With tens of thousands of potential threats lurking in remote corners of the deep and dark web, organizations are increasingly at risk of being targeted by cyber attackers or having their sensitive information traded or leaked online. Deep and dark web monitoring enables businesses to safeguard their digital assets and accelerate visibility of online threats, protecting their brand and reputation.

Unlike traditional software, where testing is relatively straightforward, Gen AI apps introduce complexities that make testing far more intricate. This blog explores why traditional software testing methodologies fall short for Gen AI applications and highlights the unique challenges posed by these advanced technologies.

Modern SecOps teams use Security Information and Event Management (SIEM) software to aggregate security logs, detect anomalies, hunt for threats, and enable rapid incident response. While SIEMs enable accurate, near real-time detection of threats, today's SIEM solutions were never designed to handle the volume of security data organizations generate daily. As daily log ingestion grows, so do the costs of data management.

In cybersecurity, session sniffing—an attack method where attackers receive and use session data—is a recurring danger. The impacts of session sniffing are evident from numerous high-profile assaults. Let’s discuss some of these important cases that highlight the significance of strong security procedures.

In today’s digital landscape, ensuring the security of both web applications and websites is paramount. As cyber threats become more sophisticated, organisations must employ robust security measures to protect their assets. Penetration Testing is a critical strategy used to identify vulnerabilities and strengthen defences. However, the approach to Penetration Testing can vary significantly between web applications and websites.

In the early days of cybersecurity, implementing a Security Information and Event Management (SIEM) system was akin to constructing a house from scratch. The SIEM was a blank slate, and transforming raw data into actionable insights was a long and arduous journey. It began with the daunting task of ingesting data from various disparate sources and formats. From there, security teams had to craft detections — rules designed to identify malicious or suspicious activity.

Our teams are always hard at work improving the TrustCloud platform. Here are this month’s biggest updates. Introducing our ServiceNow integration! This is a bidirectional integration with ServiceNow to pull ticket details into TrustCloud. Teams can create new ServiceNow tasks in TrustCloud and attach ServiceNow links as evidence to your tests. The integration also supports automatic task creation from TrustCloud. Just go to Admin -> Connected Apps, where you can automate task creation.