Companies across industries have invested a lot of money in Data Loss Prevention (DLP) solutions, thinking these would help protect important data and comply with regulatory mandates like GDPR, HIPAA, and PCI DSS. But as the world of cybersecurity is changing constantly, many companies are realizing that their traditional DLP solutions and strategies aren’t equipped to keep up with growing threats and business needs.

Cloud computing is changing how companies handle their data, providing unparalleled scalability and flexibility. Gartner predicts that by 2025, 85% of businesses will primarily use cloud services. But this change also brings in associated security risks. The 2023 Cloud Security Report by Cybersecurity Insiders found that 93% of companies are concerned about security risks in the cloud. As more businesses move to the cloud, making sure they have good security measures is very important.

When it comes to data loss, the biggest yet common dangers these days come from within the organization, and social engineering and insider threats are one of the main reasons. This shows that human mistakes are just as risky as external attacks. In this piece, you’ll see how social engineering and insider threats result in data loss. In addition to that, you’ll look at real examples to understand the seriousness of such threats and talk about steps companies can take to protect themselves.

With the rise of data breaches and hacking attempts, a strong cybersecurity posture is the most significant need today. Given the scale of cybercrime growth, you need to carefully consider several key factors that will ultimately impact the cybersecurity solution you pick. Businesses have realized the value of their data; now they must invest in tools to easily detect and respond to security issues.

Data is the backbone of the financial services industry. Each transaction, interaction, and record hold sensitive information. This can be attacked by both internal and foreign attacks. In today’s highly regulated world, financial institutions must make considerable efforts to safeguard their data and comply with regulations such as GDPR, PCI DSS, SOX, and the Gramm-Leach-Bliley Act (GLBA).

Cyberattacks are getting more sophisticated and frequent. Malicious attackers take advantage of vulnerabilities in security systems, resulting in data breaches, ransomware, and downtime. Tools like EDR and NDR are usually used separately, which may not give the complete effectiveness one is looking for. Whereas Extended Detection and Response (XDR) is a solution that unifies all security data, giving you better insight and quicker threat detection.

The traditional methods of detecting and mitigating cyberattacks will no longer be adequate as these attacks become sophisticated and frequent. These days, risk-based alerting and network detection and response (NDR) are regarded as essential tools for safeguarding enterprises. By avoiding false positives or low-priority warnings, risk-based alerting allows security teams to concentrate on the high-risk threats, saving time and resources.

In this digital age, enterprises in all industries are creating and accumulating an astronomical amount of sensitive data to store and exchange. Given a prevalence of highly sensitive data, preventing it from getting into the wrong hands or avoiding data loss by accident has become a top priority. While on surface data loss vs data leak can look harmless, it can lead to financial losses, reputational damages, and even trigger litigation.

Agent Tesla is an advanced piece of malware that functions as a keylogger and RAT (remote access trojan). The malware was first identified in 2014. They are crafted to infiltrate systems and seize sensitive information like usernames, passwords, and other private data mainly by logging keystrokes. This kind of spyware works secretly in the background, which is difficult to detect for the users.

Open XDR is a vendor-agnostic XDR solution that interacts effortlessly with an organization’s existing security infrastructure. It is intended to collect, correlate, and analyze data from many security tools and platforms, resulting in a unified view of the security landscape. Unlike traditional XDR systems, Open XDR allows enterprises to select the finest security products for their individual needs without being restricted to a single vendor’s ecosystem.