#Splunk Enterprise

[techdirectarchive]

Install Splunk and Veeam App on Windows Server to monitor VBR

Splunk Enterprise is a powerful platform that automates the collection, indexing, monitoring, and alerting of data. This enables you to aggregate and analyze events efficiently. With Splunk, you can gain full control over your data flow and leverage it to drive business insights and decisions. Kindly read about data management and governance. n this acticle, we shall discuss how to install Splunk…

[cyber-sec]

Splunk Patches High-Severity Vulnerabilities in Enterprise Product

Source: https://www.securityweek.com/splunk-patches-high-severity-vulnerabilities-in-enterprise-product/

More info: https://advisory.splunk.com/advisories

[aimarketresearch]

Information Technology (IT) Operations Analytics Market Size, Share, Trends, Demand, Growth, Challenges and Competitive Analysis

Executive Summary Information Technology (IT) Operations Analytics Market :

The market study of Information Technology (IT) Operations Analytics Market report helps minimize the risks of uncertainties and helps in taking sound decisions. This market report is also helpful in assessing the effectiveness of advertising programme and knows the causes of consumer resistance. It reveals the nature of demand for the firm’s product to know if the demand for the product is constant or seasonal. The report ascertains status of the firm and its products. The report aids to know how patents, licensing agreements and other legal restrictions affect the manufacture and sale of the firm’s products. The market analysis and competitor analysis helps the firm in determining the range in terms of sizes, colours, designs, and prices, etc within which its products are to be offered to the consumers.

This industry report is helpful in knowing the general conditions prevailing in the mark, the marketing and pricing strategy of competitors. Information Technology (IT) Operations Analytics Market research report is a vital document in planning business objectives or goals. It is an organized method to bring together and document information about the  industry, market, or potential customers. The info covered helps businesses know how patents, licensing agreements and other legal restrictions affect the manufacture and sale of the firm’s products. It is helpful in determining the discount rates, the actual prices and the price ranges, price elasticity for its products.

Discover the latest trends, growth opportunities, and strategic insights in our comprehensive Information Technology (IT) Operations Analytics Market report. Download Full Report: https://www.databridgemarketresearch.com/reports/global-it-operations-analytics-market

Information Technology (IT) Operations Analytics Market Overview

Segments

Component**: The IT operations analytics market is segmented by component into solutions and services. Solutions account for a significant market share due to the increasing demand for advanced analytics tools. On the other hand, services are also witnessing growth as organizations seek professional assistance for the implementation and maintenance of analytics solutions.

Deployment Mode**: Based on deployment mode, the market is categorized as on-premises and cloud. The cloud deployment mode is gaining traction among organizations due to its cost-effectiveness, scalability, and flexibility. On-premises deployment is also prevalent, especially among large enterprises with specific security and compliance requirements.

Organization Size**: The IT operations analytics market is classified by organization size into small and medium-sized enterprises (SMEs) and large enterprises. Large enterprises hold a dominant position in the market due to their substantial IT infrastructure and budget capabilities. However, SMEs are adopting IT operations analytics solutions to enhance their operational efficiency and competitiveness.

Market Players

Splunk Inc.**: Splunk offers a comprehensive IT operations analytics platform that enables organizations to monitor, analyze, and visualize their machine data for valuable insights. The company's solutions cater to various industries, including healthcare, finance, and retail.

IBM Corporation**: IBM provides robust IT operations analytics tools that leverage AI and machine learning technologies to improve operational performance and mitigate risks. The company's analytics solutions are widely adopted by enterprises globally.

Dynatrace LLC**: Dynatrace specializes in providing AI-driven IT operations analytics solutions that enable real-time monitoring and performance optimization. The company caters to diverse sectors such as e-commerce, telecommunications, and manufacturing.

Micro Focus International plc**: Micro Focus offers IT operations analytics solutions that help organizations manage their IT infrastructure efficiently and proactively detect and resolve issues. The company serves clients across various verticals, including government, healthcare, and education.

The Global Information Technology (IT) Operations Analytics Market is poised for continued growth driven by the escalating digitization of businesses across various industry verticals. With the proliferation of data from interconnected devices, applications, and systems, enterprises are increasingly recognizing the importance of harnessing IT operations analytics solutions to extract valuable insights that can drive strategic decision-making and optimize operational performance. The market landscape is witnessing a surge in demand for real-time visibility and predictive analytics capabilities to proactively address IT infrastructure issues, mitigate risks, and ensure uninterrupted business operations.

One of the key trends shaping the IT operations analytics market is the growing adoption of artificial intelligence (AI) and machine learning technologies to enable predictive analytics and automated responses to IT incidents. By leveraging AI-driven analytics tools, organizations can detect anomalies, predict potential disruptions, and streamline troubleshooting processes, thereby enhancing overall operational efficiency and reducing downtime. Furthermore, the integration of cognitive computing capabilities into IT operations analytics platforms is enabling enterprises to achieve higher levels of automation and intelligence in managing complex IT environments.

Another prominent trend in the IT operations analytics market is the increasing emphasis on cloud-based deployment models. Cloud computing offers scalability, agility, and cost-effectiveness, making it an attractive choice for organizations looking to modernize their IT operations and infrastructure. Cloud-based IT operations analytics solutions enable organizations to access real-time insights from anywhere, streamline collaboration among geographically dispersed teams, and reduce the burden of managing on-premises infrastructure. As more businesses transition to cloud-native environments, the demand for cloud-based IT operations analytics tools is expected to surge in the coming years.

Another key trend shaping the IT operations analytics market is the integration of AI and machine learning technologies to enable predictive analytics and automated responses to IT incidents. By harnessing the power of AI-driven analytics tools, organizations can proactively detect anomalies, forecast potential disruptions, and streamline troubleshooting processes, thereby enhancing overall operational efficiency and minimizing downtime. The adoption of predictive analytics not only helps in identifying potential issues before they escalate but also empowers IT teams to optimize resource allocation, prioritize critical tasks, and enhance the overall performance of IT infrastructure.

Furthermore, the convergence of IT operations analytics with other technology domains such as cybersecurity, DevOps, and business intelligence is fostering innovation and creating new opportunities in the market. Integrated analytics platforms that combine IT operations data with security insights, application performance metrics, and business KPIs are enabling organizations to gain a comprehensive view of their IT landscape and make data-driven decisions that align with strategic objectives. This holistic approach to analytics not only improves operational agility and resilience but also enhances cross-functional collaboration, enabling organizations to respond effectively to changing market dynamics and deliver superior customer experiences.

In conclusion, the Global IT Operations Analytics Market is poised for dynamic growth driven by the increasing adoption of cloud-based deployment models, the integration of AI-driven technologies, and the convergence of analytics with cybersecurity and business intelligence. Organizations that leverage advanced analytics tools and embrace emerging trends in IT operations analytics will be better equipped to navigate the evolving digital landscape, drive innovation, and achieve sustainable growth. As the market continues to evolve, companies must focus on building agile, data-driven cultures, fostering collaboration across different departments, and investing in robust analytics solutions to stay competitive and capture new opportunities in the fast-paced digital economy.

The Information Technology (IT) Operations Analytics Market is highly fragmented, featuring intense competition among both global and regional players striving for market share. To explore how global trends are shaping the future of the top 10 companies in the keyword market.

Learn More Now: https://www.databridgemarketresearch.com/reports/global-it-operations-analytics-market/companies

DBMR Nucleus: Powering Insights, Strategy & Growth

DBMR Nucleus is a dynamic, AI-powered business intelligence platform designed to revolutionize the way organizations access and interpret market data. Developed by Data Bridge Market Research, Nucleus integrates cutting-edge analytics with intuitive dashboards to deliver real-time insights across industries. From tracking market trends and competitive landscapes to uncovering growth opportunities, the platform enables strategic decision-making backed by data-driven evidence. Whether you're a startup or an enterprise, DBMR Nucleus equips you with the tools to stay ahead of the curve and fuel long-term success.

The report provides insights on the following pointers:

Market Penetration: Comprehensive information on the product portfolios of the top players in the Information Technology (IT) Operations Analytics Market.

Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.

Competitive Assessment:In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.

Market Development:Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.

Market Diversification:Exhaustive information about new products, untapped geographies, recent developments, and investments in the Information Technology (IT) Operations Analytics Market.

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About Data Bridge Market Research:

An absolute way to forecast what the future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

Contact Us: Data Bridge Market Research US: +1 614 591 3140 UK: +44 845 154 9652 APAC : +653 1251 975 Email:- corporatesales@databridgemarketresearch.com

Tag

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[cybersecurityict]

Big Data Market 2032: Will Enterprises Unlock the Real Power Behind the Numbers

The Big Data Market was valued at USD 325.4 Billion in 2023 and is expected to reach USD 1035.2 Billion by 2032, growing at a CAGR of 13.74% from 2024-2032.

Big Data Market is witnessing a significant surge as organizations increasingly harness data to drive decision-making, optimize operations, and deliver personalized customer experiences. Across sectors like finance, healthcare, manufacturing, and retail, big data is revolutionizing how insights are generated and applied. Advancements in AI, cloud storage, and analytics tools are further accelerating adoption.

U.S. leads global adoption with strong investment in big data infrastructure and innovation

Big Data Market continues to expand as enterprises shift from traditional databases to scalable, intelligent data platforms. With growing data volumes and demand for real-time processing, companies are integrating big data technologies to enhance agility and remain competitive in a data-centric economy.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2817 

Market Keyplayers:

IBM

Microsoft

Oracle

SAP

Amazon Web Services (AWS)

Google

Cloudera

Teradata

Hadoop

Splunk

SAS

Snowflake

Market Analysis

The Big Data Market is shaped by exponential data growth and the rising complexity of digital ecosystems. Businesses are seeking solutions that not only store massive datasets but also extract actionable intelligence. Big data tools, combined with machine learning, are enabling predictive analytics, anomaly detection, and smarter automation. The U.S. market is at the forefront, with Europe close behind, driven by regulatory compliance and advanced analytics adoption.

Market Trends

Rapid integration of AI and machine learning with data platforms

Growth in cloud-native data lakes and hybrid storage models

Surge in real-time analytics and streaming data processing

Increased demand for data governance and compliance tools

Rising use of big data in fraud detection and risk management

Data-as-a-Service (DaaS) models gaining traction

Industry-specific analytics solutions becoming more prevalent

Market Scope

Big data’s footprint spans nearly every industry, with expanding use cases that enhance efficiency and innovation. The scope continues to grow with digital transformation and IoT connectivity.

Healthcare: Patient analytics, disease tracking, and personalized care

Finance: Risk modeling, compliance, and trading analytics

Retail: Consumer behavior prediction and inventory optimization

Manufacturing: Predictive maintenance and process automation

Government: Smart city planning and public service optimization

Marketing: Customer segmentation and campaign effectiveness

Forecast Outlook

The Big Data Market is on a strong growth trajectory as data becomes a core enterprise asset. Future success hinges on scalable infrastructure, robust security frameworks, and the ability to translate raw data into strategic value. Organizations investing in modern data architectures and AI integration are best positioned to lead in this evolving landscape.

Access Complete Report: https://www.snsinsider.com/reports/big-data-market-2817 

Conclusion

In an increasingly digital world, the Big Data Market is not just a technology trend—it’s a critical engine of innovation. From New York to Berlin, enterprises are transforming raw data into competitive advantage. As the market matures, the focus shifts from volume to value, rewarding those who can extract insights with speed, precision, and responsibility.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Related Reports:

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[nextmsc]

𝗗𝗶𝗱 𝗬𝗼𝘂 𝗞𝗻𝗼𝘄?

𝗪𝗵𝘆 𝘁𝗵𝗲 𝗛𝘆𝗽𝗲𝗿𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗠𝗮𝗿𝗸𝗲𝘁 𝗶𝘀 𝗮 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗲𝗿 𝗳𝗼𝗿 𝗖𝘆𝗯𝗲𝗿 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲

𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗙𝗥𝗘𝗘 𝗦𝗮𝗺𝗽𝗹𝗲

Hyperautomation—combining AI, machine learning, RPA, and advanced analytics—is transforming how organizations defend against evolving cyber threats. No longer reactive, security is becoming predictive, self-healing, and autonomous.

Major sectors like banking, defense, healthcare, and critical infrastructure are rapidly adopting hyperautomation tools to minimize human error and respond to threats in real-time.

𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀 : IBM Corporation, Fortinet Inc. , Broadcom, Microsoft Corporation, Splunk Inc., Palo Alto Networks, Inc., McAfee LLC and others.

𝗙𝗼𝗿 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀, 𝘁𝗵𝗶𝘀 𝗶𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘁𝗲𝗰𝗵 𝘁𝗿𝗲𝗻𝗱—𝗶𝘁’𝘀 𝗮 𝗵𝗶𝗴𝗵-𝗴𝗿𝗼𝘄𝘁𝗵 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗱𝗿𝗶𝘃𝗲𝗻 𝗯𝘆:

Growing attack surface in digital transformation

Surge in AI/ML adoption in cybersecurity

Need for zero-trust architecture & 24/7 monitoring

Enterprise shift towards automated SOC operations

Do you know which companies are already ahead of the curve? Follow the innovators driving scalable, secure, and intelligent automation platforms.

𝗔𝗰𝗰𝗲𝘀𝘀 𝗙𝘂𝗹𝗹 𝗥𝗲𝗽𝗼𝗿𝘁

𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗶𝘀 𝗵𝘆𝗽𝗲𝗿𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱. 𝗔𝗿𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀 𝗮𝗹𝗶𝗴𝗻𝗲𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗶𝘀 𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻?

[corporatetrainingblog]

What are the current trends in IT industry?

The Information Technology (IT) industry continues to evolve at an unprecedented pace, driven by rapid advancements in innovation and a global demand for smarter digital solutions. Today, businesses and professionals alike are looking to keep up with the latest tech trends, making Emerging Technology Courses more relevant than ever.

Whether you're a student, tech enthusiast, or a seasoned IT professional, understanding these trends can help you future-proof your career. Here’s a look at some of the hottest trends dominating the IT landscape in 2025 and the courses that can help you stay ahead of the curve.

1. Machine Learning (ML)

Machine Learning is the engine behind everything from recommendation engines to self-driving cars. As businesses rely more on data-driven decisions, ML skills are in high demand. Emerging Technology Courses in Machine Learning teach predictive analytics, neural networks, and real-time data processing—skills essential in today's AI-driven world.

2. Data Science

The importance of making sense of data cannot be overstated. Data Science combines statistics, programming, and domain expertise to extract insights from structured and unstructured data. Learning platforms are flooded with Emerging Technology Courses in Data Science that cover Python, R, SQL, data visualization, and big data tools like Hadoop and Spark.

3. Data Fabric

A relatively newer concept, Data Fabric provides a unified architecture that simplifies data access across cloud and on-premise systems. It enhances data visibility and management. Courses in this domain are emerging to support professionals in mastering hybrid cloud architecture and intelligent data integration.

4. Blockchain

Blockchain is revolutionizing sectors like finance, healthcare, and supply chain with its decentralized and secure structure. It’s no longer just about cryptocurrency. Emerging Technology Courses in Blockchain now focus on smart contracts, dApps (decentralized applications), and enterprise blockchain solutions.

5. Internet of Things (IoT)

From smart homes to industrial automation, IoT is expanding rapidly. IoT devices generate vast amounts of data, requiring robust infrastructure and security. Courses on IoT cover topics like embedded systems, wireless communication, sensors, and edge computing.

6. Web 3

Web 3 is the next generation of the internet, emphasizing decentralization, blockchain integration, and user ownership of data. Developers are enrolling in Emerging Technology Courses on Web 3 to learn Solidity, Ethereum, DAOs, and other decentralized technologies shaping the future of the web.

7. Hyper Automation

Hyper Automation uses AI, machine learning, and robotic process automation (RPA) to automate complex business processes. It’s gaining traction for its ability to reduce costs and increase efficiency. Courses in this field teach tools like UiPath, Blue Prism, and Python scripting for automation.

8. Cloud Computing

Cloud technology continues to be a cornerstone of digital transformation. From AWS and Azure to Google Cloud, cloud platforms are vital for scalability, remote access, and cost-effectiveness. Emerging Technology Courses in Cloud Computing cover architecture, DevOps, containerization with Kubernetes, and serverless computing.

9. Cyber Security

With increasing cyber threats, cybersecurity is more critical than ever. From ethical hacking to network security and compliance, professionals are upskilling through cybersecurity courses that include tools like Kali Linux, Wireshark, and Splunk.

[passcert]

SPLK-1003 Exam Prep & Sample Questions | Pass Splunk Enterprise Certifie...

[generativeinai]

How Is AIOps Platform Development Revolutionizing IT Operations by Integrating Data from Multiple Sources and Tools?

In today’s fast-evolving digital landscape, IT operations face unprecedented complexity. Businesses rely on a myriad of tools, platforms, and technologies — each generating vast amounts of data. Managing this data manually is no longer feasible. This is where AIOps (Artificial Intelligence for IT Operations) platform development comes in, revolutionizing how IT teams operate by integrating data from multiple sources and tools to drive smarter, faster, and more proactive decision-making.

Understanding AIOps and Its Role in IT Operations

AIOps refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance IT operations. It automates and improves how IT teams monitor, manage, and analyze their infrastructure, applications, and services. Unlike traditional IT operations management, which often relies on siloed tools and manual processes, AIOps platforms unify disparate data streams, enabling holistic insights and rapid problem resolution.

The Challenge: Fragmented IT Data Ecosystems

Modern enterprises typically use dozens, if not hundreds, of IT management tools — from monitoring, logging, ticketing, and configuration management to cloud platforms, security tools, and business applications. Each of these generates large volumes of operational data such as:

Performance metrics

Event logs

Alerts and incidents

Configuration changes

User activity and behavior patterns

This data often resides in isolated silos with inconsistent formats, making it difficult to correlate, analyze, and act upon effectively. The result? IT teams struggle with alert fatigue, slow incident resolution, and reactive firefighting, impacting business continuity and customer experience.

How AIOps Platform Development Addresses These Challenges

1. Centralized Data Integration

AIOps platforms are designed to integrate data from multiple heterogeneous sources and tools into a unified platform. They connect with existing monitoring tools (e.g., Nagios, Dynatrace), log management systems (e.g., Splunk, ELK), cloud services (e.g., AWS CloudWatch), ticketing systems (e.g., ServiceNow, Jira), and more.

Through connectors, APIs, and data ingestion pipelines, AIOps ingests structured and unstructured data in real time or near real time. This centralized aggregation breaks down silos and creates a comprehensive operational picture across the entire IT landscape.

2. Data Normalization and Contextualization

Raw data from different sources varies widely in format, terminology, and granularity. AIOps platforms normalize this data by converting it into standardized formats and enriching it with contextual metadata.

For example, an alert from a cloud monitoring tool can be correlated with a recent configuration change from the CMDB (Configuration Management Database) and ticket history from the ITSM system. This contextualization allows the AIOps engine to better understand the relationships between events and systems, enhancing root cause analysis.

3. Advanced Analytics and Machine Learning

Once the data is integrated and normalized, AIOps platforms apply advanced analytics and machine learning models to identify patterns, anomalies, and correlations that humans cannot easily detect.

Capabilities include:

Anomaly detection: Spotting unusual behavior or performance degradation proactively.

Noise reduction: Filtering out false positives and repetitive alerts to reduce alert fatigue.

Event correlation: Linking related events across systems to identify the underlying root cause.

Predictive analytics: Forecasting potential issues before they impact users.

Automated remediation: Triggering self-healing workflows for common incidents.

4. Unified Dashboards and Visualization

AIOps platforms provide IT teams with consolidated dashboards that visualize integrated data insights across all tools and environments. These dashboards offer real-time situational awareness and actionable intelligence that supports faster decision-making.

Business Benefits of Integrating Data through AIOps

Faster Incident Detection and Resolution

With holistic visibility and AI-driven insights, IT teams can detect incidents early, understand their impact, and resolve them rapidly — minimizing downtime and customer impact.

Improved Operational Efficiency

By automating manual tasks such as alert triaging, root cause analysis, and remediation, AIOps platforms free up valuable human resources to focus on strategic initiatives.

Enhanced Collaboration Across Teams

Integrated data and shared dashboards promote collaboration among different IT functions (network, security, DevOps), breaking down organizational silos.

Cost Optimization

Proactive issue management and resource optimization reduce operational costs related to outages, overprovisioning, and inefficient processes.

Real-World Examples of AIOps Data Integration

Hybrid Cloud Management: Integrating data from on-premises infrastructure and public cloud providers to deliver unified operations and governance.

DevOps Pipeline Monitoring: Correlating code commits, CI/CD tool outputs, and production monitoring to quickly identify deployment-related failures.

Security Incident Response: Combining logs and alerts from security tools with infrastructure monitoring to speed up threat detection and mitigation.

Key Considerations in AIOps Platform Development

Scalability: Ability to handle massive data volumes and diverse data types.

Flexibility: Support for integrating a wide range of existing IT tools and environments.

Data Privacy and Security: Ensuring compliance with organizational and regulatory standards.

User Experience: Intuitive interfaces that empower IT teams without requiring deep data science expertise.

Continuous Learning: ML models must evolve with changing environments and data patterns.

Conclusion

AIOps platform development is transforming IT operations by integrating and harmonizing data from multiple sources and tools. This integration creates a unified operational view, enhanced by AI-powered analytics that drive faster, smarter, and more automated IT management. Organizations adopting AIOps gain significant competitive advantages through improved uptime, operational efficiency, and business agility in today’s complex digital ecosystems.

If you are looking to streamline your IT operations and unlock the power of AIOps, partnering with experienced AIOps platform developers can accelerate your journey to a truly intelligent, data-driven IT organization.

[aitoolswhitehattoolbox]

Security Engineer

DescriptionSplunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it’s our caring employees that make Splunk stand out as an amazing…

[infernovm]

Cisco automates AI-driven security across enterprise networks

Cisco today announced a range of AI-driven security enhancements, including improved threat detection and response capabilities in Cisco XDR and Splunk Security, new AI agents, and integration between Cisco’s AI Defense platform and ServiceNow SecOps. In addition, Cisco launched a new group called Foundation AI to focus on advancing AI and security technologies within the company and across the…

[cybersecurityict]

Big Data Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: How SMEs Are Leveraging Big Data for Competitive Edge

The Big Data Market was valued at USD 325.4 Billion in 2023 and is expected to reach USD 1035.2 Billion by 2032, growing at a CAGR of 13.74% from 2024-2032.

Big Data Market is expanding at a rapid pace as organizations increasingly depend on data-driven strategies to fuel innovation, enhance customer experiences, and streamline operations. Across sectors such as finance, healthcare, retail, and manufacturing, big data technologies are being leveraged to make real-time decisions and predict future trends with greater accuracy.

U.S. Enterprises Double Down on Big Data Investments Amid AI Surge

Big Data Market is transforming how businesses across the USA and Europe extract value from their information assets. With the rise of cloud computing, AI, and advanced analytics, enterprises are turning raw data into strategic insights, gaining competitive advantage and optimizing resources at scale.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2817 

Market Keyplayers:

IBM

Microsoft

Oracle

SAP

Amazon Web Services

Google

Cloudera

Teradata

Hadoop

Splunk

SAS

Snowflake

Market Analysis

The Big Data Market is witnessing robust growth fueled by the explosion of unstructured and structured data from IoT devices, digital platforms, and enterprise systems. Companies are moving beyond traditional data warehouses to adopt scalable, cloud-native analytics platforms. While the U.S. remains the innovation leader due to early adoption and tech maturity, Europe is growing steadily, aided by strict data privacy laws and the EU’s push for digital sovereignty.

Market Trends

Surge in demand for real-time analytics and data visualization tools

Integration of AI and machine learning in data processing

Rise of Data-as-a-Service (DaaS) and cloud-based data platforms

Greater focus on data governance and compliance (e.g., GDPR)

Edge computing driving faster, localized data analysis

Industry-specific big data solutions (e.g., healthcare, finance)

Democratization of data access through self-service BI tools

Market Scope

The Big Data Market is evolving into a cornerstone of digital transformation, enabling predictive and prescriptive insights that influence every business layer. Its expanding scope covers diverse use cases and advanced technology stacks.

Predictive analytics driving strategic decision-making

Real-time dashboards improving operational agility

Cross-platform data integration ensuring end-to-end visibility

Cloud-based ecosystems offering scalability and flexibility

Data lakes supporting large-scale unstructured data storage

Cybersecurity integration to protect data pipelines

Personalized marketing and customer profiling tools

Forecast Outlook

The Big Data Market is on an upward trajectory with growing investments in AI, IoT, and 5G technologies. As the volume, velocity, and variety of data continue to surge, organizations are prioritizing robust data architectures and agile analytics frameworks. In the USA, innovation will drive market maturity, while in Europe, compliance and ethical data use will shape the landscape. Future progress will center on building data-first cultures and unlocking business value with advanced intelligence layers.

Access Complete Report: https://www.snsinsider.com/reports/big-data-market-2817 

Conclusion

From predictive maintenance in German factories to real-time financial insights in Silicon Valley, the Big Data Market is redefining what it means to be competitive in a digital world. Organizations that harness the power of data today will shape the industries of tomorrow. The momentum is clear—big data is no longer a back-end tool, it's a front-line business driver.

Related Reports:

Discover trends shaping the digital farming industry across the United States

Explore top data pipeline tools driving the US market growth

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[govindhtech]

DTD App: Dell PC Telemetry Secures BIOS Integrity Monitoring

Discover how Dell's DTD App protects BIOS with enhanced telemetry and tamper detection.

Never before has corporate security been more important. Due to the exponential growth of cyber threats, IT decision-makers must safeguard their PC fleets while retaining operational efficiency. Research indicating that 69% of organisations suffered a BIOS- or device-level assault shows that endpoint security goes beyond software measures. Dell corporate AI PCs reinvent device security and management.

Dell Trusted Workspace, Dell's endpoint security suite, provides IT administrators with BIOS-level intelligence and novel telemetry to forecast, recognise, and respond to attacks at the device level. Dell solutions can increase fleet security and save time and effort through automation. Check out why Dell leads the safest business AI PC market.

Complexity of Enterprise Security

IT administrators face an increasingly complex environment. Given the variety of security and device management capabilities, IT and security teams may meet fragmented solutions that lack compatibility, delay coordinated action, and need human coordination to communicate. Their IT environments may grow more insecure, placing their organisations at risk of security breaches. Since attackers are now targeting regions below the operating system (OS) layer, where endpoint detection technologies often fail to provide visibility into BIOS and firmware-level activities, the dangers have increased.

Dell Trusted Device (DTD) software and PC telemetry help here. These technologies may assist organisations improve IT security.

How Dell PC Telemetry Works?

Dell's below-the-OS security relies on telemetry. Adding BIOS capabilities to a secure, centralised monitoring ecosystem increases security and management. Importantly, Dell PC telemetry and the DTD app compare BIOS and firmware to the known good using a variety of tamper detections to verify system integrity:

Real-time tamper detection: Use Indicators of Attack (IoA), a tool that lets managers review events that may indicate hostile actors assaulting corporate endpoint BIOS, to detect BIOS alterations and strange behaviour early.

Use CVE Detection, CVE Remediation, and off-host BIOS Verification to accurately patch vulnerabilities and recover from attacks.

Avoidance: Image Capture helps SOCs understand assaults and identify holes to strengthen defences.

Connect to current tools: Integrate Dell's integrated telemetry into Splunk, Microsoft Intune, CrowdStrike, and Absolute for fleet-wide information.

Hardware-software collaboration makes your fleet smarter, faster, and more efficient.

Enhance processes with below-the-OS telemetry now

Tracking a fleet of devices should be easy. It aims to solve Dell customers' IT and security issues! New methods to fulfil that pledge today:

AMD and Intel-powered commercial systems may now employ Dell's increased security and telemetry. More insight into your diverse fleet and assurance that you're using the safest commercial AI PCs will result from this capability.

Dell Client Device Manager (DCDM) integrates controlled environment monitoring: Managed workplaces will benefit from DTD app's simplified PC security. To Dell's DCDM launch. ITDMs may use the DCDM Security Module to get all of DTD's benefits and the latest features. The latest Dell telemetry features allow Microsoft Intune administrators to create and deploy fleet-wide security rules for seamless, end-to-end coverage without leaving Intune.

DCDM's Security Module now automates firmware-level and BIOS CVE remediation for fast upgrades. DCDM Security is the only module with this innovative, industry-leading capabilities. Dell Command | Update gives unmanaged environments using the DTD app access to all current features, including CVE D CVE Detection for Firmware.

Increase the value of your tech investments

Hackers can enter your fleet using any device. Dell's BIOS-level insight and PC telemetry simplify fleet management and help your firm discover, mitigate, and avoid cyber threats.

Do something proactive today:

Learn More: Download the infographic on Dell PC telemetry and integrated security.

Talk to Us: Email us to organise a meeting with a Dell specialist to discuss how these features can suit your company needs.

Use Dell, the world's most secure business AI PCs, when upgrading your commercial PC fleet to boost cyber resistance.

Update Dell fleet management safely while maintaining device confidence. Because in today's quickly shifting threat world, less is not acceptable.

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Customer Experience Analytics Market Report 2032: Size, Share, Scope, Analysis, and Growth Overview

The Customer Experience Analytics Market was valued at USD 12.43 billion in 2023 and is expected to reach USD 42.29 billion by 2032, growing at a CAGR of 14.61% over the forecast period 2024-2032.

customer experience (CX) as a key differentiator, leading to a surge in demand for customer experience analytics. These analytics tools help organizations gather, interpret, and act upon customer data to enhance satisfaction, retention, and overall engagement. As companies embrace digital transformation, the ability to capture insights across multiple customer touchpoints—from social media and mobile apps to contact centers and websites—has become essential for gaining a competitive edge.

Customer Experience Analytics Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 reveals that the market is experiencing robust growth due to the rising need for personalized customer interactions, real-time feedback systems, and performance measurement tools. Organizations across industries, including retail, banking, healthcare, telecom, and e-commerce, are turning to advanced analytics platforms powered by AI, machine learning, and natural language processing to better understand customer sentiment, preferences, and behaviors.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5507 

Market Keyplayers:

Alteryx (Alteryx Designer, Alteryx Server)

SAS (SAS Viya, SAS Customer Intelligence)

Qlik (Qlik Sense, QlikView)

Splunk (Splunk Enterprise, Splunk Cloud)

Teradata (Teradata Vantage, Teradata IntelliCloud)

MicroStrategy (MicroStrategy Analytics, MicroStrategy Cloud)

Domo (Domo Business Cloud, Domo Data Science)

Sisense (Sisense Fusion, Sisense for Cloud Data Teams)

ThoughtSpot (ThoughtSpot Analytics, ThoughtSpot Cloud)

Tableau (Tableau Desktop, Tableau Server)

Microsoft Power BI (Power BI Desktop, Power BI Pro)

Salesforce (Salesforce Service Cloud, Salesforce Marketing Cloud)

Zendesk (Zendesk Support, Zendesk Chat)

HubSpot (HubSpot Service Hub, HubSpot Marketing Hub)

Freshworks (Freshdesk, Freshchat)

Zoho (Zoho Analytics, Zoho CRM)

Oracle (Oracle CX Cloud, Oracle Service Cloud)

Adobe (Adobe Experience Cloud, Adobe Analytics)

IBM (IBM Watson Analytics, IBM Customer Experience Analytics)

SAP (SAP Customer Experience, SAP Analytics Cloud)

Trends

Several trends are shaping the customer experience analytics market, reflecting a broader shift toward digital-first engagement and intelligent automation.

AI and Machine Learning Integration: The use of AI-powered analytics is becoming mainstream, enabling predictive modeling, customer segmentation, and automated insights that help businesses tailor experiences to individual users.

Omnichannel Experience Monitoring: Companies are moving toward a unified view of customer interactions across channels. Tools that consolidate data from email, chat, phone calls, and in-person interactions into a single dashboard are gaining traction.

Sentiment and Emotion Analysis: Advanced text and speech analytics can now detect not just what customers say, but how they feel, giving brands deeper insights into emotional drivers behind customer behavior.

Cloud-Based Solutions: The adoption of cloud-based platforms is rising due to their scalability, lower operational costs, and ability to deliver insights in real-time. This has become particularly important in remote and hybrid work environments.

Data Privacy and Compliance: With global regulations such as GDPR and CCPA, analytics platforms are focusing on privacy-first designs that ensure data is collected and used responsibly, building trust with customers.

Enquiry of This Report: https://www.snsinsider.com/enquiry/5507 

Market Segmentation:

By Touch Point

Company Website

Branch

Call Center

Web

By Solution

Data Management

Social Media Analytical Tools

Voice Of Customer

Web Analytical Tools

Dashboard & Reporting

By Industry Vertical

BFSI

Healthcare

Manufacturing

IT Communication Service Provider

Travel & Hospitality

Market Analysis

North America currently holds the largest market share due to its early adoption of advanced digital technologies and a strong presence of leading analytics solution providers. Europe and Asia-Pacific are also witnessing significant growth, driven by increasing digital penetration, rising customer expectations, and expanding e-commerce sectors.

Key players in the market are focusing on strategic partnerships, acquisitions, and product innovations to enhance their analytics capabilities. Investments in AI and big data infrastructure are enabling companies to scale their analytics functions and improve decision-making. The market is highly competitive, with companies like Adobe, Salesforce, IBM, Oracle, and NICE Ltd. playing dominant roles by offering comprehensive CX analytics suites.

Despite the strong growth trajectory, challenges such as data integration complexities, skills shortages, and the need for real-time analysis across large data volumes remain. However, organizations are increasingly overcoming these hurdles through automation, cloud infrastructure, and vendor support.

Future Prospects

The future of the customer experience analytics market looks promising, with ongoing advancements in technology expected to unlock even deeper customer insights.

Hyper-Personalization at Scale: As analytics tools become more sophisticated, businesses will be able to deliver hyper-personalized experiences across customer journeys, significantly improving engagement and conversion rates.

Real-Time Decision Engines: Integration with CRM and marketing automation platforms will allow for on-the-fly adjustments to customer interactions based on evolving behavior and context.

Voice of the Customer (VoC) Expansion: VoC programs will evolve with more emphasis on integrating structured and unstructured data, providing a holistic view of customer sentiment across all touchpoints.

Self-Service and Democratization of Analytics: As platforms become more user-friendly, non-technical teams like marketing, customer service, and product development will be able to access and act on analytics insights directly, speeding up the response cycle.

Growing Use of Predictive and Prescriptive Analytics: Moving beyond descriptive metrics, companies will increasingly rely on analytics tools that not only tell them what happened and why, but also what to do next.

Access Complete Report: https://www.snsinsider.com/reports/customer-experience-analytics-market-5507 

Conclusion

The customer experience analytics market is entering a new phase of innovation and adoption, driven by the need for data-driven decision-making and elevated customer expectations. As businesses continue to prioritize customer-centric strategies, investment in advanced analytics solutions will be critical to delivering personalized, meaningful, and seamless experiences.

With the integration of AI, cloud computing, and real-time data processing, the market is set to evolve rapidly over the next decade. Companies that embrace these tools and align them with their broader CX goals will not only enhance customer loyalty but also unlock substantial business value in an increasingly competitive digital landscape.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

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The Role of Managed IT Services in Cybersecurity & Cloud-Managed IT Services

Let’s be honest—cyber threats aren’t just the stuff of action movies. Your business isn't fighting off rogue hackers in hoodies from dimly lit basements (or maybe it is, who knows?). In reality, cyber threats are stealthier, smarter, and more relentless than ever.

Enter Managed IT Services—your digital bodyguards, working behind the scenes to keep your data safe. And when it comes to cloud-managed IT? It’s like giving your business a VIP pass to efficiency, scalability, and airtight security.

Let’s break it down—with the technical muscle to back it up.

1. The Role of Managed IT Services in Cybersecurity: Protecting Your Digital Assets

Cyber threats like ransomware, phishing, and insider attacks are relentless. Managed IT Services act as your 24/7 security command center, blending cutting-edge tools and frameworks to outsmart threats.

1.1 Advanced Security Operations Center (SOC): The Nerve Center

SIEM (Security Information and Event Management): Aggregates logs from firewalls, cloud apps, and endpoints to detect anomalies in real time. For example, SIEM tools like Splunk or LogRhythm correlate login attempts across systems to flag brute-force attacks.

SOAR (Security Orchestration, Automation, and Response): Automates threat containment, slashing response times. Imagine automatically isolating a compromised server before ransomware spreads.

XDR (Extended Detection and Response): Unified visibility across networks, endpoints, and cloud environments. XDR platforms like CrowdStrike Falcon uncover hidden threats in multi-cloud setups.

Threat Intelligence Feeds: Constantly updated feeds track new malware variants, vulnerabilities, and cybercrime tactics, allowing preemptive defense strategies.

1.2 Zero Trust Architecture (ZTA): No More Blind Trust

Micro-Segmentation: Limits lateral movement by isolating network segments. For instance, separating finance data from general employee access.

MFA & IAM: Multi-factor authentication and role-based access ensure only verified users get in. Tools like Okta enforce least-privilege access.

EDR (Endpoint Detection and Response): Monitors endpoints for behavioral anomalies, such as unusual file encryption patterns signaling ransomware.

Continuous Authentication: AI-driven authentication models assess user behavior dynamically, reducing risks of credential-based attacks.

1.3 AI-Driven Threat Detection: Outsmarting Attackers

UEBA (User and Entity Behavior Analytics): Uses machine learning to flag suspicious activity (e.g., Dave in accounting suddenly accessing sensitive files at 3 AM).

Predictive Analytics: Anticipates attack vectors using historical data. For example, identifying phishing campaigns targeting your industry.

Deep Learning-Based Malware Detection: Identifies previously unknown threats by analyzing patterns and behaviors rather than signatures.

1.4 Compliance Frameworks: Building a Regulatory Fortress

Managed IT Services align with frameworks like:

NIST Cybersecurity Framework (CSF): Risk-based strategies for identifying, protecting, and recovering from threats.

MITRE ATT&CK: Simulates real-world attacks to harden defenses. Red team exercises mimic APT groups like Lazarus.

CIS Controls: Automates audits for critical safeguards like data encryption and access controls.

ISO 27001 & GDPR Compliance: Ensures global security standards are met.

Case Study: A healthcare client reduced HIPAA violation risks by 80% through encrypted EHR systems and quarterly audits.

2. Cloud-Managed IT Services: Efficiency Meets Enterprise-Grade Security

Imagine an IT team that never sleeps, scales on demand, and cuts costs—all while securing your data. That’s cloud-managed IT.

2.1 Cloud Security Posture Management (CSPM)

Scans for misconfigured storage buckets (e.g., exposed AWS S3 instances). Tools like Palo Alto Prisma Cloud auto-remediate gaps.

Monitors IAM permissions to prevent overprivileged access. For example, revoking admin rights for temporary contractors.

Automated Compliance Audits: Ensures cloud environments align with regulatory policies.

2.2 Secure Access Service Edge (SASE)

Integrates Zero Trust with cloud-delivered security:

CASB (Cloud Access Security Broker): Secures SaaS apps like Office 365.

SWG (Secure Web Gateway): Blocks malicious URLs in real time.

FWaaS (Firewall as a Service): Replaces legacy hardware with scalable cloud firewalls.

ZTNA (Zero Trust Network Access): Prevents unauthorized access through software-defined perimeters.

2.3 Disaster Recovery as a Service (DRaaS)

Immutable Backups: Unalterable backups ensure data integrity. Veeam and Rubrik prevent ransomware from corrupting backups.

Multi-Region Failover: Keeps businesses running during outages. A retail client maintained uptime during an AWS outage by failing over to Azure.

Automated Recovery Testing: Regular tests ensure recovery strategies remain effective.

2.4 Cost Savings & Flexibility

Pay-as-you-go: Only pay for the cloud resources you use. Startups save 40% compared to on-premise setups.

Infrastructure as Code (IaC): Automates deployments using Terraform or AWS CloudFormation, reducing human error.

Statistic: Gartner predicts 60% of enterprises will use cloud-managed services by 2025 for cost and agility benefits.

Resource Optimization Strategies: AI-driven cloud cost optimization minimizes wasteful spending.

3. Incident Response and Disaster Recovery: When Seconds Matter

3.1 Automated Incident Response

Prebuilt Playbooks: For ransomware, isolate infected devices and trigger backups. For DDoS, reroute traffic via CDNs like Cloudflare.

Threat Containment: Automated network isolation of compromised assets. A financial firm contained a breach in 12 minutes vs. 4 hours manually.

AI-Based Incident Prediction: Uses past incidents to anticipate and mitigate future threats proactively.

3.2 Next-Gen Firewalls (NGFW)

Deep Packet Inspection (DPI): Uncovers hidden malware in encrypted traffic.

Behavioral Analytics: Detects zero-day exploits by analyzing traffic patterns.

Deception Technology: Uses decoy systems to detect attackers before they reach critical systems.

3.3 Digital Forensics and Threat Hunting

Malware Analysis: Reverse-engineers ransomware to identify kill switches.

Proactive Hunting: Combines AI alerts with human expertise. One MSP uncovered a dormant APT group during a routine hunt.

Blockchain-Based Security Logging: Ensures forensic logs remain immutable and tamper-proof.

4. Choosing the Right Managed IT Service Provider

4.1 Key Evaluation Criteria

Expertise in Frameworks: Look for NIST, ISO 27001, or CIS certifications.

24/7 Support: Ensure SOC teams operate in shifts for round-the-clock coverage.

Industry Experience: Healthcare providers need HIPAA experts; fintechs require PCI DSS mastery.

Customization Capabilities: Managed IT should be tailored to unique business needs.

4.2 In-House vs. Managed Services: A Cost Comparison

Mid-Sized Business Example:

In-House: $200k/year for salaries, tools, and training.

Managed Services: $90k/year with predictable pricing and no overhead.

5. Conclusion: Future-Proof Your Business

Cyber threats evolve, but so do Managed IT Services. With AI, Zero Trust, and cloud agility, businesses can stay ahead of attackers.

At Hardwin Software Solutions, we merge 24/7 SOC vigilance, compliance expertise, and scalable cloud solutions to shield your business.

📞 Contact us today—because cybercriminals don’t wait, and neither should you.

FAQs : 

1. How long does it take to onboard Managed IT Services, and when will we see results?

Onboarding: Typically 2–4 weeks, depending on infrastructure complexity. This includes risk assessments, tool integration (e.g., SIEM, XDR), and policy alignment.

Results: Proactive threat detection begins immediately, but full optimization (e.g., AI-driven threat modeling, Zero Trust implementation) takes 60–90 days.

2. Can Managed IT Services integrate with our legacy systems, or do we need a full infrastructure overhaul?

Yes! Managed IT providers use hybrid frameworks to secure legacy systems:

API-based integrations for outdated software.

Network segmentation to isolate legacy systems from modern attack surfaces.

Virtual patching to shield unpatched legacy apps from exploits.

3. How do you defend against AI-powered cyberattacks, like deepfake phishing or adaptive malware?

We counter AI-driven threats with:

Behavioral AI models: Detect anomalies in communication patterns (e.g., deepfake voice calls).

Adversarial Machine Learning: Trains defense systems to recognize AI-generated attack patterns.

Threat Hunting Teams: Human experts validate AI alerts to avoid false positives.

4. Do you offer industry-specific compliance solutions beyond HIPAA and GDPR (e.g., CMMC for defense contractors)?

Absolutely. We tailor compliance to your sector:

CMMC for defense contractors.

PCI DSS for payment processors.

FERPA for education.

Custom audits and controls to meet frameworks like NERC CIP (energy) or ISO 27701 (privacy).

5. How do you measure the ROI of Managed IT Services for stakeholders?

We quantify ROI through:

MTTD/MTTR Reductions: Track mean time to detect/respond to incidents (e.g., 30% faster threat neutralization).

Downtime Costs: Calculate savings from preventing outages (e.g., $10K/minute saved for e-commerce).

Compliance Penalty Avoidance: Estimate fines dodged via audit-ready systems.

Productivity Metrics: Reduced IT ticket volume (e.g., 50% fewer disruptions).