Data Loss | Breaking Cybersecurity News | The Hacker News

Conversations about data security tend to diverge into three main threads: How can we protect the data we store on our on-premises or cloud infrastructure? What strategies and tools or platforms can reliably backup and restore data? What would losing all this data cost us, and how quickly could we get it back? All are valid and necessary conversations for technology organizations of all shapes and sizes. Still, the average company uses  400+ SaaS applications . The same report also uncovered that 56% of IT professionals aren't aware of their data backup responsibilities. This is alarming, given that 84% of survey respondents said at least 30% of their business-critical data lives inside SaaS applications.  SaaS data isn't like on-premises or cloud data because you have no ownership over the operating environment and far less ownership of the data itself. Due to those restrictions, creating automated backups, storing them in secure environments, and owning the restorati...

More than a decade ago, the concept of the  'blameless'  postmortem changed how tech companies recognize failures at scale. John Allspaw, who coined the term during his tenure at Etsy, argued postmortems were all about controlling our natural reaction to an incident, which is to point fingers: "One option is to assume the single cause is incompetence and scream at engineers to make them 'pay attention!' or 'be more careful!' Another option is to take a hard look at how the accident actually happened, treat the engineers involved with respect, and learn from the event." What can we, in turn, learn from some of the most honest and blameless—and public—postmortems of the last few years? GitLab: 300GB of user data gone in seconds What happened : Back in 2017, GitLab experienced a painful 18-hour outage. That story, and GitLab's subsequent honesty and transparency, has significantly impacted how organizations handle data security today. The incident began when GitLab's second...

Serverless environments, leveraging services such as AWS Lambda, offer incredible benefits in terms of scalability, efficiency, and reduced operational overhead. However, securing these environments is extremely challenging. The core of current serverless security practices often revolves around two key components: log monitoring and static analysis of code or system configuration. But here is the issue with that: 1. Logs Only Tell Part of the Story Logs can track external-facing activities, but they don't provide visibility into the internal execution of functions. For example, if an attacker injects malicious code into a serverless function that doesn't interact with external resources (e.g., external APIs or databases), traditional log-based tools will not detect this intrusion. The attacker may execute unauthorized processes, manipulate files, or escalate privileges—all without triggering log events. 2. Static Misconfiguration Detection is Incomplete Static tools that check ...

In the current digital landscape, data has emerged as a crucial asset for organizations, akin to currency. It's the lifeblood of any organization in today's interconnected and digital world. Thus, safeguarding the data is of paramount importance. Its importance is magnified in on-premises Exchange Server environments where vital business communication and emails are stored and managed.  In this article, you will learn about the evolving threats of data loss, the shift in responsibilities of administrators, and key backup and recovery strategies for preventing data loss in the Exchange Server environment. Data Loss Scenarios in Exchange Servers Data loss in on-premises Exchange Server environment has become increasingly common. Cybersecurity threats, like ransomware attacks, have emerged as a significant cause of data loss in recent years, with many financially motivated threat actors increasingly targeting the vulnerabilities in Exchange Servers. These attackers try to exploit ...

A cyberespionage actor known as Tick has been attributed with high confidence to a compromise of an East Asian data-loss prevention (DLP) company that caters to government and military entities. "The attackers compromised the DLP company's internal update servers to deliver malware inside the software developer's network, and trojanized installers of legitimate tools used by the company, which eventually resulted in the execution of malware on the computers of the company's customers," ESET researcher Facundo Muñoz  said . Tick , also known as Bronze Butler, REDBALDKNIGHT , Stalker Panda, and Stalker Taurus, is a suspected China-aligned collective that has primarily gone after government, manufacturing, and biotechnology firms in Japan. It's said to be active  since at least 2006 . Other lesser-known targets include Russian, Singaporean, and Chinese enterprises. Attack chains orchestrated by the group have typically leveraged spear-phishing emails and  str...

One of the most intimidating issues that gives nightmares to IT teams across organizations is data breaches or data loss. Typically, data loss happens when security is compromised and corporate sensitive data is accessed. It might fall under any of these categories: Unauthorized, intentional or unintentional exfiltration of confidential information Data spill or data leak This can happen due to external security attacks like malware, hacking or sometimes even from an internal source such as a disgruntled employee. This calls for a data loss prevention (DLP) system in place that would help you contain and avoid the loss of data. Data loss happens in many stages and can be broadly categorized into three categories: Data in Motion: Data that moves through the network to the outside, in most cases using the Internet Data at Rest: Data that rests in your database and other provisions for storage Data at the Endpoints: Data at the endpoints of your network, say, data on USB and oth...