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August 25, 2025<h3>The Future of Generative AI: Beyond the Cloud</h3><br /> <br /> Generative AI has rapidly become a cornerstone of technological innovation, driving advancements across various fields. However, as the technology continues to evolve, its future may not be confined to the cloud. The growing demand for faster processing, real-time applications, and enhanced privacy is prompting a shift towards decentralized computing solutions. This transition could redefine how we harness the power of generative AI, moving beyond the traditional cloud infrastructure.<br /> <br /> One of the primary reasons for this shift is the need for speed and efficiency. Cloud-based solutions often struggle with latency issues due to data transfer times between local devices and distant servers. By moving AI processing closer to the source, whether through edge computing or on-device AI, we can significantly reduce these delays. This is particularly crucial for applications like autonomous vehicles or real-time language translation, where every millisecond counts.<br /> <br /> Privacy concerns also play a pivotal role in this transition. As generative AI systems become more integrated into our daily lives, the amount of sensitive data they handle continues to increase. Decentralizing AI processing helps mitigate privacy risks by keeping data localized, reducing the need to transmit sensitive information across networks. This not only enhances data security but also aligns with growing regulatory demands for data protection.<br /> <br /> Moreover, decentralization can lead to more sustainable AI practices. Cloud computing centers consume vast amounts of energy, contributing to their significant carbon footprint. By distributing processing tasks across various devices and edge servers, we can achieve energy efficiency and reduce the environmental impact of AI operations. This approach aligns with the global push towards greener technology solutions.<br /> <br /> In conclusion, while the cloud has been instrumental in the rise of generative AI, its future may lie elsewhere. By embracing decentralized approaches, we can enhance performance, safeguard privacy, and foster sustainability. As we continue to explore the potential of generative AI, it is essential to consider these alternative pathways that promise a more efficient and responsible technological future. December 27, 2024<h3>Palo Alto Fixes Critical Firewall Denial-of-Service Vulnerability</h3> December 15, 2025Cybersecurity Engineer SME April 17, 2025<h3>Canada Urges Cyber Defenders to Fortify Edge Devices</h3> May 11, 2025Senior Cybersecurity Specialist November 27, 2023Passive Method Discovered by Experts for Extracting Private RSA Keys from SSH Connections November 18, 2023AT&T Establishes Partnership for Managed Cybersecurity Venture September 7, 2025Cybersecurity Intern January 4, 2025Cloud Cybersecurity Engineer lead July 10, 2024Principal Cybersecurity Analyst ( Active Secret required)
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  Careers  Paralegal – Privacy & Cybersecurity (PaC)
Careers

Paralegal – Privacy & Cybersecurity (PaC)

SecuredyouadmSecuredyouadm—April 30, 20250
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Senior Cybersecurity Analyst

April 19, 2024

Manager of Data Security, Cybersecurity InfoSec

January 7, 2026

Product Security Analyst – Cybersecurity Mid-level / Senior

July 5, 2024

Cybersecurity Technologist Senior

September 30, 2025

Hogan Lovells’ Privacy and Cybersecurity (PaC) practice area is recognized as a first-tier practice in this dynamic and in-demand area of the law. The partners, counsel, and associate lawyers in the practice provide clients with specialized and experienced counseling and representation on privacy, data management, and cybersecurity issues that arise in a wide range of industries and activities, and are at the forefront of legal and policy developments in the United States and around the globe. The PaC team counsels tech-sector titans in Silicon Valley and major financial services corporations in New York. The auto industry turned to PaC to help them develop “connected car privacy principles.” PaC recently handled one of the largest retail data breaches, one of the largest health insurer data breaches, and one of the largest hospital data breaches — all within a few months of one another.There is a billing requirement for this role of 1,650 hours per evaluation year.JOB DESCRIPTIONThe Paralegal is a valued member of the global PaC practice and will be based in the firm’s Washington, D.C. office. The Paralegal will work closely with Senior Paralegals, attorneys, and other support staff in the United States and Europe to provide exceptional client service to the PaC practice.The position’s primary responsibilities will include:Analyze documents and materials, and provide written work containing the analysis.Organize and summarize large sets of files received by clients, including for contested matters such as regulatory investigations.Take and assist with the preparation of materials for attorney-client meetings.Assist attorneys with follow-up research and clarifications to content provided, as requested.Compile information into charts, graphs and timelines, and be able to prepare presentation materials such as PowerPoin presentations.Assist in the preparation of documents, including proofreading, critical review, and collation.Play a substantial role in the preparation of written updates on law and policy for firm clients and internal audiences.Support project management, including building out trackers and coordinating workstreams.Provide third-party relationship tracking and support, including vendors and local counsel.Interact with client contacts, including paralegals and others, to coordinate on larger projects.QUALIFICATIONS/REQUIRED SKILLSExcellent organization and project management skills, including ability to meet deadlines.Excellent attention to detail, as demonstrated by ability to proofread and create quality work product.Strong ability to create and edit professional-quality and visually appealing documents.Strong written and oral communication abilities.Personal responsibility and professionalism – takes ownership of projects and outcomes.Flexible team player – works well with others, able to adjust to meet client priorities.Multi-tasking/prioritization – can understand what’s important and prioritize.Self-starter – seeks assignments, offers ideasSubject-matter interest – familiarity with U.S. and international privacy law frameworks.Cross-cultural awareness and comfort – can interact with diverse, global constituents.EDUCATION, CERTIFICATIONS, AND/OR EXPERIENCEBachelor’s degree required or equivalent combination of education and work experience;Two (2) to five (5) years of paralegal experience preferred;Large law firm experience is desirable.HOURSCore hours are Monday through Friday, 9:00 a.m. to 6:00 p.m., including one hour for lunch, with flexibility for overtime as needed.The annualized salary range for this position is $57,000 to $70,000 depending on the candidate’s overall experience and other job-related factors permitted by law. Full time employees may be eligible for a discretionary bonus. In addition, full time employees as well as some part time employees, will be eligible for the firm’s fringe benefits as they currently exists. Please find out more about our benefit programs hereThis job description sets forth the responsibilities of this position and may be changed from time to time as shall be determined.Hogan Lovells is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, age, national origin, disability, sexual orientation, gender identity or expression, marital status, genetic information, protected Veteran status, or other factors protected by law.Hogan Lovells complies with federal and state disability laws and makes reasonable accommodations for applicants and candidates with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, please contact our Benefits Department at [email protected].
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Securedyouadm

DevOps and Cybersecurity Engineer / Data Automation
Associate Cybersecurity Engineer – Network Security & AI
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