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AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. 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.
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.
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.
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. Oren Yunger. Contributor. Share on Twitter.
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.
AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC.
The new fund is just the latest example of investor excitement about healthcare- and biotech-related uses for AI. Venture funding to AI-related biotech and healthcare startups hit only $4.8 billion was raised by AI-related biotech/healthcare related startups. billion in 2023, a significant decrease from 2022.
Osana Salud , which aims to transform the healthcareinfrastructure in Latin America, has closed on a $20 million Series A round of funding led by General Catalyst. CEO Andre Lawson told TechCrunch he was inspired to start Osana Salud because an estimated 50% of Latin America does not have access to quality healthcare.
Cyberattacks in the healthcare industry undermine our ability to deliver quality care and can endanger the safety, and even the lives, of our patients. As I look at 2023 and beyond, I see three areas that are top of mind for myself and many of my colleagues in healthcare. A Lack of Visibility You can’t protect what you can’t see.
The COVID-19 pandemic fundamentally altered healthcare in 2020. Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures.
Less than a year after its $3 million seed round , Verifiable snapped up another $17 million for its healthcare provider credentialing API toolkit. The Austin-based company’s technology creates an infrastructure for healthcare provider data management that puts providers at the center.
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.
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.
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.
By Anand Oswal, Senior Vice President and GM at cyber security leader Palo Alto Networks Critical infrastructure forms the fabric of our society, providing power for our homes and businesses, fuel for our vehicles, and medical services that preserve human health. Examples are all around us. The list goes on and on.
In a groundbreaking move, the UAE is set to redefine the healthcare landscape, blending cutting-edge technology with medical innovation. A series of high-impact initiatives, fueled by the collaboration between government entities and private healthcare providers, are ushering in a new era for healthcare in the region.
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.
Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. Many companies are also hiring for infrastructure and specialized engineering roles, Thomasian says.
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).
1 - CISA: Hundreds of critical infrastructure orgs hit by Medusa ransomware Dont let the Medusa ransomware group turn your network into stone. government sent this week via an advisory to cybersecurity teams, especially those at critical infrastructure organizations. Thats the message the U.S.
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.
Yet every device increases an organization’s attack surface, along with the potential for a cybersecurity attack. The challenge was the driving force behind Ordr, a startup focused on network-level device security. Ordr’s device monitoring dashboard. It’s key to note that no software is flawless.
Companies (and VCs ) spend billions of dollars on cybersecurity, but primarily focus on protecting infrastructure or endpoints. According to one 2021 survey, 61% of security leaders in the enterprise believed their cybersecurity teams to be understaffed. Some investors agree.
1 - New cyber guides unpack how to secure network edge wares Looking for insights and best practices for preventing and mitigating cyberattacks against network edge hardware and software devices, such as routers, VPN gateways, IoT devices, web servers and internet-facing operational technology (OT) systems? And a new U.K. And much more!
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.
Like other data-rich industries, banking, capital markets, insurance and payments firms are lucrative targets with high-value information. Conversely, threat actors – from cybercriminals to nation-states – are harnessing AI to craft more sophisticated attacks, automate their operations, and evade traditional security measures.
Infrastructure and data provisioning to manage and operate AI grew. Other leading sectors included autonomous driving, healthcare, robotics, professional services, security and military, Crunchbase data shows. Of those AI dollars, almost a third of all AI funding went to foundation model companies.
Cloud Solutions for Healthcare Industry: Cloud Computing has come a long way. But since then, Cloud solutions for healthcare have evolved into something far more complex. But since then, Cloud solutions for healthcare have evolved into something far more complex. Need for Cloud Solutions for Healthcare.
However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers. In this article, discover how HPE GreenLake for EHR can help healthcare organizations simplify and overcome common challenges to achieve a more cost-effective, scalable, and sustainable solution.
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. Additional organizations are also covered under certain criteria listed in the proposed rule.
Check out best practices for shoring up data security and reducing cyber risk. And get the latest on cyber scams; zero-day vulnerabilities; and critical infrastructuresecurity. 1 - CSA: How to boost data security and reduce cyber risk Risk assessment gaps. Siloed cyber tools. Misaligned priorities.
Insights and Strategies for Healthcare Leaders to Drive Innovation, Integration, and Success in a Rapidly Evolving Industry. As the healthcare industry continues to undergo rapid changes, driven by advancements in technology and evolving patient needs, it is crucial for healthcare organizations to stay ahead of the curve.
2024 ushered in significant changes for the healthcare industry. Unfortunately, this increased reliance on health data also coincided with a surge in cyberattacks 92% of healthcare organizations experienced a cyberattack in 2024. Top 5 HealthcareCybersecurity Trends 1. How do they strike that balance?
The IT infrastructure company said it will use the fresh cash for M&A activities and entering new markets globally. Cyera , $300M, cybersecurity: After raising a $300 million Series C led by Coatue at a $1.4 While a cybersecurity company, Cyera is certainly riding the AI wave. and AI product development. came from Europe.
The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. The pivotal role of AI in healthcare From clinical applications to operational efficiencies, AI is already having a significant impact on the healthcare industry.
Telecom networks are an integral backbone of the digital infrastructure that powers our economies today. They’re the driving force behind every industry’s digital transformation, connecting businesses, people, and information like never before. One of these is bridging the digital divide and ensuring universal access to connectivity.
Mainframes hold an enormous amount of critical and sensitive business data including transactional information, healthcare records, customer data, and inventory metrics. Much of this data must adhere to regulations for organizations to remain compliant, which is why they are often housed in a secure mainframe.
Growing AI portfolio For SoftBank, the Ampere deal fits into a broader investment strategy around AI infrastructure. Most prominently, SoftBank is a lead partner and backer for The Stargate Project , a multicompany initiative which is looking to spend $500 billion over the next four years to build out AI datacenters and infrastructure.
A core aspect of Dubai’s AI strategy is ensuring the security of AI systems, and the Dubai Electronic Security Center is at the forefront of these efforts. AI Security Policies: Navigating the future with confidence During Dubai AI&Web3 Festival recently hosted in Dubai, H.E.
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.
Fast forward to today, and AI in healthcare is rapidly transforming how we diagnose, treat, and care for patients. From intelligent algorithms diagnosing diseases faster than the human eye, to virtual health assistants providing round-the-clock support, AI is revolutionizing the healthcare industry.
The last decade has seen its fair share of volatility in the healthcare industry. That’s especially true in the healthcare sector, where the dazzling future GenAI is trying to usher in is often limited by the shortcomings inside an organization’s legacy infrastructure.
Over the last few years, the UAE has rapidly positioned itself as a global hub for technology and innovation, with a strong focus on artificial intelligence (AI), cybersecurity, and digital infrastructure. Alongside AI, cybersecurity is a critical focus for the UAE as it continues to digitize its economy and public services.
Nillion is a deep technology infrastructure project,” Andrew Yeoh, the company’s founding chief marketing officer, told TechCrunch. The startup aims to provide a new internet infrastructure for securing storage and data computation. Companies and competitors can collaborate without passing on key information,” Yeoh said.
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