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Changing consumer behavior and expectations, competition from major e-retailers, evolving cybersecurity challenges, inflationary pressures, sustainability and environmental concerns, and the pressure to take advantage of AI are all very real concerns for retailers today. IDC, June 2024).
Looking ahead to the next 12-18 months, two top priorities emerge for IT leaders: developing a strong business case for AI infrastructure spending (cited by 35% of respondents to IDC’s Future Enterprise Resiliency and Spending Survey, Wave 3 , March 2024) and increasing cyber resilience and security (34%).
If there is a single theme circulating among Chief Information Security Officers (CISOs) right now, it is the question of how to get stakeholders on board with more robust cybersecurity training protocols. Human error remains one of the leading causes of security breaches.
The economic and competitive landscape is extremely dynamic, and customers expect more seamless, personalized, and efficient experiences, Pappas says. Agility and innovation are no longer competitive advantages theyre necessities, Barnett states. AI, in particular, is poised to redefine how businesses operate, compete, and grow.
While 2023 saw its emergence as a potent new technology, business leaders are now grappling with how to best leverage its transformative power to grow efficiency, security, and revenue. For example, courses offered by INE Security provide comprehensive training that covers both traditional cybersecurity skills and newer AI-based tools.
As the GenAI landscape becomes more competitive, companies are differentiating themselves by developing specialized models tailored to their industry,” Gartner stated. New security and risk solutions will be necessary as AI agents significantly increase the already invisible attack surface at enterprises.
This comes as organizations are racing to ship software as quickly as possible to deliver new features and cloud applications to remain competitive. Speed is great, but not when it comes at the expense of security. This ensures new issues aren’t introduced into the codebase, and that existing issues are gradually eradicated.
Make the case on AI urgency Nothing motivates a board quite like competitive pressure. Suboptimal integration strategies are partly to blame, and on top of this, companies often don’t have security architecture that can handle both people and AI agents working on IT systems.
INE Security is proud to announce that it has been named a winner in the prestigious 2024 SC Awards, named Best IT Security-Related Training Program. This designation underscores INE Security’s commitment to excellence and leadership in the cybersecurity industry.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. Make sure you’re thinking about where modernization can make a competitive difference and start there.”
What are the associated risks and costs, including operational, reputational, and competitive? Finally, when evaluating scope or breadth, go broad when theres competition for resources and narrow if theres hesitation toward adoption. Prioritize data quality and security. Evaluate processes that can be improved with genAI.
Many are under pressure to show that they are adopting these new technologies and not falling behind the competition. But adding these new capabilities to your tech stack comes with a host of security risks. Each generation of tools presents its own set of security challenges.
From the launch of its mobile banking app in 2020 to the enhancement of its internet banking services, ADIB-Egypt has consistently focused on providing convenient, secure, and user-friendly digital banking solutions. The bank has been dedicated to enhancing its digital platforms and improving customer experience.
Operational AI offers organizations significant benefits, including time and cost savings, and critical competitive advantages in today’s business landscape. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.
INE Security , a global cybersecurity training and certification provider, recently launched initiatives with several higher education institutions in an ongoing campaign to invest in the education of aspiring cybersecurity professionals. million, highlighting the severe economic impact of these incidents.
If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations.
I am excited about the potential of generative AI, particularly in the security space, she says. The opportunity to further leverage AI to enhance our security infrastructure, address threats, and enable fraud detection is immense, she says. One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley.
In today’s fast-paced software development landscape, managing and securing the software supply chain is crucial for delivering reliable and trusted software releases. For large companies especially, managing the secure use of 10+ technologies can be a nightmare without the right tools and processes in place.
As SMBs consider implementing or enhancing a cybersecurity strategy, INE Security is highlighting the keys to successful rollout, including: Choosing the Right Training Provider: When selecting a training provider, SMBs should look for expertise in cutting-edge technologies and strategies, including real-world, hands-on cyber ranges.
Enabling a competitive but compliant financial organization In a competitive landscape where technology agility is essential to thrive, BFSI organizations have little choice but to design innovative, technology-driven services.
Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. Following are seven steps to guide this transformation for competitive advantage.
By Chet Kapoor, Chairman & CEO at DataStax Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. Instead of viewing it as a threat to job security, organizations can leverage genAI as a tool to empower their workforce and augment their capabilities.
Complexity is the bane of all network security teams, and they will attest that the more dashboards, screens, and manual integration they must juggle, the slower their response time. The network security solutions being used by far too many are unnecessarily complex. Now we must measure resolution in minutes or seconds.
The added demand for remote access to corporate applications driven by business continuity, customer reach, and newfound employee satisfaction comes with a heightened concern over data security. Most vendor offerings typically seek to address siloed segments, such as network or endpoint security, identity, or data security.
As new AI use cases continue to emerge, it is likely that we will see enterprises adopt AI — not merely in leveraging generative AI chat tools, but as a core driver of business that can create competitive differentiation. The data privacy and security risks of AI applications themselves Not all AI applications are created equal.
In May, electronic design automation firm Synopsys announced a sale of its security testing software business for $2.1 The company used the sale to reduce debt and to focus on innovation in cloud, security, and AI markets, it said. The sale allows the company to focus on AI-driven engineering, the company said.
This reflects the growing dependence on digital solutions to maintain competitiveness, he says. We know technology is the engine that drives us to remain competitive, so we constantly invest to improve our platforms, implement new tools, and adopt the latest technological trends.
Samsung, LG, and other top 10 conglomerates in Korea are SAP customers, and many excellent customers in Korea are using SAP to enhance their global competitiveness, said Klein. He added that to make AI more secure, only authorized people can access the data and only authorized AI use cases can use it.
These advanced technologies will be “crucial for maintaining a competitive edge, improving operational efficiency, and enhancing the customer experience,” he says. These areas of spending are not just responses to current trends but are strategic investments that will foster long-term innovation, resilience, and competitive advantage.”
The challenges don’t end once those requirements are met, as the project teams need to secure executive buy-in, which may be hindered by resistance to new technologies. A cloud-first approach ensures better data security, compliance with regulations, and scalability for AI-driven innovation,” says Domingues.
We are constantly talking to our allies and partners as well as reassessing and updating our controls,” Alan Estevez, Under Secretary of Commerce for Industry and Security, said in a statement. Today’s announcement represents the next step in that ongoing work.”
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Understanding the competitive landscape is also essential. In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success.
We’ve also published, in partnership with the Internet Security Alliance (ISA), the 2023 Director’s Handbook on Cyber-Risk Oversight. The handbook, which is endorsed by the Department of Homeland Security and the Department of Justice, guides directors on board-specific cybersecurity oversight and is one of our most downloaded publications.
Well-founded specialist knowledge is necessary for truly effective, secure and legally compliant implementation. Corporate digital responsibility as a seal of quality Compliance can be a decisive competitive advantage in all industries today and a prerequisite for market participation tomorrow.
The remaining five metrics, including uptime and availability, cost control, operational efficiency, compliance, and security, are deeply rooted in traditional IT priorities. Where innovation and agility are key drivers of competitive advantage, traditional IT metrics that shaped IT for the past 50 years are insufficient.
“Laying the foundations for generative AI requires a business-wide approach to data-driven decision-making that empowers the entire workforce to take full advantage of the technology while offering confidence and assurance to the business that it is safe and secure to embark on this journey.
The smaller players are more likely to have the innovative solutions that allow an organization to get ahead of the competition, so Gupta allocates 10 to 20% of his IT budget for the more nimble suppliers. That takes away our competitive advantage. We often use them on tier two problems that could become tier one next year.
Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.
He adds, I cultivate a culture of innovation and healthy competition, ensuring that both business and technology teams remain motivated to achieve shared goals. We seek partners who invest in data security, compliance, and long-term innovation. For Jai Prakash, it is essential to partner with vendors who can be there for the long haul.
With emerging technologies like Gen-AI keeping organizations in a flurry of new implementations, a rapidly shifting CIO role, new innovations testing budgets and adaptability of organizations and increasing competition, a competent CIO is the ace that can change the game.
However, without proper governance and oversight, this can lead to inconsistencies, security vulnerabilities, and technical debt. CIOs who act decisively now will gain a competitive edge by building adaptable, AI-ready teams. Using this strategy, LOB staff can quickly create solutions tailored to the companys specific needs.
By adopting AI-driven approaches, businesses can better anticipate potential threats, make data-informed decisions, and bolster the security of their assets and operations. The delicate balance between utilizing AI’s predictive power and guarding against its potential risks is crucial for maintaining operational security.
robot, which has garnered significant attention and secured funding and a partnership with BMW for manufacturing applications. Many companies are jumping into the humanoid race, but not all of them will be successful and were excited for the competition, it means the industry is advancing and innovating.
Top impacts of digital friction included: increased costs (41%)increased frustration while conducting work (34%) increased security risk (31%) decreased efficiency (30%) lack of data for quality decision-making (30%) are top impacts. But organizations within the energy industry are in an especially precarious situation.
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