The use of this site and the content contained therein is governed by the Terms of Use. When you use this site you acknowledge that you have read the Terms of Use and that you accept and will be bound by the terms hereof and such terms as may be modified from time to time.
All text, graphics, audio, design and other works on the site are the copyrighted works of nasscom unless otherwise indicated. All rights reserved.
Content on the site is for personal use only and may be downloaded provided the material is kept intact and there is no violation of the copyrights, trademarks, and other proprietary rights. Any alteration of the material or use of the material contained in the site for any other purpose is a violation of the copyright of nasscom and / or its affiliates or associates or of its third-party information providers. This material cannot be copied, reproduced, republished, uploaded, posted, transmitted or distributed in any way for non-personal use without obtaining the prior permission from nasscom.
The nasscom Members login is for the reference of only registered nasscom Member Companies.
nasscom reserves the right to modify the terms of use of any service without any liability. nasscom reserves the right to take all measures necessary to prevent access to any service or termination of service if the terms of use are not complied with or are contravened or there is any violation of copyright, trademark or other proprietary right.
From time to time nasscom may supplement these terms of use with additional terms pertaining to specific content (additional terms). Such additional terms are hereby incorporated by reference into these Terms of Use.
Disclaimer
The Company information provided on the nasscom web site is as per data collected by companies. nasscom is not liable on the authenticity of such data.
nasscom has exercised due diligence in checking the correctness and authenticity of the information contained in the site, but nasscom or any of its affiliates or associates or employees shall not be in any way responsible for any loss or damage that may arise to any person from any inadvertent error in the information contained in this site. The information from or through this site is provided "as is" and all warranties express or implied of any kind, regarding any matter pertaining to any service or channel, including without limitation the implied warranties of merchantability, fitness for a particular purpose, and non-infringement are disclaimed. nasscom and its affiliates and associates shall not be liable, at any time, for any failure of performance, error, omission, interruption, deletion, defect, delay in operation or transmission, computer virus, communications line failure, theft or destruction or unauthorised access to, alteration of, or use of information contained on the site. No representations, warranties or guarantees whatsoever are made as to the accuracy, adequacy, reliability, completeness, suitability or applicability of the information to a particular situation.
nasscom or its affiliates or associates or its employees do not provide any judgments or warranty in respect of the authenticity or correctness of the content of other services or sites to which links are provided. A link to another service or site is not an endorsement of any products or services on such site or the site.
The content provided is for information purposes alone and does not substitute for specific advice whether investment, legal, taxation or otherwise. nasscom disclaims all liability for damages caused by use of content on the site.
All responsibility and liability for any damages caused by downloading of any data is disclaimed.
nasscom reserves the right to modify, suspend / cancel, or discontinue any or all sections, or service at any time without notice.
For any grievances under the Information Technology Act 2000, please get in touch with Grievance Officer, Mr. Anirban Mandal at data-query@nasscom.in.
Data breaches are a constant threat in today’s digital age. Whether it’s a cyber attack by sophisticated hackers or an innocent mistake made by an employee, the consequences of a data breach can be devastating. According to the World Economic Forum’s 2022 Global Risks Report, 95% of cybersecurity threats are linked to human error. And according to the 2022 Data Breach Investigations Report (DBIR), a whopping 82% of data breaches were caused by human error, social attacks, or misuse. Similar research by IBM Security puts the number at 95%.
In this scenario, organizations are turning to data automation tools to enhance their cybersecurity measures. Data automation can streamline and simplify several security processes, including threat detection and response, access control, and data encryption. In this blog, we will explore how data automation can help prevent cyber breaches and protect your organization’s critical assets from external threats.
What is Data Automation?
Data automation refers to the process of automatically collecting, processing, and transforming data through software tools and algorithms without human intervention. It involves using technology to streamline and simplify data-related tasks, such as data entry, data extraction, data analysis, and data visualization. Its inception can be traced back to the early days of computing, when businesses began using computers to process and store data. In the 1950s and 1960s, mainframe computers were used to automate data processing tasks, such as payroll processing and inventory management. However, these early systems were expensive and required specialized expertise to operate. Fast forward to the 1970s and 1980s, when the introduction of personal computers and software applications made data automation more accessible and affordable. This allowed businesses to automate data-related tasks with ease, thanks to programs such as VisiCalc and Lotus 1-2-3, which enabled users to manipulate and analyze data in real-time. Additionally, database management systems like Oracle and Microsoft Access allowed businesses to store and retrieve large volumes of data, making data automation even more exciting!
The internet and the proliferation of digital devices in the 1990s and 2000s brought about even more excitement in the data automation world. The rise of e-commerce and online marketing created a demand for tools that could process and analyze large amounts of data. Web analytics platforms and customer relationship management systems became essential in meeting this demand. Fast forward to recent years, and the growth of cloud computing and artificial intelligence has expanded the capabilities of data automation even further. Businesses can now automate more complex tasks and gain deeper insights into their data, making it easier and faster to generate insights and make informed decisions.
Today, data automation is an integral part of many businesses’ operations, from small startups to large multinational corporations. It has revolutionized the way businesses process and analyze data, making data-driven decision-making faster, more efficient, and more exciting than ever before! With the continued advancements in technology and the growing demand for data-driven decision-making, data automation is set to play a significant role in shaping the future of business and technology.
Data automation is also becoming an essential tool for businesses seeking to enhance their data security and reduce the risk of cybercrime. Automated processes can help organizations identify and isolate sensitive data, such as personally identifiable information (PII) and protected health information (PHI), to better protect against potential threats. Metadata and context analytics are two key components of data automation that can help identify and classify sensitive data based on its meaning and context.
Metadata refers to information that provides context about a given piece of data. For example, metadata might include the date and time a file was created or modified, the name of the person who created it, and other relevant details. By using automated tools to analyze metadata, businesses can gain insight into the nature of their data and identify potential vulnerabilities. This can help organizations to isolate sensitive data and apply remediation measures, such as data quarantining, access control, and audit.
Context analytics, meanwhile, involves the use of machine learning algorithms and other advanced technologies to analyze large volumes of data and identify patterns and relationships between different pieces of information. This can help organizations to classify data based on its meaning and context, making it easier to identify sensitive information such as PII and PHI. Once sensitive data is identified, context analytics can help organizations to apply appropriate remediation measures, such as data quarantining, access control, and audit.
Data quarantining involves isolating sensitive data from the rest of the organization’s data to prevent unauthorized access. This can be achieved through the use of automated tools that can identify and segregate sensitive data based on its context and use.
Access control refers to the use of automated tools to manage user access to sensitive data and restrict access to sensitive data based on user roles and permissions.
Audit refers to the use of automated tools to monitor user activity and identify potential security breaches. Audit logs can be used to track user access to sensitive data and detect potential threats, such as unauthorized access or data theft. These logs can be used to generate alerts or notifications that can be used to prompt further investigation or remediation.
However, before automating any task, one must understand its granularities and components. Let’s examine the various components of data lifecycle management and how automation can help.
Data automation can help reduce cyber risk and enhance data protection by automating several of these processes. Here are some examples of how
Will Data Automation be Enough to Keep Our Sensitive Information Safe?
While data automation is a powerful tool for preventing data breaches caused by human error, it is not a silver bullet. Even with the best automation tools in place, there is still the risk of human error. As such, businesses need a comprehensive data security plan that includes training employees on proper data handling procedures, implementing strict access controls, and regularly monitoring systems for potential security threats.
Moreover, cybercriminals are becoming increasingly sophisticated in their methods, making it even more difficult to protect sensitive information. Therefore, businesses must remain vigilant and adapt to changing security threats. While data automation can help reduce the risk of data breaches caused by human error, it is only one piece of the puzzle. A comprehensive approach to data security is essential to keep sensitive information safe.
A unified unstructured data management platform can play a crucial role in data automation. It refers to the practice of bringing all the data scattered across different sources and formats under a single roof, making it easily accessible, searchable and manageable. By adopting this approach, organizations can automate various data-related tasks, such as data ingestion, transformation, processing, and analysis. The approach eliminates the need for multiple vendors and software, preventing unnecessary visibility into the enterprise data estate. With a single pane view of the entire enterprise data estate, businesses can gain a comprehensive understanding of their data landscape, thereby enabling them to make informed decisions, reduce redundancy, and optimize their operations. Moreover, by leveraging advanced analytics and machine learning algorithms, unified unstructured data management can help detect anomalies and suspicious activities in real-time, reducing the chances of cyber breaches and data loss. In today’s data-driven world, adopting a unified unstructured data management approach is no longer an option but a necessity for businesses to stay competitive and secure.
That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.
Globally, aid organizations and development agencies play an essential role in improving people's lives. However, coordinating and managing aid programs can be a challenging task involving a large amount of data. The challenges compound if you…
From the apps we use to the businesses we interact with, data plays a pivotal role in shaping our experiences. Managing this vast amount of information effectively is crucial. It paves the way to smooth operations and helps in gaining insights and…
In the era of big data, the concept of data lakes emerged as a promising solution to store vast amounts of raw data, irrespective of its structure. Data lakes, often contrasted with traditional databases, offer flexibility and scalability, allowing…
Data engineering plays a pivotal role in transforming raw data into valuable insights, but the journey from data acquisition to analysis is not without challenges. One of the key challenges is ensuring the quality, integrity, and security of the…
In the world of Artificial Intelligence (AI) and Machine Learning (ML), the foundation lies in data—the quality, accuracy, and depth of which directly impacts the learning and decision-making abilities of AI systems. Data annotation services that…
Amid rapid technological disruption and a climate of uncertainty, enterprises face the importance of re-evaluating the technology trends that will define 2024. The ever-evolving digital landscape prompts IT leaders to consider its far-reaching…
