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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. But security must evolve with it.”
By 2025, women are expected to comprise 30% of the global cybersecurity workforce, with projections rising to 35% by 2031. One solution emphasized during the event was the critical role of mentorship and supportive networks in empowering women within cybersecurity. But we must do even more,” said H.E.
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.
Recognizing this, INE Security is launching an initiative to guide organizations in investing in technical training before the year end. This approach not only ensures wise expenditure of remaining budgets but also significantly strengthens organizational security postures.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
The Cybersecurity Maturity Model Certification (CMMC) serves a vital purpose in that it protects the Department of Defense’s data. But certification – which includes standards ensuring that businesses working with the DoD have strong cybersecurity practices – can be daunting.
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.
Meta will allow US government agencies and contractors in national security roles to use its Llama AI. The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI.
Cybersecurity venture investment jumped 43% in 2024 from the previous year as big rounds came back strong. Total funding to VC-backed cybersecurity startups hit nearly $11.6 In fact, there were 29 rounds of $100 million or more raised by cybersecurity startups compared to only 18 in 2023. billion last year, per Crunchbase data.
But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? That means easy embedding, data integrations, seamless automation, total security, and much more. Choosing the right embedded partner matters.
INE solves the problem of accessible, hands-on security training with structured learning paths and real-world labs, says SOC Analyst Sai Tharun K. For me, it has been very valuable in refining my penetration testing, cloud security, and threat analysis skills. a Cyber Security Researcher. a Pentesting Consultant.
As Artificial Intelligence (AI)-powered cyber threats surge, INE Security , a global leader in cybersecurity training and certification, is launching a new initiative to help organizations rethink cybersecurity training and workforce development. The concern isnt that AI is making cybersecurity easier, said Wallace.
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. It may be difficult to train developers when most junior jobs disappear.
Cloud skills include programming languages, database management, DevOps, security, containerization and microservices, data visualization, AI and ML, and automation. Its especially useful to create better software development workflows, and it improves proficiency and efficiency for SQL developers in particular.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. The "two pizza" team culture.
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.
After successive quarters of decline, venture funding to cybersecurity startups nudged up in the first quarter and could see even more investment after having the largest acquisition of a private, venture-backed company ever. Total funding to VC-backed cybersecurity startups topped $2.7 billion in Q1, per Crunchbase data.
It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill. An example of the new reality comes from Salesforce.
What happened In CrowdStrikes own root cause analysis, the cybersecurity companys Falcon system deploys a sensor to user machines to monitor potential dangers. What if theres an urgent security fix? If theres a security threat and potential exposure, you have to go through the testing process as quickly as you can, Prouty says.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
The modern network security landscape is undergoing a rapid transformation, driven by the increasing complexity of business operations and the rise of new technologies. The distributed nature of todays work environments, fueled by cloud computing, remote work, and the Internet of Things (IoT), presents unprecedented security challenges.
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.
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.
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider Like legacy security tools, such as traditional firewalls and signature-based antivirus software, organizations that have more traditional (and potentially more vulnerable) SOCs are struggling to keep pace with the increasing volume and sophistication of threats.
Shifting security left to the earliest part of development is currently in the spotlight in the developer world. What teams are now discovering is, this approach results in misdirected ownership for developers and a frustrated security team. How we see shift left is undermining it further.
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.
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. Its possible to opt-out, but there are caveats. So we augment with open source, he says.
This increased complexity means more companies will be relying on IT consultants to help navigate the changes and develop short-term and long-term strategies. An IT consultant is a technology professional who advises and supports business clients in designing, developing, and executing technology projects in service of business goals.
Skill mismatches ( 31% ) and inadequate training and development opportunities ( 29% ) underscore the demand for talent as well as the difficulty in finding candidates with the right skills. Take cybersecurity, for example. Take cybersecurity, for example.
As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.
One of the significant advantages of the cloud is that you get a lot of security controls out of the box. But these security controls can also block you from being productive! How are these security controls blocking me? When you develop a workload or work on a PoC , you will also use the IAM service.
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.
If competitors are using advanced data analytics to gain deeper customer insights, IT would prioritize developing similar or better capabilities. This process includes establishing core principles such as agility, scalability, security, and customer centricity. Contact us today to learn more.
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. What if it goes rogue, what if it is uncontrolled, what if it becomes the next arms race, how will the national security be ensured?”
Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS
Is your data secure? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Javier Ramirez will present: The typical steps for building a data lake.
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.
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
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Key challenges CISOs are and should be concerned about several AI-related areas in their cybersecurity pursuits. As AI solutions become more pervasive , its time to advance these organizational efforts in 2025.
Whether you are a business leader, developer or security professional, understanding prompt attacks is essential. Palo Alto Networks has released Securing GenAI: A Comprehensive Report on Prompt Attacks Taxonomy, Risks and Solutions , groundbreaking research on adversarial prompt attacks targeting GenAI systems.
With detailed pay rate data for top IT positions like Cybersecurity Consultants, Cloud Engineers, and Salesforce Developers, this guide is an essential resource for companies looking to stay competitive in today’s evolving workforce landscape. Download the guide to navigate 2024’s talent market with confidence.
Solution: Invest in continuous learning and development programs to upskill the existing workforce. 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. Contact us today to learn more.
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.
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. How do you build privacy, safety, security, and interoperability into the AI world?
startups raised half a billion dollars apiece, and another eight raised $100 million or more, with industries from cybersecurity to biotech to AI represented. and AI product development. Armis Security , $200M, cybersecurity: Cybersecurity startup Armis Security closed a $200 million Series D led by Alkeon Capital and General Catalyst.
Multi-tenant analytics is NOT the primary use case with traditional data warehouses, causing data security challenges. Data security requires custom-developed middleware in the form of metatable tables, user access controls, and a semantic layer that orchestrates data security.
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