Search results for Data analysis | Breaking Cybersecurity News | The Hacker News

Today, most Network Detection and Response (NDR) solutions rely on traffic mirroring and Deep Packet Inspection (DPI). Traffic mirroring is typically deployed on a single-core switch to provide a copy of the network traffic to a sensor that uses DPI to thoroughly analyze the payload. While this approach provides detailed analysis, it requires large amounts of processing power and is blind when it comes to encrypted network traffic. Metadata Analysis has been specifically developed to overcome these limitations. By utilizing metadata for analysis, network communications can be observed at any collection point and be enriched by the information providing insights about encrypted communication. Network Detection and Response (NDR) solutions have become crucial to reliably monitor and protect network operations. However, as network traffic becomes encrypted and data volumes continue to increase, most traditional NDR solutions are reaching their limits. This begs the question: What detect...

Recently the Office of the Director of National Intelligence (ODNI) unveiled a new strategy for open-source intelligence (OSINT) and referred to OSINT as the "INT of first resort". Public and private sector organizations are realizing the value that the discipline can provide but are also finding that the exponential growth of digital data in recent years has overwhelmed many traditional OSINT methods. Thankfully, Artificial Intelligence (AI) and Machine Learning (ML) are starting to provide a transformative impact on the future of information gathering and analysis.  What is Open-Source Intelligence (OSINT)? Open-Source Intelligence refers to the collection and analysis of information from publicly available sources. These sources can include traditional media, social media platforms, academic publications, government reports, and any other data that is openly accessible. The key characteristic of OSINT is that it does not involve covert or clandestine methods of information ga...

Data security is reinventing itself. As new data security posture management solutions come to market, organizations are increasingly recognizing the opportunity to provide evidence-based security that proves how their data is being protected. But what exactly is data security posture, and how do you manage it?  Data security posture management  (DSPM) became mainstream following the publication of Gartner® Cool Vendors™ in Data Security—Secure and Accelerate Advanced Use Cases. In that  report , Gartner1 seems to have kicked off the popular use of the data security posture management term and massive investment in this space by every VC. Since that report, Gartner has identified at least 16 DSPM vendors, including Symmetry Systems. What is Data Security Posture? There certainly is a lot being marketed and published about data security posture management solutions themselves, but we first wanted to dig into what is data security posture?  Symmetry Systems define...

Ensuring sensitive data remains confidential, protected from unauthorized access, and compliant with data privacy regulations is paramount. Data breaches result in financial and reputational damage but also lead to legal consequences. Therefore, robust data access security measures are essential to safeguard an organization's assets, maintain customer trust, and meet regulatory requirements.  A comprehensive  Data Security Platform  is essential for full visibility and control of sensitive data. One example is Satori's Universal Data Permissions Scanner (UDPS), an open-source authorization analysis tool.   UDPS , available on GitHub, enables universal visibility into data access permissions across various data stores. With this tool, it's easier to identify who has the potential to access sensitive data, which can help organizations take a proactive approach to enhancing their security posture, streamline compliance, and ensure well-governed data access. Understan...

Based on the findings of Malwarebytes' Threat Review for 2022, 40 million Windows business computers' threats were detected in 2021. In order to combat and avoid these kinds of attacks, malware analysis is essential. In this article, we will break down the goal of malicious programs' investigation and how to do malware analysis with a sandbox. What is malware analysis?  Malware analysis is a process of studying a malicious sample. During the study, a researcher's goal is to understand a malicious program's type, functions, code, and potential dangers. Receive the information organization needs to respond to the intrusion. Results of analysis that you get: how malware works: if you investigate the code of the program and its algorithm, you will be able to stop it from infecting the whole system. characteristics of the program: improve detection by using data on malware like its family, type, version, etc. what is the goal of malware: trigger the sample's...

Contemporary organizations understand the importance of data and its impact on improving interactions with customers, offering quality products or services, and building loyalty. Data is fundamental to business success. It allows companies to make the right decisions at the right time and deliver the high-quality, personalized products and services that customers expect. There is a challenge, though. Businesses are collecting more data than ever before, and new technologies have accelerated this process dramatically. As a result, organizations have significant volumes of data, making it hard to manage, protect, and get value from it. Here is where Governance, Risk, and Compliance (GRC) comes in. GRC enables companies to define and implement the best practices, procedures, and governance to ensure the data is clean, safe, and reliable across the board.  More importantly,  organizations can use GRC platforms like StandardFusion  to create an organizational culture aro...

An often overlooked feature of log management software is the ability to conduct forensic analysis of historical events. If your network goes down, your network monitoring tool can tell you what happened, but knowing why it happened is even more valuable. SolarWinds Log & Event Manager has cutting-edge IT search for fast and easy forensic analysis. Here are six ways that the forensic analysis feature of Log & Event Manager can help you piece together what really happened. You can download a free, fully functional 30-day trial of Log & Event Manager from here. 1) ID file changes When collecting logs, you're going to see millions of file changes. How do you know which ones to isolate? It's best to isolate file changes against critical files (protected docs, financial information, personal documents, HR records, etc.). Look at file changes from a forensic approach to determine if suspicious activity has occurred. Often times, a virus will affect file attrib...

With the continuing rise of IoT devices, mobile networks, and digital channels, companies face a lot of pressure to generate meaningful and actionable insights from the wealth of data they capture. Gartner Research lists data democratization as  one of the top  strategic technology trends to watch out for.  While empowering non-technical users to run ad-hoc reports gives enterprises the ability to get closer to business conditions, it also introduces problems of data governance and privacy compliance. All reports are only as good as the data they're based on, and non-technical users might not be aware of the need for data integrity and security. Even the "experts" at cybersecurity firms have been known to leak files  at alarming rates . Organizations need to implement strong data governance strategies to ensure their data is accurate, reliable and secure, while continuing to provide their employees with the resources they need to realize the full benefits of it. ...