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The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Kar advises taking a measured approach to system modernization.
Analyst reaction to Thursday’s release by the US Department of Homeland Security (DHS) of a framework designed to ensure safe and secure deployment of AI in critical infrastructure is decidedly mixed. Where did it come from?
As Saudi Arabia accelerates its digital transformation, cybersecurity has become a cornerstone of its national strategy. With the rise of digital technologies, from smart cities to advanced cloud infrastructure, the Kingdom recognizes that protecting its digital landscape is paramount to safeguarding its economic future and national security.
Other key uses include fraud detection, cybersecurity, and image/speech recognition. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Respondents rank data security as the top concern for AI workloads, followed closely by data quality.
As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.
As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. A key pillar of this work has been the development of a GenAI cybersecurity framework, comprising five core security aspects.
OT can be at the heart of critical infrastructure, meaning disruption could cause major problems and even endanger people. i The cybersecurity dividend However, cybersecurity is also viewed as a key driver for the uptake of 5G. These security benefits are important for two reasons. The threat is widespread.
CEOs and CIOs appear to have conflicting views of the readiness of their organizations’ IT systems, with a large majority of chief executives worried about them being outdated, according to a report from IT services provider Kyndryl. But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class.
Resilient Solutions for Smarter Transportation As your city adopts Intelligent Transportation Systems (ITS) to enhance mobility and safety, securing these interconnected networks is more critical than ever. When physical and operational systems converge, the risks grow cyberattacks can have real-world consequences.
As Middle Eastern countries accelerate digital transformation through smart cities, AI adoption, and giga-projects, cybersecurity threats are evolving faster than defenses can keep up. Every time a new security measure is implemented, attackers find ways to bypass it within a short period. Partnerships are crucial in this ecosystem.
At Palo Alto Networks, we've pioneered the integration of AI-driven solutions specifically designed to empower security teams and enhance operational efficiencies. Availability of AI Copilots Palo Alto Networks AI copilots are already transforming the way cybersecurity professionals interact with their technology environments.
But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses.
Plus, learn why GenAI and data security have become top drivers of cyber strategies. And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. Looking for help with shadow AI? Want to boost your software updates’ safety? New publications offer valuable tips.
But for many, simply providing the necessary infrastructure for these projects is the first challenge but it does not have to be. Skill shortage, sluggish automation, and security concerns plague businesses IDC studies indicate that CIOs face multiple challenges while addressing the business demands of AI.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Diamond founded 11:11 Systems to meet that need – and 11:11 hasn’t stopped growing since. They also know that the attack surface is increasing and that they need help protecting core systems.
What happened In CrowdStrikes own root cause analysis, the cybersecurity companys Falcon system deploys a sensor to user machines to monitor potential dangers. Akamai was not itself a CrowdStrike customer, but does use similar services from outside vendors to help protect its systems. What if theres an urgent security fix?
S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. As a result, they called their solution a real-time system, which is what the R in the product name SAP R/1 stood for. The name S/4HANA isnt the only thing that reflects the close integration of the new ERP system with the database.
However, these advancements come with heightened security risks. This expanded attack surface has made OT systems a prime target for cyber threats, underscoring the need for a robust security framework tailored to remote OT environments. This approach minimizes exposure, limiting each users access to essential systems only.
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. As digital transformation accelerates, so do the risks associated with cybersecurity.
In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity uses — and more.
Simultaneously, the monolithic IT organization was deconstructed into subgroups providing PC, cloud, infrastructure, security, and data services to the larger enterprise with associated solution leaders closely aligned to core business functions.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. 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.
Cybersecurity firm Armis Security closed a $200 million Series D led by Alkeon Capital and General Catalyst. Industrial security Armis is one of a handful of companies that plays in the industrial security — also called operational technology security — and IoT security spaces. billion valuation.
However, the real breakthrough is in the convergence of technologies that are coming together to supercharge 5G business transformation across our most critical infrastructure, industrial businesses and governments. They gained full access to internal systems and sensitive data. Curiously, they did not ask for a hefty ransom.
Enterprise infrastructures have expanded far beyond the traditional ones focused on company-owned and -operated data centers. An IT consultant might also perform repairs on IT systems and technological devices that companies need to conduct business. The IT function within organizations has become far more complex in recent years.
Legacy systems and technical debt Barrier: Legacy systems, often deeply embedded in an organization’s operations, pose a significant challenge to IT modernization. These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery.
Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Cybersecurity will be critical, with AI-driven threat detection and public-private collaboration safeguarding digital assets. Cybersecurity continues to be a significant concern globally.
They arent sure where it is among hundreds of different systems in some cases. Its nearly impossible to clean up data across a sprawling estate of disconnected systems and make it useful for AI, says Helmer. And when they find it, they often dont know if its in a state that can be used by AI.
Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. This ensures data privacy, security, and compliance with national laws, particularly concerning sensitive information.
In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. This process includes establishing core principles such as agility, scalability, security, and customer centricity.
The growing threat posed by Agentic AI and disinformation has become one of the most critical challenges in the cybersecurity landscape. The event, hosted at the Dubai World Trade Centre, highlighted the urgent need for organizations to adapt their cybersecurity measures to address the evolving digital threats.
Digital India Foundation, a policy think tank working in the areas of technology policy, digital inclusion, ethics of AI, supply-chain security, and governance of critical and emerging technologies. What are the key factors for Indian companies to prioritise their security roadmap and related investments? Any new initiatives on DIF?
As such, cloud security is emerging from its tumultuous teenage years into a more mature phase. The initial growing pains of rapid adoption and security challenges are giving way to more sophisticated, purpose-built security solutions. This alarming upward trend highlights the urgent need for robust cloud security measures.
Verkada , a developer of securitysystems for the real world, locked up a $200 million Series E led by General Catalyst that values the San Mateo, California-based firm at $4.5 While the focus is often on things such as network or application security, the physical world still needs securing. Today, more than 1.5
As operational technology (OT) environments undergo rapid digital transformation, so do their security risks. Protecting industrial setups, especially those with legacy systems, distributed operations, and remote workforces, requires an innovative approach that prioritizes both uptime and safety.
IT leaders often worry that if they touch legacy systems, they could break them in ways that lead to catastrophic problems just as touching the high-voltage third rail on a subway line could kill you. Thats why, like it or not, legacy system modernization is a challenge the typical organization must face sooner or later.
Take cybersecurity, for example. A staggering 21% of organizations report a severe shortage of skilled cybersecurity professionals, with another 30% finding it difficult to find suitable candidates. Only 8% of organizations have a relatively easy time finding qualified cybersecurity experts.
Whether you are a business leader, developer or security professional, understanding prompt attacks is essential. This is why we are thrilled to share new research with you that provides a framework to better understand the new prompt attacks targeting AI systems and models.
In this blog, we share three challenges cybersecurity leaders say exposure management helps them solve. The core cybersecurity discipline is evolving into exposure management , which is built on a broader, more strategic approach to identifying, prioritizing and mitigating risk.
However, it is also becoming a powerful tool for cybercriminals, raising the stakes for OT security. This acceleration of attack speed and complexity underscores the need for OT leaders to adopt AI-driven defenses to counter these growing threats effectively and secure their AI-enabled systems.
Overall, successful CIOs in 2025 will need to balance technical expertise with business acumen, leadership, and a focus on data, AI, cybersecurity, and M&A integration. AI adoption, IT outsourcing, and cybersecurity risks are fundamentally reshaping expectations. Cybersecurity is also a huge focus for many organizations.
Plus, a new guide says AI system audits must go beyond check-box compliance. And get the latest on cloud security, SMBs' MFA use and the CIS Benchmarks. Deploy an automated, centralized patch-management system and adopt a patch-management process. Document the secure baseline configurations for all IT/OT systems.
Plus, OWASP is offering guidance about deepfakes and AI security. Those are three security measures cyber teams should proactively take in response to an ongoing and “large scale” email spear-phishing campaign targeting victims with malicious RDP files , according to the U.S. Cybersecurity and InfrastructureSecurity Agency (CISA).
Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. AI is not merely a system of code; it’s not a case of ‘set it and forget it.’
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