Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.