Security Operations | Breaking Cybersecurity News | The Hacker News

Intro: Why hack in when you can log in? SaaS applications are the backbone of modern organizations, powering productivity and operational efficiency. But every new app introduces critical security risks through app integrations and multiple users, creating easy access points for threat actors. As a result, SaaS breaches have increased, and according to a May 2024 XM Cyber report, identity and credential misconfigurations caused 80% of security exposures. Subtle signs of a compromise get lost in the noise, and then multi-stage attacks unfold undetected due to siloed solutions. Think of an account takeover in Entra ID, then privilege escalation in GitHub, along with data exfiltration from Slack. Each seems unrelated when viewed in isolation, but in a connected timeline of events, it's a dangerous breach. Wing Security's SaaS platform is a multi-layered solution that combines posture management with real-time identity threat detection and response. This allows organizations to get a ...

The rapid adoption of cloud services, SaaS applications, and the shift to remote work have fundamentally reshaped how enterprises operate. These technological advances have created a world of opportunity but also brought about complexities that pose significant security threats. At the core of these vulnerabilities lies Identity —the gateway to enterprise security and the number one attack vector for bad actors. Explore the importance of modernizing Identity strategies and the benefits of centralizing Identity within your security ecosystem to safeguard your organization from costly breaches while enhancing operational efficiency. The rise of fragmented tech stacks Gone are the days when enterprises relied on a single solution tied to a comprehensive license agreement. Businesses today prioritize agility and performance, opting for "best-in-breed" solutions that patch together fragmented tech ecosystems. While these advanced tech stacks provide flexibility, they also create signif...

Organizations today face relentless cyber attacks, with high-profile breaches hitting the headlines almost daily. Reflecting on a long journey in the security field, it's clear this isn't just a human problem—it's a math problem. There are simply too many threats and security tasks for any SOC to manually handle in a reasonable timeframe. Yet, there is a solution. Many refer to it as SOC 3.0—an AI-augmented environment that finally lets analysts do more with less and shifts security operations from a reactive posture to a proactive force. The transformative power of SOC 3.0 will be detailed later in this article, showcasing how artificial intelligence can dramatically reduce workload and risk, delivering world-class security operations that every CISO dreams of. However, to appreciate this leap forward, it's important to understand how the SOC evolved over time and why the steps leading up to 3.0 set the stage for a new era of security operations. A brief history of the SOC For deca...

The job of a SOC analyst has never been easy. Faced with an overwhelming flood of daily alerts, analysts (and sometimes IT teams who are doubling as SecOps) must try and triage thousands of security alerts—often false positives—just to identify a handful of real threats. This relentless, 24/7 work leads to alert fatigue, desensitization, and increased risk of missing critical security incidents. Studies show that 70% of SOC analysts experience severe stress, and 65% consider leaving their jobs within a year . This makes retention a major challenge for security teams, especially in light of the existing shortage of skilled security analysts . On the operational side, analysts spend more time on repetitive, manual tasks like investigating alerts, and resolving and documenting incidents than they do on proactive security measures. Security teams struggle with configuring and maintaining SOAR playbooks as the cyber landscape rapidly changes. To top this all off, tool overload and siloed ...

Triaging and investigating alerts is central to security operations. As SOC teams strive to keep up with ever-increasing alert volumes and complexity, modernizing SOC automation strategies with AI has emerged as a critical solution. This blog explores how an AI SOC Analyst transforms alert management, addressing key SOC challenges while enabling faster investigations and responses. Security operations teams are under constant pressure to manage the relentless flow of security alerts from an expanding array of tools. Every alert carries the risk of serious consequences if ignored, yet the majority are false positives. This flood of alerts bogs down teams in a cycle of tedious, repetitive tasks, consuming valuable time and resources. The result? Overstretched teams are struggling to balance reactive alert "whack-a-mole" chasing with proactive threat hunting and other strategic security initiatives.  Core challenges High alert volumes: Security operations teams receive hundreds t...

Imagine receiving a penetration test report that leaves you with more questions than answers. Questions like, "Were all functionalities of the web app tested?" or " Were there any security issues that could have been identified during testing?" often go unresolved, raising concerns about the thoroughness of the security testing. This frustration is common among many security teams. Pentest reports, while crucial, frequently lack the depth and detail necessary to truly assess the success of the project. Even with years of experience working with cybersecurity teams and managing ethical hacking projects, we frequently encountered these same issues. Whether collaborating with external pentest providers or managing our own projects as founders of Hackrate , we often faced difficulties in ensuring that the testing was as comprehensive as it needed to be. This realization inspired us to create HackGATE , a managed gateway solution built to bring transparency and contro...

Vulnerability Management (VM) has long been a cornerstone of organizational cybersecurity. Nearly as old as the discipline of cybersecurity itself, it aims to help organizations identify and address potential security issues before they become serious problems. Yet, in recent years, the limitations of this approach have become increasingly evident.  At its core, Vulnerability Management processes remain essential for identifying and addressing weaknesses. But as time marches on and attack avenues evolve, this approach is beginning to show its age. In a recent report, How to Grow Vulnerability Management into Exposure Management (Gartner, How to Grow Vulnerability Management Into Exposure Management, 8 November 2024, Mitchell Schneider Et Al.), we believe Gartner® addresses this point precisely and demonstrates how organizations can – and must – shift from a vulnerability-centric strategy to a broader Exposure Management (EM) framework. We feel it's more than a worthwhile read an...

Behavioral analytics, long associated with threat detection (i.e. UEBA or UBA), is experiencing a renaissance. Once primarily used to identify suspicious activity, it's now being reimagined as a powerful post-detection technology that enhances incident response processes. By leveraging behavioral insights during alert triage and investigation, SOCs can transform their workflows to become more accurate, efficient, and impactful. Fortunately, many new cybersecurity products like AI SOC analysts are able to incorporate these techniques into their investigation capabilities, thus allowing SOCs to utilize them into their response processes. This post will provide a brief overview of behavior analytics then discuss 5 ways it's being reinvented to shake up SOC investigation and incident response work. Behavior Analysis is Back, But Why? Behavioral analytics was a hot topic back in 2015, promising to revolutionize static SIEM and SOC detections with dynamic anomaly detection to uncover t...

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....