimize customer frustrations while still making sure security measures are tight and requiring that users prove they are who they say they are.
What's ahead in 2024? Stale cookies get the boot, scaling customer data operations, and unleashing AI
As we enter 2024, IT professionals find themselves at a pivotal moment, grappling with a trio of formidable challenges: the rapid evolution of artificial intelligence (AI), the phasing out of traditional cookies, and ongoing staffing shortages.
These developments are not merely altering the IT landscape but are also necessitating a reevaluation of strategies across businesses. In response to this dynamic environment, IT teams must pivot towards adopting scalable, AI-integrated customer data management systems.
2024 technology advancements in endpoint security
Cybercrime and data breaches have escalated to alarming levels, with the global estimated cost of cybercrime in the cybersecurity market reaching over $8 Trillion in 2023. Projected to rise by an additional $5.7 trillion (+69.94 percent) by 2028, the urgency for advanced endpoint security solutions has never been more apparent.
Cybercrime and data breaches have become some of the most significant threats individuals and organizations face in the modern business world. As technology continually advances, so do the methods employed by cybercriminals to exploit it. As a result, endpoint security solutions have become a vital tool for businesses and individuals seeking to protect their devices and sensitive data from harm.
Don't risk falling behind when it comes to cloud security
Cloud investment is central to staying competitive in modern business. Gartner estimated that global end-user cloud investment reached nearly $600 billion this year and forecasts a 20 percent increase in spending in 2024. But as investment in and reliance on the cloud increases, so must investment in cloud security.
Expanding cloud usage means an expanding attack surface for threat actors to target. Research from Vanson Bourne, commissioned by Illumio, found that nearly half (47 percent) of all security breaches now start in the cloud.
Three questions enterprise leaders are asking about AI
Many leaders have been extremely aggressive about their AI strategies this year. However, despite the buzz generated by these technologies, most leaders are still scratching their heads trying to brainstorm real, practical ways to implement AI.
I’ve identified three common questions from leaders about AI for the enterprise and answered them with pragmatic guidance on the steps they can take today to make the most of these innovative technologies.
Busting three common DDoS myths
DDoS (distributed denial-of-service) protection occupies a peculiar spot in cybersecurity. While "newer" threats like AI-enabled cybercrime and the ongoing ransomware spree take up many airwaves, DDoS is relatively stable. For many, it's a known quantity. But this is where the problem lies. DDoS has been around for so long, and companies have been mitigating against it for all this time that a knowledge gap is slowly creeping in.
Because things change, bad habits get picked up, or common misconceptions go unchallenged and evolve into full-blown myths. Companies might be ‘protecting’ themselves under false pretenses, so it pays to revisit what you know, explore what’s changed and rebuild your knowledge of the threat landscape semi-regularly. So, with that in mind, let's explore three common myths we regularly encounter in the DDoS space.
The Deep Tech revolution -- Part 2: Meetups
Welcome back to Zama’s ‘Deep Tech Series’, exploring activities and initiatives that, while seemingly confined to companies and startups heavily technology driven, can potentially be applied to other organizations. Thanks to insights of experts in cryptography, privacy, blockchain and Machine Learning, the aim is to provide useful guidance on how to implement these activities in any kind of tech-driven company and beyond.
In the first installment, we looked at the advantages and added value of releasing white papers, a type of research and data based content that can share information about a product or technology while showcasing the company’s knowledge and expertise. In this follow up, we'll look at the importance of engaging and growing your tech community through meetups.
Four key ingredients to unlock HyperProductivity through workplace IT
Just a few years ago, it was hard to directly link the impact digital tools were having on productivity across a business. But as businesses have transformed and become more digitally mature, that’s all changed.
With metrics for tracking productivity ubiquitous, business leaders want to take it up to the next level. Now they are focused on HyperProductivity -- driving unprecedented levels of productivity across the organization. To date, businesses have tried a range of tactics to foster HyperProductivity, frequently involving discouraging workers from spending time on anything other than core tasks. As an extreme example, some businesses even installed uncomfortable toilets designed to limit time employees spend in the bathroom. Instead, they should be focusing on making it as easy as possible for employees to do their jobs, which is why optimizing workplace technology is a better path to explore.
Selecting the right storage for SQL Server high availability in the cloud
When it comes to the type of storage you might use for a cloud-based SQL Server deployment, all the major cloud providers provide a bewildering array of options. Azure offers Standard HDD as well as Standard SSD, Premium SSD as well as Premium SSD v2. Oh, and then there’s Ultra Disk. And AWS? The options are no less eye-glazing: ST1 and Standard, GP2 and GP3, IO1 and IO2.
Even if you could easily differentiate the offerings, what would be your best choice if you plan to configure your infrastructure for high availability (HA) -- by which we mean an infrastructure designed to ensure that your SQL Server database will be available and operating no less than 99.99 percent of the time?
The promise of generative AI depends on precise regulation
AI’s path to maturity lacks footing without the stamp of regulation. While the recent developments of the White House executive order and the EU AI Act are a good start, there’s a lot of progress to be made in terms of AI research and rule-making. Because if we want to unlock the full range of AI use cases, we’re going to need precise regulation, tailored to the unique needs of each sector.
Generative AI sparks an opportunity to transform every industry; a prospect that has prompted a flurry of AI innovation across verticals that will undoubtedly send ripple effects throughout the economy. McKinsey estimates that across 63 different use cases, generative AI could contribute between $2.6 trillion to $4.4 trillion to the global economy annually. But sector and use-case-specific regulatory framework is imperative if we want to harness this potential and ensure responsible, safe applications of generative AI.
Tech must look to build lean to go green
Technology’s role in tackling the growing climate emergency is recognized as a vital one. Yet, the sector's own detrimental contribution to the issue often goes overlooked.
The ever-evolving nature of tech, with constant changes in usage, equipment, and energy efficiency improvements, poses challenges in tracking its carbon footprint. However, projections suggest a concerning trend: by 2040, the ICT sector could contribute 14 percent of the world's carbon footprint, a significant jump from 1.5 percent in 2007.
What is fat finger error and how to prevent it
Whoever said "To err is human" was right (actually, it was the English poet, Alexander Pope). Just like in our private lives, we all make mistakes in business too, no matter how diligent or professional we are. The trouble is, some human errors, however small, can have disastrous consequences. Like the fat-finger error that can cost an organization millions.
A fat finger error is a keyboard input mistake that results in the wrong information being transmitted. The term originated in financial trading markets and is now used more broadly in the security industry to describe data breaches that are caused by human error, particularly when the breach is attributed to mistyped information, like an email address.
What are the top cybersecurity trends to look out for in 2024?
As 2024 fast approaches, organizations are looking back on the past year to try and gain some insight into what the next 12 months could hold. This past year has been particularly interesting in the world of cyber security, with ransomware and data breaches dominating the headlines, the rise to prominence of AI strengthening cybercrime’s arsenal, and the shift of focus to cyber resilience causing businesses to question what comes next for the industry.
For security professionals across organizations of all sizes we anticipate the following issues will be a key focus for the year ahead:
Kubernetes monitoring: 5 essential strategies for DevOps success
Monitoring Kubernetes clusters is a critical aspect of managing cloud-native applications. Kubernetes, a favored tool among giants like Spotify and Major League Baseball, empowers developers to create and operate at scale. However, the complexity of Kubernetes with its multitude of nodes and containers demands a robust monitoring strategy.
In this article, we share five key practices to enhance your Kubernetes monitoring approach. Let's dive in...
Generative AI is forcing enterprises -- and policymakers -- to rewrite the rules of cybersecurity
Following a year full of excitement and uncertainty, and more opinions about the future of AI than anyone could count, AI providers, enterprises, and policymakers are now rallying around one thing: AI security.
The White House recently followed in the European Union’s footsteps to introduce a new set of standards for the secure development and deployment of AI models. But while regulators triangulate their policies and AI companies work to comply, the real responsibility to proceed safely will remain with enterprises.
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