In 2024, cyber threats are evolving fast. Attackers are using advanced tools like AI-powered malware, ransomware-as-a-service models, and targeted supply chain attacks that can get past traditional security measures. To fight these threats, security teams need tools that can move faster than attackers, giving them a clear view and coordinated responses across their IT ecosystem.

Did you know that 68% of companies that hunt threats see their overall security improve? Cyber-attacks are getting trickier and more frequent. Thousands of new vulnerabilities emerge each month, and malicious actors are using advanced techniques—like fileless attacks—to bypass traditional defenses. If you still use outdated tools, you put your company at big risk. Serious threats like ransomware can mess up your systems leaving you open to bad breaches.

Data breaches and network security threats are becoming a major problem for companies. The goal is not only to detect attacks but to stop them from happening in the first place. Fidelis Network DLP gives businesses a strong and integrated system to protect sensitive data. By preventing data leaks across all network traffic, Fidelis Network DLP helps businesses protect themselves from both external cyber-attacks and insider threats.

Healthcare networks are facing increased pressure to not only secure patient data but also sustain critical patient services. Unfortunately, this industry has become a major target for cybercriminals. In one breach, healthcare facilities face costly ransom demands, regulatory fines, and an enormous hit to patient trust.

General Data Protection Regulation Compliance, also known as GDPR Compliance, is the European Union’s foundation law on data privacy and security. The objective of GDPR is to provide individual’s control over their personal data from how it’s collected to how it’s use, shared, and storage.

Threat hunting is the discovery of malicious artifacts, activity or detection methods not accounted for in passive monitoring capabilities. Essentially, threat hunting is the process of identifying unknown threats that otherwise would be hiding in your network and on your endpoints, lying in wait to further expand access and/or steal sensitive data.

Cyber threats hide everywhere, and the numbers are shocking—more than 80% of companies dealt with a major security problem last year. The usual safety steps just don’t work well enough now leaving too many openings for attackers to sneak through. This is where Extended Detection and Response (XDR) comes in. XDR brings together information from computers, networks, and the cloud into one system giving security teams the power to spot and tackle threats better.

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.