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These advancements offer immense economic growth and innovation potential, but they also introduce new cybersecurity challenges. Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Huawei takes pride in its compliance,” Malik explained. “We
Other key uses include fraud detection, cybersecurity, and image/speech recognition. Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. While early adopters lead, most enterprises understand the need for infrastructure modernization to support AI.
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. He was previously chief informationsecurity officer at a SaaS company and a public financial institution. So why is compliance alone not enough?
In the rapidly evolving world of cybersecurity, few leaders embody the perfect intersection of strategic foresight, technical depth, and business acumen, quite like Marc Crudgington. Cybersecurity is like the brakes on your Ferrari, Marc explains. A former U.S. His mission? Efficiency and enablement.
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.
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.
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.
For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. According to a Cloudera survey, 72% of business leaders agree that data governance is an enabler of business value, underscoring the critical link between secure data and impactful AI.
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.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. In 2025, data management is no longer a backend operation.
Cloud skills include programming languages, database management, DevOps, security, containerization and microservices, data visualization, AI and ML, and automation. Businesses need tech professionals skilled at overseeing security best practices, incident response, network security, cloud security, and threat intelligence.
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.
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.
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.
Additionally, leveraging cloud-based solutions reduced the burden of maintaining on-premises infrastructure. For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics.
Security was another constant challenge. In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks.
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. To truly safeguard enterprise, government and industrial operations, organizations need a holistic 5G security solution.
As operational technology (OT) environments undergo rapid digital transformation, so do their security risks. We’re pleased to announce new advancements in our OT Security solution designed to address these evolving risks. These advancements ensure seamless security while minimizing the risk of disruption.
In modern business, cybersecurity is not merely a technical concern but a crucial financial safeguard. With cyber threats growing in sophistication and frequency, the financial implications of neglecting cybersecurity training are severe and multifaceted. The average cost of a data breach ballooned to $4.88
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.
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.
There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.
The cybersecurity threats that loom large today look different than those even just a few years ago. Likewise, the way cybersecurity threats manifest in the years to come is all but certain to evolve. Myriad policies and security regulations play a role in shaping an organizations cybersecurity approachfrom HIPAA to GDPR.
After more than a decade leading the digital transformation and cybersecurity initiatives of the services company, hes managed to forge a synergy where tech and informationsecurity are established as fundamental pillars for business success. Cybersecurity is also integral to Garca Dujos approach to transform.In
The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Open source isnt completely free as there are still infrastructure and management costs.
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment. To respond, CIOs are doubling down on organizational resilience.
With increasing data privacy and security regulations, geopolitical factors, and customer demands for transparency, customers are seeking to maintain control over their data and ensure compliance with national or regional laws. As organizations expand globally, securing data at rest and in transit becomes even more complex.
Securities and Exchange Commission (SEC)began enforcing new cybersecurity disclosure rules. This pushed C-level executives and boards to adopt measures for compliance and transparency. In this post, we look at the enforcement actions the SEC has taken and what public company CISOs should do to stay in compliance.
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.
Ecosystem warrior: Enterprise architects manage the larger ecosystem, addressing challenges like sustainability, vendor management, compliance and risk mitigation. Infrastructure architecture: Building the foundational layers of hardware, networking and cloud resources that support the entire technology ecosystem.
This is true whether it’s an outdated system that’s no longer vendor-supported or infrastructure that doesn’t align with a cloud-first strategy, says Carrie Rasmussen, CIO at human resources software and services firm Dayforce. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Leaders across every industry depend on its resilient cloud platform operated by a team of industry veterans and experts with extensive networking, connectivity, and security expertise.
Generative AI is a major investment and requires a substantial commitment in infrastructure and talent, Manry says. Are we prepared to handle the ethical, legal, and compliance implications of AI deployment? If ethical, legal, and compliance issues are unaddressed, CIOs should develop comprehensive policies and guidelines.
Drawing from current deployment patterns where companies like OpenAI are racing to build supersized data centers to meet the ever-increasing demand for compute power three critical infrastructure shifts are reshaping enterprise AI deployment. Here’s what technical leaders need to know, beyond the hype.
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. Adding vaults is needed to secure secrets. Hidden costs of public cloud For St.
Just because you’re a startup doesn’t mean you can be careless with the data you’re handling, but enterprise-grade compliance and privacy used to be prohibitively expensive for small teams. However, meeting governance, risk and compliance (GRC) standards and proving that you’ve done so used to be very expensive.
DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties. Governance and compliance reporting: Meeting governance standards is vital for avoiding fines and reputational damage.
CIOs lead digital transformation with strategic foresight, technical expertise, and a focus on cybersecurity and customer strategies. Risk assessments revealed vulnerabilities and inefficiencies, guiding our strategy to optimize, consolidate, enhance security, and align with business goals. Addressing cybersecurity is paramount.
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. Organizations have accelerated cloud adoption now that AI tools are readily available, which has driven a demand for cloud architects to help manage cloud infrastructure.
In the first installment of our Stronger Cloud Security in Five blog series, we outline five best practices for boosting your cloud configuration management. In addition, having misconfigured cloud resources puts your organization on the wrong side of regulatory compliance, and thus open to costly penalties, fines and litigation.
Creating a world that is safer and more secure is core to our vision at Palo Alto Networks, but this only can be achieved if we’re collectively making the internet, as a whole, safer. This could include: Implementing comprehensive security measures to ensure you have strong visibility of your assets and risk exposure.
Enter Securiti , a startup launched in 2019, originally with the idea of focusing on one aspect of data control, data privacy. But the company had the vision of building a broad platform of services to deal with not just privacy, but also data security, governance and compliance. It seems to be working.
Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management. AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge. He is reachable through his website: mtwriting.com.
There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
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