SOC Automation | Breaking Cybersecurity News | The Hacker News

Security Orchestration, Automation, and Response (SOAR) was introduced with the promise of revolutionizing Security Operations Centers (SOCs) through automation, reducing manual workloads and enhancing efficiency. However, despite three generations of technology and 10 years of advancements, SOAR hasn't fully delivered on its potential, leaving SOCs still grappling with many of the same challenges. Enter Agentic AI—a new approach that could finally fulfill the SOC's long-awaited vision, providing a more dynamic and adaptive solution to automate SOC operations effectively. Three Generations of SOAR – Still Falling Short SOAR emerged in the mid-2010s with companies like PhantomCyber, Demisto, and Swimlane, promising to automate SOC tasks, improve productivity, and shorten response times. Despite these ambitions, SOAR found its greatest success in automating generalized tasks like threat intel propagation, rather than core threat detection, investigation, and response (TDIR) workloads....

Created by John Tuckner and the team at automation and AI-powered workflow platform  Tines , the  SOC Automation Capability Matrix (SOC ACM)  is a set of techniques designed to help security operations teams understand their automation capabilities and respond more effectively to incidents.  A customizable, vendor-agnostic tool featuring lists of automation opportunities, it's been shared and recommended by members of the security community since its launch in January 2023, notably by Airbnb engineer Allyn Stott in his BSides and Black Hat talk,  How I Learned to Stop Worrying and Build a Modern Detection & Response Program .   The SOC ACM has been compared to the MITRE ATT&CK and RE&CT frameworks, with one user saying, "it could be a standard for classification of SOAR automations, a bit like the RE&CT framework, but with more automation focus." It's been used by organizations in Fintech, Cloud Security, and beyond, as a basis for asses...

Serverless environments, leveraging services such as AWS Lambda, offer incredible benefits in terms of scalability, efficiency, and reduced operational overhead. However, securing these environments is extremely challenging. The core of current serverless security practices often revolves around two key components: log monitoring and static analysis of code or system configuration. But here is the issue with that: 1. Logs Only Tell Part of the Story Logs can track external-facing activities, but they don't provide visibility into the internal execution of functions. For example, if an attacker injects malicious code into a serverless function that doesn't interact with external resources (e.g., external APIs or databases), traditional log-based tools will not detect this intrusion. The attacker may execute unauthorized processes, manipulate files, or escalate privileges—all without triggering log events. 2. Static Misconfiguration Detection is Incomplete Static tools that check ...

It's no secret that the job of SOC teams continues to become increasingly difficult. Increased volume and sophistication of attacks are plaguing under-resourced teams with false positives and analyst burnout. However, like many other industries, cybersecurity is now beginning to lean on and benefit from advancements in automation to not only maintain the status quo, but to attain better security outcomes. Automation across multiple phases of the SOC workflow The need for automation is clear, and it is apparent that it is becoming table stakes for the industry. Of all cyber resilient organizations, IBM estimates that  62%  have deployed automation, AI and machine learning tools and processes.  Up until now, much of these advancements in automation have been focused on response, with SOAR and incident response tools playing an instrumental role in tackling the most urgent phase of the SOC workflow.  Centering the focus only on response, however, means we're treat...