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AI adoption is ubiquitous but nascent Enthusiasm for AI is strong, with 90% of organizations prioritizing it. Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. This allows organizations to maximize resources and accelerate time to market.
Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. When it comes to meeting compliance standards, many startups are dominating the alphabet. In reality, compliance means that a company meets a minimum set of controls.
Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Malik emphasized that compliance is not just an add-on for Huawei but a core part of their comprehensive assurance mechanism. Huawei takes pride in its compliance,” Malik explained. “We
In a recent interview with Jyoti Lalchandani, IDCs Group Vice President and Regional Managing Director for the Middle East, Turkey, and Africa (META), we explore the key trends and technologies that will shape the future of the Middle East and the challenges organizations will face in their digital transformation journey.
Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. Otherwise, organizations can chase AI initiatives that might technically work but wont generate value for the enterprise. As part of that, theyre asking tough questions about their plans.
IT modernization is a necessity for organizations aiming to stay competitive. Additionally, leveraging cloud-based solutions reduced the burden of maintaining on-premises infrastructure. Organizations often struggle to justify the upfront costs of modernization projects, especially when the ROI is not immediately apparent.
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. Is your organization overdue for an IT systems update? Here are seven signs it may be time to modernize.
Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. This puts businesses at greater risk for data breaches.
An evolving regulatory landscape presents significant challenges for enterprises, requiring them to stay ahead of complex, shifting requirements while managing compliance across jurisdictions. As AI usage spreads, data frequently moves between different infrastructures, making it harder to keep track of and protect.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns. In 2025, data management is no longer a backend operation.
Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers. Cybersecurity continues to be a significant concern globally.
Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS. A cloud-first approach ensures better data security, compliance with regulations, and scalability for AI-driven innovation,” says Domingues.
It provides CIOs a roadmap to align these technologies with their organizations’ ESG goals. CIOs manage IT infrastructure and foster cross-functional collaboration, driving alignment between technological innovation and sustainability goals. Similarly, blockchain technologies have faced scrutiny for their energy consumption.
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
As regulators demand more tangible evidence of security controls and compliance, organizations must fundamentally transform how they approach risk shifting from reactive gatekeeping to proactive enablement. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Orsini notes that it has never been more important for enterprises to modernize, protect, and manage their IT infrastructure. Orsini also stresses that every organization’s optimal cloud journey is unique.
Practical pathways for integrating agentic AI into existing enterprise environments, particularly those constrained by compliance or legacy systems. Agent infrastructure The surge of interest in the deployment of agents needs a rethinking of how agent infrastructure is built. Orchestration layers. Data services.
And for some organizations, annual cloud spend has increased dramatically. The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed.
DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties. BMC Helix enables organizations to quickly detect, respond to, and report incidents efficiently.
Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Operating model patterns Organizations can adopt different operating models for generative AI, depending on their priorities around agility, governance, and centralized control.
Procurement Takes Too Long, Slowing Innovation The Challenge: Traditional IT procurement cycles average three to six months, delaying critical projects and threatening your organizations competitive edge. See also: How to know a business process is ripe for agentic AI. )
The risk of cybersecurity lapses, data breaches, and the resulting penalties for regulatory non-compliance have made it more important than ever for organizations to ensure they have a robust security framework in place. Understanding the Impact of DORA and PCI DSS 4.0 Understanding the Impact of DORA and PCI DSS 4.0 PCI DSS 4.0
Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago. Regulatory and compliance challenges further complicate the issue.
Artificial Intelligence has sharpened both edges of the sword, as organizations are better equipped to defend against cybersecurity conundrums that are finessed to be deadly, wide-ranging and impacting operations and market reputation. Rohit Singh speaks of their AI vs AI mechanisms to stay ahead of scammers.
To support business needs, organizations must invest in advanced AI-specific management tools that can handle dynamic workloads, ensure transparency, and maintain accountability across multicloud environments, he says. There are organizations who spend $1 million plus per year on LLM calls, Ricky wrote. IT employees? Not so much.
Navigator: As technology landscapes and market dynamics change, enterprise architects help businesses navigate through complexity and uncertainty, ensuring that the organization remains on course despite evolving challenges. Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA.
Compliance ensures the door is locked and security measures are in place to prevent unauthorized access. Lets review the importance of firewall policy compliance and break down how to choose the right solution to protect your enterprise environment. What Is Firewall Compliance? What Is Firewall Compliance? Of course not.
Much of this data must adhere to regulations for organizations to remain compliant, which is why they are often housed in a secure mainframe. The mainframe also often holds the most current and complete view of transactions within an organization. Four key challenges prevent them from doing so: 1.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
“Some leaders will pursue that goal strategically, in ways that set up their organizations for long-term success. Savvy IT leaders, Leaver said, will use that boost to shore up fundamentals by buttressing infrastructure, streamlining operations, and upskilling employees.
Cloud architects are responsible for managing the cloud computing architecture in an organization, especially as cloud technologies grow increasingly complex. As organizations continue to implement cloud-based AI services, cloud architects will be tasked with ensuring the proper infrastructure is in place to accommodate growth.
It represents a strategic push by countries or regions to ensure they retain control over their AI capabilities, align them with national values, and mitigate dependence on foreign organizations. This ensures data privacy, security, and compliance with national laws, particularly concerning sensitive information.
With products powered by Precision AI, your organization gains comprehensive asset visibility, risk assessment, vulnerability prioritization, virtual patching and seamless threat prevention, all without downtime. This approach not only reduces risks but also enhances the overall resilience of OT infrastructures. –
Overall, 65% of organizations plan to replace VPN services within the year, a 23% jump from last years findings. Meanwhile, 96% of organizations favor a zero trust approach, and 81% plan to implement zero trust strategies within the next 12 months. Such vulnerabilities pose a central challenge.
As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. These conversations are so weighty, they are happening at the boardroom level.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.
The process is going to require significant investment and important decisions about what gets prioritized, which legacy processes should be removed, and what the end goals of the new data infrastructure will be. That commitment must begin at the C-suite level. Leadership must prioritize data-driven strategies across all business functions.
As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool. Keeping business and customer data secure is crucial for organizations, especially those operating globally with varying privacy and compliance regulations.
Dr. Duggal : Indian organizations need to be prepared for 5 major trends in cybersecurity and data privacy in 2025. Organizations will need to implement AI security frameworks that can detect anomalies and respond to threats in real-time. Indian organizations should adopt a phased, risk-based approach to DPDP implementation.
With the increasing sophistication of cyber threats and the accelerated pace of digital transformation, organizations must be more proactive in identifying and mitigating risks. CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness.
GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. With companies increasingly operating on a global scale, it can require entire teams to stay on top of all the regulations and compliance standards arising today.
Much like finance, HR, and sales functions, organizations aim to streamline cloud operations to address resource limitations and standardize services. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
1] Migrating identity security from on-premises infrastructure to the cloud can be complex. Identity solutions specific to an ERP vendor may also not work with the organizations full range of non-ERP applications. Maintaining regulatory compliance is also a must. Established access policies need to be reviewed and adjusted.
Instead of overhauling entire systems, insurers can assess their API infrastructure to ensure efficient data flow, identify critical data types, and define clear schemas for structured and unstructured data. From an implementation standpoint, choose a cloud-based distillery that integrates with your existing cloud infrastructure.
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