Tines | Breaking Cybersecurity News | The Hacker News

The opportunities to use AI in workflow automation are many and varied, but one of the simplest ways to use AI to save time and enhance your organization's security posture is by building an automated SMS analysis service. Workflow automation platform Tines provides a good example of how to do it. The vendor recently released their first native AI features , and security teams have already started sharing the AI-enhanced workflows they've built using the platform.  Tines' library of pre-built workflows includes AI-enhanced pre-built workflows for normalizing alerts, creating cases, and determining which phishing emails require escalations.  Let's take a closer look at their SMS analysis workflow, which, like all of their pre-built workflows, is free to access and import, and can be used with a free Community Edition account.  Here, we'll share an overview of the workflow, and a step-by-step guide for getting it up and running. The problem - SMS scam messages targete...

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...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...