SIEM | Breaking Cybersecurity News | The Hacker News

Why do SOC teams still drown in alerts even after spending big on security tools? False positives pile up, stealthy threats slip through, and critical incidents get buried in the noise. Top CISOs have realized the solution isn't adding more and more tools to SOC workflows but giving analysts the speed and visibility they need to catch real attacks before they cause damage.  Here's how they're breaking the cycle and turning their SOCs into true threat-stopping machines. Starting with Live, Interactive Threat Analysis The first step to staying ahead of attackers is seeing threats as they happen. Static scans and delayed reports just can't keep up with modern, evasive malware. Interactive sandboxes like ANY.RUN let analysts detonate suspicious files, URLs, and QR codes in a fully isolated, safe environment and actually interact with the sample in real time . Why CISOs give access to interactive sandboxes: Analysts can click links, open files, and mimic real user actions to trig...

Just as triathletes know that peak performance requires more than expensive gear, cybersecurity teams are discovering that AI success depends less on the tools they deploy and more on the data that powers them The junk food problem in cybersecurity Imagine a triathlete who spares no expense on equipment—carbon fiber bikes, hydrodynamic wetsuits, precision GPS watches—but fuels their training with processed snacks and energy drinks. Despite the premium gear, their performance will suffer because their foundation is fundamentally flawed. Triathletes see nutrition as the fourth discipline of their training that can have a significant impact on performance and can even determine race outcomes. Today's security operations centers (SOCs) face a similar issue. They're investing heavily in AI-powered detection systems, automated response platforms, and machine learning analytics—the equivalent of professional-grade triathlon equipment. But they're powering these sophistic...

Cyber threats and attacks like ransomware continue to increase in volume and complexity with the endpoint typically being the most sought after and valued target. With the rapid expansion and adoption of AI, it is more critical than ever to ensure the endpoint is adequately secured by a platform capable of not just keeping pace, but staying ahead of an ever-evolving threat landscape. SentinelOne's steadfast commitment to delivering AI-powered cybersecurity enables global customers and partners to achieve resiliency and reduce risk with real-time, autonomous protection across the entire enterprise — all from a single agent and console with a robust, rigorously tested platform that keeps the customer in control. Cybersecurity today isn't just about detection—it's about operational continuity under pressure. For example, endpoint solutions must account for encrypted traffic inspection, policy enforcement during identity compromise, and fast containment across distributed environments. ...

Security Operations Centers (SOCs) are stretched to their limits. Log volumes are surging, threat landscapes are growing more complex, and security teams are chronically understaffed. Analysts face a daily battle with alert noise, fragmented tools, and incomplete data visibility. At the same time, more vendors are phasing out their on-premises SIEM solutions, encouraging migration to SaaS models. But this transition often amplifies the inherent flaws of traditional SIEM architectures. T he Log Deluge Meets Architectural Limits SIEMs are built to process log data—and the more, the better, or so the theory goes. In modern infrastructures, however, log-centric models are becoming a bottleneck. Cloud systems, OT networks, and dynamic workloads generate exponentially more telemetry, often redundant, unstructured, or in unreadable formats. SaaS-based SIEMs in particular face financial and technical constraints: pricing models based on events per second (EPS) or flows-per-minute (FPM) ca...

If you're evaluating AI-powered SOC platforms, you've likely seen bold claims: faster triage, smarter remediation, and less noise. But under the hood, not all AI is created equal. Many solutions rely on pre-trained AI models that are hardwired for a handful of specific use cases. While that might work for yesterday's SOC, today's reality is different. Modern security operations teams face a sprawling and ever-changing landscape of alerts. From cloud to endpoint, identity to OT, insider threats to phishing, network to DLP, and so many more, the list goes on and is continuously growing. CISOs and SOC managers are rightly skeptical. Can this AI actually handle all of my alerts, or is it just another rules engine in disguise? In this post, we'll examine the divide between two types of AI SOC platforms. Those built on adaptive AI, which learns to triage and respond to any alert type, and those that rely on pre-trained AI, limited to handling predefined use cases only. Understanding t...

It sure is a hard time to be a SOC analyst. Every day, they are expected to solve high-consequence problems with half the data and twice the pressure. Analysts are overwhelmed—not just by threats, but by the systems and processes in place that are meant to help them respond. Tooling is fragmented. Workflows are heavy. Context lives in five places, and alerts never slow down. What started as a fast-paced, high-impact role has, for many analysts, become a repetitive loop of alert triage and data wrangling that offers little room for strategy or growth.  Most SOC teams also run lean. Last year, our annual SANS SOC Survey found that a majority of SOCs only consist of just 2–10 full-time analysts , a number unchanged since the survey began tracking in 2017. Meanwhile, the scope of coverage has exploded, ranging from on-prem infrastructure to cloud environments, remote endpoints, SaaS platforms, and beyond. Compounded at scale, this has led to systemic burnout across SOC environment...

Hackers never sleep, so why should enterprise defenses? Threat actors prefer to target businesses during off-hours. That's when they can count on fewer security personnel monitoring systems, delaying response and remediation. When retail giant Marks & Spencer experienced a security event over Easter weekend, they were forced to shut down their online operations, which account for approximately a third of the retailer's clothing and home sales. As most staff are away during off-hours and holidays, it takes time to assemble an incident response team and initiate countermeasures. This gives attackers more time to move laterally within the network and wreak havoc before the security team reacts. While not every organization may be ready to staff an in-house team around the clock, building a 24/7 SOC remains one of the most robust and proactive ways to protect against off-hours attacks. In the rest of this post, we'll explore why 24/7 vigilance is so important, the challenges ...

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...

Zero Trust security changes how organizations handle security by doing away with implicit trust while continuously analyzing and validating access requests. Contrary to perimeter-based security, users within an environment are not automatically trusted upon gaining access. Zero Trust security encourages continuous monitoring of every device and user, which ensures sustained protection after successful user authentication. Why companies adopt Zero Trust security Companies adopt Zero Trust security to protect against complex and increasingly sophisticated cyber threats. This addresses the limitations of traditional, perimeter-based security models, which include no east-west traffic security, the implicit trust of insiders, and lack of adequate visibility.  Traditional vs. Zero Trust security Zero Trust security upgrades an organization's security posture by offering: Improved security posture : Organizations can improve their security posture by continuously gathering data on...

Imagine trying to find a needle in a haystack, but the haystack is on fire, and there are a million other needles you also need to find. That's what dealing with security alerts can feel like. SIEM was supposed to make this easier, but somewhere along the way, it became part of the problem. Too many alerts, too much noise, and not enough time to actually stop threats. It's time for a change. It's time to reclaim control. Join Zuri Cortez and Seth Geftic for an insightful webinar as they navigate the complexities of " Solving the SIEM Problem: A Hard Reset on Legacy Solutions ."  They'll share insider knowledge, battle-tested strategies, and a clear path to taming the SIEM beast in this informative session. Here's what we'll cover: SIEM 101: A quick refresher on what SIEM is, why it's important, and the challenges it faces today The Problem with Legacy SIEM: We'll pull back the curtain and reveal why traditional solutions are struggl...

Incident response is a structured approach to managing and addressing security breaches or cyber-attacks. Security teams must overcome challenges such as timely detection, comprehensive data collection, and coordinated actions to enhance readiness. Improving these areas ensures a swift and effective response, minimizing damage and restoring normal operations quickly. Challenges in incident response Incident response presents several challenges that must be addressed to ensure a swift and effective recovery from cyber attacks. The following section lists some of these challenges. Timeliness : One of the primary challenges in incident response is addressing incidents quickly enough to minimize damage. Delays in response can lead to more compromises and increased recovery costs. Information correlation : Security teams often struggle to effectively collect and correlate relevant data. Without a comprehensive view, understanding the full scope and impact of the incident becomes difficu...

It's the age of identity security. The explosion of driven ransomware attacks has made CISOs and security teams realize that identity protection lags 20 years behind their endpoints and networks. This realization is mainly due to the transformation of lateral movement from fine art, found in APT and top cybercrime groups only, to a commodity skill used in almost every ransomware attack. The lateral movement uses compromised credentials for malicious access – a critical blind spot that existing XDR, network, and SIEM solutions fail to block.  Identity Threat Detection and Response (ITDR) has emerged in the last couple of years to close this gap. This article breaks down the top five ITDR capabilities and provides the key questions to ask your ITDR vendor. Only a definitive 'YES' to these questions can ensure that the solution you evaluate can indeed deliver its identity security promise.  Coverage For All Users, Resources, and Access Methods  Why is it important? Par...