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Darktrace / CLOUD™ brings real-time cloud detection & response to Microsoft Azure

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AI-based CDR system provides real-time detection, investigation, and prioritization of cloud threats.Integration with Microsoft Azure’s virtual network flow logs lowers deployment times by 95%.Darktrace research shows almost two thirds of cybersecurity professionals expect cloud security to be where defensive AI has the greatest impact by 2027.Darktrace / CLOUD leverages virtual network flow logs to understand the unique network patterns of Azure environments.

CAMBRIDGE, UK, Oct. 3, 2024 /PRNewswire/ — Darktrace, a global leader in AI for cybersecurity, today announced the expansion of Darktrace / CLOUD to support Microsoft Azure environments. The AI-driven Cloud Detection and Response (CDR) system leverages Microsoft’s virtual network flow logs for agentless deployment, slashing deployment times by 95%.

The need for AI-driven cloud security has never been more critical. 51% of US organizations use cloud computing today1, and global spending on public cloud services is expected to reach $805 billion in 20242. Moreover, Darktrace’s State of AI Cybersecurity report found that 61% of cybersecurity professionals surveyed believe cloud security will be the area most impacted by defensive AI over the next three years. Yet, security professionals highlight lack of skills and cost as barriers to building3. Darktrace / CLOUD helps organizations tackle these challenges head on.

Enabling teams through real-time understanding, detection and response in the cloud

Also available for AWS deployments, Darktrace / CLOUD is built from the ground up for cloud defense. It leverages Darktrace’s unique Self-Learning AI to monitor cloud assets, containers and users, and correlate that activity with identity and network data from across an organization’s digital ecosystem. This contextualized understanding enables Darktrace / CLOUD to provide proactive detection, investigation and response to malicious activity across cloud environments, within seconds.

Darktrace’s Self-Learning AI also enables Darktrace / CLOUD to deliver automated Cloud Security Posture Management (CSPM). It continuously assesses cloud configurations against industry standards, and allows security teams to identify and prioritize misconfigurations, vulnerabilities, and policy violations in real-time. These capabilities give security teams a complete, live understanding of their cloud environments and help them focus their limited time and resources where they are needed most.

“At Centre Parcs, we’ve brought WiFi to the forest. Our network enables everything down to ordering food or paying for an activity with a QR code and smartphone. Cloud is central to that,” comments Haider Kubba, Group Information Security Officer at Center Parcs, the UK’s leading short break vacation destination, running six vacation villages in the UK and Republic of Ireland.

“Cloud audit logging and audit review, and the flexibility of cloud in general, is amazing for business – but it’s also a challenge for security, and it’s on the security team to say ‘Yes, we can absolutely make this happen securely’. With Darktrace, I know my cloud formation, my cloud infrastructure, the environment in which a lot of guests will be interacting with, is secure.”

Orla McGrath, Global Partner Solutions Lead, UK, Microsoft adds, “Darktrace / CLOUD is an exciting expansion of Darktrace and Microsoft’s longstanding collaboration. It brings real-time cloud detection and response to Microsoft Azure customers, and through Darktrace’s integration with virtual network flow logs, makes accessing that new level of security fast and simple.”

Simplified deployment with Microsoft Azure

Darktrace / CLOUD is one of the first security systems to integrate with Microsoft Azure’s virtual network flow logs for agentless deployment into the cloud. By leveraging virtual network flow logs, Darktrace / CLOUD automatically captures network data and integrates into Azure cloud environments with minimal manual effort beyond initial configuration. Consequently, deployment times are reduced to as little as 15 minutes, from several weeks, common for agent-based systems, and several days with most agentless systems.

“The availability of Darktrace / CLOUD in Microsoft Azure offers new security opportunities for single and multi-cloud users, including improved identity and access management (IAM), which has been voted by European security leaders as the top cloud security challenge facing their organizations in 2024. It also offers new possibilities for agentless cloud detection and response, taking advantage of Azure’s new virtual network flow logs,” said David Clemente, IDC.

Lowered cloud operating costs through agentless deployment

Darktrace / CLOUD’s agentless approach additionally lowers the cost of operating cloud by eliminating the CPU and memory consumption associated with cloud security agents. Through Darktrace / CLOUD’s agentless approach, the need for dedicated resources per cloud instance is reduced and performance impact minimized. Teams can scale their security across their cloud architecture without the cost of additional agents.

“As organizations rapidly transition to the cloud, cloud detection and response are becoming critical to ensuring safety and security, but personnel and cost are proving notable barriers to their effective deployment,” comments Max Heinemeyer, Chief Product Officer at Darktrace.

“We built Darktrace / CLOUD to help teams protect their cloud with the resources they have. Using our Self-Learning AI, integrated with Microsoft Azure, it deploys quickly and easily then provides teams with constant visibility, autonomous investigation and real-time response without ballooning operating costs. Teams can focus on building their resilience, not firefighting.”

Darktrace / CLOUD is available through Azure Marketplace via private offer, listed under Darktrace ActiveAI Security Platform™.

For more information about Darktrace / CLOUD and its support for Azure, please visit darktrace.com/blog/introducing-real-time-multi-cloud-detection-response-powered-by-ai.

About Darktrace
Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting organizations from unknown threats using its proprietary AI that learns from the unique patterns of life for each customer in real-time. The Darktrace ActiveAI Security Platform™ delivers a proactive approach to cyber resilience with pre-emptive visibility into security posture, real-time threat detection, and autonomous response – securing the business across cloud, email, identities, operational technology, endpoints, and network. Breakthrough innovations from our R&D teams in Cambridge, UK, and The Hague, Netherlands have resulted in over 200 patent applications filed. Darktrace’s platform and services are supported by over 2,400 employees around the world who protect nearly 10,000 customers across all major industries globally. To learn more, visit http://www.darktrace.com

1 https://awsus.publicfirst.co/

2 IDC Press Release,Worldwide Spending on Public Cloud Services is Forecast to Double Between 2024 and 2028, According to New IDC Spending Guide, July 2024

https://files.scmagazine.com/wp-content/uploads/2023/11/CBIR_Cloud-Security_CISO-Stories.pdf

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SOURCE Darktrace

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AFP Launches No Code AI for Finance Certificate to Upskill Finance Teams

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New certificate empowers financial professionals with real-world AI skills that don’t require programming expertise

ROCKVILLE, Md., April 29, 2026 /PRNewswire/ — The Association for Financial Professionals (AFP) announced the launch of its No Code AI for Finance Certificate Program. Taught by an AI expert with a background in finance and operations, the virtual on-demand program goes beyond theory, providing practical applications of AI in finance.

Key takeaways

Practical curriculum: The certificate course, developed through feedback from finance practitioners, provides hands-on exercises and lessons on building a data foundation, training and interpreting machine learning models, generating insights with generative AI and embedding ethics in AI adoptionSelf-paced learning: Once registered for the certificate, eight hours of on-demand content across four modules are available in AFP Learn.Professional recognition: The certificate course is eligible for 9.6 CTP, FPAC and CCM Credits and provides a Digital Badge and printable certificate upon successful completion.

Why it matters
The finance function is at a critical turning point. Data volumes are growing while finance professionals are increasingly being asked to do more with less. The No Code AI for Finance Certificate equips teams to scale their impact by automating labor-intensive workflows and speeding up processes while maintaining accuracy.

Comprehensive curriculum
The certificate program includes four modules that are tailored to the specific needs of finance professionals:

Data Foundations for Trustworthy Finance Analytics: Learn about decision cycles AI can shorten, mitigation tactics for AI hallucinations, and the difference between supervised, unsupervised and generative tasks.Understanding the Full Machine Learning Process and Its Results: Learn to frame finance machine learning problems correctly, choose and defend the right success metrics for each task and translate model results into business-ready insights.Generative AI for Finance: Smarter Questions, Faster Insights: Learn to write prompts for GenAI, generate and refine GenAI-supported data-prep code, pressure test insights with GenAI and apply guardrails for GenAI.From AI Capability to Adoption & Ethics by Design: Learn to select and prioritize a first AI pilot, design an operating cadence, draft an ethics and risk control sheet, and define ROI and adoption KPIs.

Each module includes downloadable assets to help learners apply the lessons to their day-to-day work.

Key quote
“At AFP, we recognized a clear need for training that addresses finance-specific applications of AI. This certificate acts as a bridge to connect financial professionals to the transformative power of AI, ensuring they remain the indispensable strategic partners their organizations require,” said Pat Culkin, President & CEO of AFP.

Ready to lead AI adoption in your finance team?
Enroll in the certificate program and begin working toward the No Code AI for Finance Certificate.

FAQs
Who should enroll in this certificate program?
The program is designed for financial professionals at all levels looking to integrate AI into their workflows.

Are there any prerequisites for the course?
There are no prerequisites for this course. It is accessible to professionals of all technical backgrounds. No coding knowledge is required.

How is the course delivered?
The course consists of eight hours of on-demand content across four modules, which can be completed at the learner’s own pace.

How much does it cost to enroll in the certificate program?
The certificate program is $295 for AFP members and $495 for non-members.

About AFP®
Headquartered outside of Washington, D.C., and located regionally in Singapore, the Association for Financial Professionals (AFP) is the professional society committed to advancing the success of treasury and finance members and their organizations. Established and administered by AFP, the Certified Treasury Professional and Certified Corporate FP&A Professional credentials set standards of excellence in treasury and finance. Each year, AFP hosts the largest networking conference worldwide for about 7,000 corporate financial professionals.

Media contact
Joe Hodanich
Senior Director, Digital Strategy & Content
Association for Financial Professionals
Email: jhodanich@financialprofessionals.org

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SOURCE Association for Financial Professionals

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KT Corp. Files 2025 Annual Report on Form 20-F

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SEOUL, South Korea, April 29, 2026 /PRNewswire/ — KT Corporation (NYSE: KT), South Korea’s largest integrated telecom and digital platform service provider, announced that it has filed its Form 20- F Annual Report on April 29th, 2026 for the year ended December 31, 2025 with the Securities and Exchange Commission of the United States. The report can be accessed on KT’s English website at https://corp.kt.com/eng in the Investors section under Business Report as well as the SEC’s Edgar database at www.sec.gov. Shareholders may also request a hard copy of the Form 20-F Annual Report that includes audited financial statements of 2025, free of charge, by sending an e-mail to the Company’s IR department at ktir@kt.com.

About KT Corporation (KRX: 030200; NYSE: KT)

KT Corporation is the leading integrated telecommunications and platform service provider based in South Korea. Principal services include mobile, Broadband, IPTV, B2B communications, and fixed-line telephony. The Company has industry-leading market presence in Broadband, media services, and fixed-line telephony by maintaining the No.1 market share positions. Also, the Company is the No.1 player in B2B communications and offers a wide range of digital transformation services (DC, Cloud, AI, etc.). Additionally, the Company possesses a well-balanced portfolio of diverse subsidiaries focusing on media/content, financial services, real estate developments, and commerce industries.

Forward-Looking Statements

This communication contains “forward-looking statements” that are based on our current expectations, assumptions, estimates and projections about us and the industries in which we operate. The forward-looking statements are subject to various risks and uncertainties. Generally, these forward-looking statements can be identified by the use of forward-looking terminology such as “anticipate,” “believe,” “estimate,” “expect,” “intend,” “project,” “should,” and similar expressions. Those statements include, among other things, the discussions of our business strategy and expectations concerning our market position, future operations, margins, profitability, liquidity and capital resources. We caution you that reliance on any forward-looking statement involves risks and uncertainties, and that although we believe that the assumptions on which our forward-looking statements are based are reasonable, any of those assumptions could prove to be inaccurate, and, as a result, the forward-looking statements based on those assumptions could be incorrect. The uncertainties in this regard include, but are not limited to, those identified in the risk factors discussed above. In light of these and other uncertainties, you should not conclude that we will necessarily achieve any plans and objectives or projected financial results referred to in any of the forward-looking statements. We do not undertake to release the results of any revisions of these forward-looking statements to reflect future events or circumstances.

IR department:
+82-70-4193-4036
ktir@kt.com

View original content:https://www.prnewswire.com/news-releases/kt-corp-files-2025-annual-report-on-form-20-f-302757200.html

SOURCE KT Corp.

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SK TELECOM CO. LTD. FILES ITS ANNUAL REPORT ON FORM 20-F

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SEOUL, South Korea, April 29, 2026 /PRNewswire/ — On April 29, 2026, SK Telecom Co., Ltd. filed its Annual Report on Form 20-F for the year ended December 31, 2025 with the U.S. Securities and Exchange Commission. The 2025 Annual Report on Form 20-F can be viewed on www.sktelecom.com, as well as from the website of the U.S. Securities and Exchange Commission at www.sec.gov. Printed copies of SK Telecom’s complete audited financial statements (including footnotes) as of and for the year ended December 31, 2025 can be requested, free of charge, by written request to skt.ir@sk.com.

View original content:https://www.prnewswire.com/news-releases/sk-telecom-co-ltd-files-its-annual-report-on-form-20-f-302757201.html

SOURCE SK Telecom Co., Ltd

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