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.

Advanced Persistent Threats or APT are a growing concern in the business world. Hackers are constantly improving their tactics and adopting new vulnerabilities. Organizations are scrambling with the increasing sophistication of attacks and are ready to invest in cybersecurity solutions in the hopes of early Advanced Persistent Threat detection and mitigation. However, before choosing a solution, it is important to understand the meaning and nature of APT.

As cyberattacks are becoming more sophisticated, traditional security measures such as firewalls and intrusion detection systems (IDS) are no longer sufficient. That’s why Network Detection and Response (NDR) is brought into the picture, to provide better and advanced solutions. It comes with real-time detection, automated responses, and advanced analysis. This blog focuses on the protective defense capabilities of NDR in cyber security.

Increasingly targeted ransomware attacks, has cyber professionals on high alert securing their networks and understandably with a single attack being potentially such a massive loss (both in terms of finance, operational disruption as well as brand damage). A company that relies on its data to operate or grow should make setting in place a defense against ransomware a top priority. But we cannot take any protection measure without knowing what ransomware is all about.

Network security is no longer a luxury but a necessity in the world that is going digital, and Network based Intrusion Detection Systems (NIDS) have become one of the major parts of securing your system. NIDS is like a loyal watchdog that keeps looking into the traffic across the network. But what are the cybersecurity basics behind network intrusion detection? At its core, you need to understand that Network-based Intrusion Detection Systems monitors incoming and outgoing network traffic in real time.