Tag: Data Protection

The holiday season is just around the corner, bringing with it Black Friday, the year’s largest shopping event. While this period offers exciting opportunities for both retailers and shoppers, it also brings increased risks. Shoppers eagerly anticipate discounts, but hackers and fraudsters see the surge in online and in-store traffic as an opportunity to strike. Blockchain technology, initially developed for cryptocurrency, is now becoming a powerful tool for improving security in various sectors, including retail. With retailers and payment processors turning to blockchain, they aim to protect customer information and quickly detect and block fraudulent activities during Black Friday sales.

When the volume of transactions skyrockets, cybercriminals target both online platforms and physical stores. In 2023, Adobe reported that consumers spent $9.2 billion on Black Friday, and the figure is expected to rise this year. As online shopping continues to grow faster than in-store purchases, the need for a more secure framework becomes even more urgent, especially to counter threats like payment fraud, phishing, and identity theft.

How Blockchain Ensures Secure Shopping on Black Friday

Blockchain technology offers a decentralized, tamper-resistant ledger that transforms how transactions are handled. Unlike traditional databases with centralized servers, blockchain records data across multiple nodes, making it much harder for hackers to manipulate. This innovation is already strengthening security for Black Friday shopping in several ways:

Decentralized Data Protection

Traditional online retailers store customer data in centralized systems, which are vulnerable to breaches. In contrast, blockchain distributes transaction records across a network of nodes. This decentralized model ensures that even if one node is compromised, customer information remains secure across the network, reducing the risk of large-scale data theft.

Enhanced Payment Security

Blockchain-based payment platforms provide an extra layer of security through mechanisms like “proof of work” or “proof of stake,” which authenticate transactions and prevent double-spending. These systems make it extremely difficult for unauthorized parties to alter transactions or engage in fraudulent activities. Retailers and financial institutions are increasingly adopting blockchain to ensure faster, more secure payments that cannot be reversed fraudulently.

Transparent Records to Prevent Fraud

Blockchain’s transparent structure makes it a powerful tool against fraud. Each transaction is verified and recorded by multiple participants on the network, ensuring that tampering attempts are quickly detected. This is especially useful against chargeback fraud, where a customer disputes a legitimate purchase to claim a refund. With blockchain, every transaction’s full history is readily available, making it easy to spot and address fraudulent behavior.

To Know More, Read Full Article @ https://ai-techpark.com/black-friday-shopping-security/

Related Articles -

Top Five Software Engineering Certification

Evolution of Lakehouse Architecture

Trending Category - AI Identity and access management

Artificial intelligence (AI) is a relatively new field that has rapidly evolved into a major influence on the strategic direction of organizations. Its significance extends far beyond automation, enhancing complex decision-making processes. AI is both a risk and a tool for managing risk—a paradox that organizations must confront as they navigate the landscape of 2024 and beyond.

AI as a Catalyst for Transformation

While AI is often associated with task automation, it also plays a critical role in improving decision-making. AI empowers change across various domains, from social to informational, by automating time-consuming processes and driving efficiency. Additionally, AI offers deeper insights to management teams than ever before.

In finance, for example, AI models outperform traditional methods by evaluating a broader set of factors to assess credit risk, predict market trends, detect fraud, and identify optimal investments. Similarly, in healthcare, AI enables early diagnosis and increases diagnostic accuracy, transforming how medical treatments are managed. These examples demonstrate that AI not only mitigates risks but also reshapes operational behavior, opening new avenues for efficiency and effectiveness.

Machine Learning’s Role in Enterprise Risk Management

Machine learning—one of the most crucial AI fields—plays a vital role in Enterprise Risk Management (ERM). By learning from data and detecting patterns beyond human observation, machine learning is particularly useful in industries like cybersecurity, where threats are constantly evolving. AI systems also monitor network activities in real-time, providing alerts for suspicious events to prevent breaches.

According to Gartner’s 2024 report, companies leveraging AI-based risk management tools saw a 30% reduction in data breach incidents. This statistic emphasizes AI’s ability to prevent risk events. Moreover, as data protection laws become stricter, AI helps organizations maintain compliance through precise monitoring and reporting mechanisms.

The dual role of AI as both a risk and a risk management tool defines the modern business landscape. Organizations that recognize AI’s strategic value and incorporate it into their planning will be well-positioned to thrive. The improvements in decision-making, efficiency, and risk forecasting that AI offers are too significant to ignore.

However, these opportunities come with responsibility. Companies must adopt ethical AI practices and ensure robust data protection to avoid negative societal impacts. Failure to address these issues could have serious consequences, not only for businesses but also for society as a whole.

Ultimately, the question is not whether to adopt AI but how to implement it sustainably and responsibly. Leaders with a vision for ethical AI usage will not only mitigate risks but also unlock new opportunities previously beyond reach. As business environments continue to evolve rapidly in 2024 and beyond, organizations that fail to adapt will fall behind. Integrating AI as both a tool and a mandate is essential for any innovative organization looking to succeed.

To Know More, Read Full Article @ https://ai-techpark.com/ai-is-both-a-risk-and-a-tool/

Related Articles -

The Rise of Serverless Architectures

Top Five Best AI Coding Assistant Tools

Trending Category - AItech machine learning

In the digital world, data is the lifeline of any business, be it trade secrets, sales records, customers’ personal data, and other sensitive information. Organizations use this data to create innovations and increase their long-term client base.

However, the current situation is quite different, especially with this surge in cyberattacks, insider threats, and phishing attacks. In a recent report by Forbes, it was witnessed that in 2023, security breaches saw a 72% increase from 2021, which held the previous record. Hence, protecting this data has never been so important.

Organizations can use data loss prevention (DLP), an indispensable tool that monitors, identifies, and protects sensitive data from unauthorized access and leakage, to prevent data loss.

DLP also aids organizations in meeting regulatory mandates such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). These laws and regulations are stringent obligations in an organization that secures sensitive data and notifies the security teams during data breaches. With the help of DLP solutions, CISOs, CIOs, or IT managers can ensure that the right employees are accessing the right data for the correct reason.

For a better understanding of this subject, today’s AITech Park article will discuss data loss prevention, how it functions, software solutions, and the latest strategies and policies organizations can implement for stronger data security.

Reasons for Data Loss in Organizations

With the growing digital data and increasingly sophisticated cyber threats, data loss has become a primary concern for organizations worldwide, and data breaches, data leakage, or data exfiltration commonly cause this data loss.

Cybercriminals steal and transfer data from a network or device in data exfiltration. This act can be conducted by insiders or outsiders who generally perform cyberattacks such as DDoS attacks or phishing, and such data are exfiltrated through login credentials and intellectual property.

insider threats are extremely dangerous because the hazards come from within the company, leaving sensitive data vulnerable to exploitation. According to the website Check Point, it was observed that 43% of all breaches are insider threats, either intentional or unintentional, through company employees or former employees, contractors, and business associates.

It is witnessed that breaches often occur due to employees’s negligence, and there are numerous reasons such as weak security practices, execution of poor cybersecurity training programs, and not applying the principle of least privilege (POLP). Therefore, organizations need to provide comprehensive cybersecurity training for their employees so they comprehend the significance of keeping company data and personal data safe from antagonists.

CISOs, CIOs, or IT managers should also focus on creating strategies around DLP solutions and train employees to adopt cybersecurity best practices when performing their work.

To Know More, Read Full Article @ https://ai-techpark.com/data-loss-prevention-in-digital-world/

Related Articles -

AI in Drug Discovery and Material Science

Rise of Deepfake Technology

Trending Category - IOT Wearables & Devices

With the increase in remote working, the technological landscape is gradually changing, bringing great importance to data and cybersecurity training for data professionals. Responding to this shift requires training solutions and courses that can be tailored according to their compliance priorities and accommodate different levels of expertise, knowledge, and exposure to data

The solution to this problem is data privacy certifications, which serve as an essential tool for professionals who seek to gain more knowledge on data privacy or understand the new privacy standards and requirements for securing organizational data.

Therefore, with this increasing effect of digitization, AI Tech Park brings you an exclusive article that will help you understand the top five trending certification courses that are crucial in this digital world.

Certified Information Privacy Professional (CIPP)

The International Association of Privacy Professionals (IAPP) offers the CIPP certification, which provides global awareness of the top privacy laws and practices to steer the complex landscape of privacy regulations. The program is recommended for professionals working as data protection and security experts who manage business and client information and work closely in related fields such as compliance, legal obligations, and data governance.

Certified Data Privacy Solutions Engineer (CDPSE)

The Information Systems Audit and Control Association (ISACA) introduced the CDPSE course for applicants with at least five years of professional experience in at least two domains specified in the exam content outline. The CDPSE  course is designed for data professionals, compliance officers, and software engineers and teaches them about data privacy in technology development, product creation, or process design.

PECB Certified Data Protection Officer (CDPO)

The Professional Evaluation and Certification Board (PECB) launched the CDPO course for experienced Data Protection Officers to gain the necessary knowledge, skills, and competencies to implement GDPR compliance programs. To earn the PECB Data Protection Officer certification, candidates must clear an exam, gain a minimum of five years of professional experience as a data professional, complete 300 hours of data protection by the institutes, and also have a minimum of five years of professional experience.

With technological advancements in the business world, data breaches have become a common trick for cyber attackers, and to highlight this as a challenge, privacy regulations have become stricter. This announces the role of data professionals who can work as guides and revolutionize the data privacy landscape. However, to be a trusted data professional and leader, you need to choose the right certification courses from the above list that will not only validate your expertise and knowledge on the subject but also establish an authoritative approach in the field of data privacy, security, and protection.

To Know More, Read Full Article @ https://ai-techpark.com/5-best-data-privacy-certification-programs/ 

Related Articles -

Future of QA Engineering

Top 5 Data Science Certifications

Trending Category - Mental Health Diagnostics/ Meditation Apps

Eric, could you please introduce yourself and elaborate on your role as president at ProserveIT?

Hello, I’m Eric Sugar, President at ProServeIT, my focus is on helping clients set their strategic direction with regards to technology that enables their business.  Eric’s passion is teaching how technology can be leveraged by businesses to enable growth and added value.  As President at ProServeIT  I support our clients and team in creatively deploying and using technology.

Eric holds a Bachelor of Arts (Economics and Math) from the University of Toronto.

I’m an avid rower, cyclist and hockey player who can put a golf ball in the woods better than most.

Can you provide a concise overview of Zero Trust Architecture and its significance in modern cybersecurity?

Zero Trust Architecture (ZTA) is a security model that assumes that any user, system, or service operating within or outside of an organization’s network perimeter is untrustworthy until proven otherwise. It is based on the principle of “never trust, always verify” and requires strict identity verification for every person and device trying to access resources on a private network, regardless of their location. The principles behind a Zero Trust network include Identity and Access Management (IAM), Data Protection, and Network Segmentation

In the context of ZTA, how does the concept of “never trust, always verify” apply to both internal and external network environments? What are the key implications of this approach for organisations?

In the context of ZTA, the concept of “never trust, always verify” applies to both internal and external network environments. This approach has key implications for organizations, as it requires them to implement strict identity verification and access controls for every person and device trying to access their resources, regardless of their location. This helps organizations mitigate cybersecurity risks and protect sensitive data effectively

What are the key benefits of implementing Zero Trust Architecture, and how does it help organisations mitigate cybersecurity risks and protect sensitive data effectively?

The benefits of implementing ZTA include reducing the attack surface and preventing lateral movement by attackers within the network, as each resource is isolated and protected by granular policies and controls. It also enhances the visibility and monitoring of network activity and behavior, as each request and transaction is logged and analyzed for anomalies and threats.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-eric-sugar-president-at-proserveit/

Read Related Articles:

What is ACI

Democratized Generative AI

Could you delve deeper into Lookout’s strategy for achieving its mission of ensuring a secure digital future?

As the leading provider of Data-Centric Cloud Security, we work to set a new standard for helping businesses protect the sensitive data and information they care about most. Today, the boundary between enterprise and personal data has all but disappeared.  A common software vulnerability can compromise a large, global company, which in turn can expose the personal information of millions of its customers.  And the reality is that regardless of corporate policies, people use the device that is in front of them to do both business work and personal tasks. People work from home, where the pace of corporate work intermeshes with the demands of home and family. An organization’s employees have personal presence on social media, and the history of data breaches combined with privacy-invasive tracking mean that there is an enormous amount of data about employees in the dark web, and attackers, who always use the easiest and least defended path to attack, are targeting employees as a means to gain access to enterprise data.

This reality requires a bold new approach to data protection—one that’s easy, automatic, and transparent. Our mission is to secure and empower productivity while keeping privacy a top priority in a world where work can happen anywhere. We do this by offering both mobile threat defense and security service edge (SSE) solutions to enterprise and government organizations.

Many individuals express concerns that AI might potentially compromise digital security. In the light of this, could you elaborate on Lookout’s perspective and approach towards leveraging AI, as exemplified by Lookout SAIL, to enhance cybersecurity effectiveness?

AI is playing an increasingly important role in cybersecurity. In fact, last year, Acumen Research and Consulting put out a report valuing the global market for AI-based cybersecurity products at $14.9 billion in 2021 with an estimated value of $133.8 billion by 2030. However, many say hackers are reaping the benefits as well, considering AI-generated phishing emails have higher rates of being opened than manually crafted phishing emails. So it’s important to be mindful when creating and deploying AI-powered products. For us, we thought about what our customers need the most in light of talent shortages in the industry and decided on a generative AI assistant to help them use our Lookout Mobile Endpoint Security and Lookout Cloud Security solutions to the fullest and with significant time savings.

To Know More, Read Full Interview @ https://ai-techpark.com/a-50-year-journey-in-cybersecurity-and-innovation/
Read Related Articles:

Information Security and the C-suite

Automated Driving Technologies Work