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.

Discover key takeaways from SOSS Fusion 2024, where security experts gathered to learn from one another about improving our world, AI, and the future of open-source security.

By James Rees, MD, Razorthorn Security In today’s complex cybersecurity landscape, Governance, Risk and Compliance (GRC) tools have become essential for organisations managing intricate security ecosystems. These tools are designed to centralise information, streamline processes and offer crucial insights into an organisation’s risk posture. However, as cybersecurity expert Jack Jones revealed when he joined me on a recent podcast, the reality often falls short of these ambitious claims.

False positives in API security are a serious problem, often resulting in wasted results and time, missing real threats, alert fatigue, and operational disruption. Fortunately, however, emerging technologies like machine learning (ML) can help organizations minimize false positives and streamline the protection of their APIs. Let's examine how.

There are several tactics that threat actors can use to access cloud environments, services, and data. A common example is lateral movement, which involves techniques that enable a threat actor to pivot from one host to the next within an environment. This type of activity often uses other tactics, such as initial access and privilege escalation, as part of a larger attack flow.

Traditional cybersecurity practices often work to obstruct users rather than help them. In this article, we explore this phenomenon and ways to refocus on user-centered security.

Your antivirus protects your workstation from malware, but how do you protect your business from Advanced Persistent Threats?

In 2024, healthcare organizations face heightened security challenges, mainly as they increasingly rely on Application Programming Interfaces (APIs) to support critical functions. APIs have become indispensable in driving digital transformation and improving operational efficiencies across healthcare systems. However, the rising complexity and volume of APIs, alongside insufficient security practices, have created a vulnerable environment ripe for exploitation.