Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍ Today, cybersecurity is evolving into cyber risk management. The last few decades of immense technological and digital transformations have meant that, to a large extent, a business’s ability to be resilient is dependent on a reliable, free flow of data and on technology functioning without interruption. This shift has profound implications for the global economy’s ability to remain stable. ‍

In the ever-evolving landscape of digital business, security is paramount. As businesses navigate the complexities of today's interconnected world, ensuring the safety of sensitive data and maintaining the integrity of operations becomes a top priority. Partner with Airtel, a trusted leader in telecommunications, and explore the cutting-edge Airtel Managed Security Services, fortified by the robust Elastic Security stack.

During a recent customer assessment, our pen testers discovered a critical vulnerability that exemplifies the importance of manual and continuous pen testing. The issue involved a feature intended for administrators, allowing them to send messages to a “broadcast” endpoint, which would then be displayed in a modal pop-up box for all logged-in users of the web application. However, our pen testers found that this functionality was accessible to any user, regardless of their role.

In a recent ad on a closed Telegram channel, a known threat actor has announced it’s recruiting AI and ML experts for the development of it’s own LLM product.

With authentication, you can face serious consequences if you follow the old motto, “if it ain’t broke, don’t fix it.” From applications to APIs, authentication tells you whether the person or technology accessing a resource is legitimate. In 2017, the Open Worldwide Application Security Project (OWASP), identified broken authentication as #2 on its list of Top 10 application security threats.

Welcome to the final installment in our “Add to Chrome?” research! In this post, we'll experiment with a method to find masquerading, or suspicious clusters of Chrome extensions using Model-Assisted Threat Hunting (M-ATH) with Splunk and the Data Science & Deep Learning (DSDL) App. M-ATH is a SURGe-developed method from the PEAK framework, which uses models or algorithms to help find threat-hunting leads, or to help make complex problems more approachable.