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Category — SIEM
How AI-Assisted Attacks Are Breaking Legacy SIEM Tools

How AI-Assisted Attacks Are Breaking Legacy SIEM Tools

Aug 03, 2026
Somewhere right now, malware running on a compromised machine is checking in with an AI model, asking it for a new version of itself. Google's Threat Intelligence Group caught this happening in late 2025. The malware, nicknamed PROMPTFLUX, does this every hour it runs, and each version comes back looking different from the last. By the time a security tool learns to recognize it, it has already changed shape again. This isn't a rare glitch or a lab experiment. It's a preview of how a growing share of attacks work today and why legacy SIEM platforms built to detect known patterns are starting to fall behind. Legacy security tools were built to detect, not to adapt A SIEM is a system that collects logs from every part of a company's network and looks for signs of an attack. For years, it worked like a security guard with a very long memory. The guard learns what a break-in looks like - a certain kind of file, a pattern of behavior, a code signature, and watches fo...
Detecting Phishing and Insider Threats Using Wazuh

Detecting Phishing and Insider Threats Using Wazuh

Jun 03, 2026
Phishing and insider threats continue to pose significant, often overlapping risks in modern threat landscapes. Compromised credentials obtained through phishing campaigns or social engineering attacks can grant adversaries legitimate access, effectively converting external threats into insider risks. This convergence complicates detection, as malicious activity may closely mimic authorized user behavior. To address this challenge, security teams require a platform that can correlate events from multiple sources, including endpoints, users, and network activity. Security teams, therefore, need a Security Information and Event Management (SIEM) platform that can collect and correlate activity across endpoints, users, and network sources. A SIEM platform enables the aggregation and correlation of data from multiple sources, helping analysts uncover suspicious patterns that would otherwise go unnoticed. Phishing attacks Phishing attacks remain among the most effective techniques us...
Wazuh for Proactive Vulnerability Management

Wazuh for Proactive Vulnerability Management

Mar 31, 2026
Vulnerability management is the continuous process of identifying, assessing, prioritizing, and addressing security weaknesses across systems, applications, and infrastructure. It extends beyond periodic scanning; it includes validating findings, understanding exposure in real-world environments, and tracking remediation over time. Effective vulnerability management combines asset visibility, vulnerability intelligence, and operational context to determine which flaws present actual risk rather than theoretical exposure. Modern IT environments further complicate the process of vulnerability management. Hybrid IT infrastructure, third-party dependencies, and internet-facing services increase the attack surface while generating large volumes of vulnerability data. Security teams must balance operational constraints, such as out-of-support legacy systems and uptime requirements, with the need to quickly reduce exposure. As a result, vulnerability management is no longer limited to coun...
The High Cost of Useless Alerts: Why SIEMs No Longer Make Sense

The High Cost of Useless Alerts: Why SIEMs No Longer Make Sense

Sept 01, 2025
At some point in the last decade, SIEMs turned into that one friend who always promises to help you move, then shows up late, eats all your pizza, and still expects gas money. They were supposed to deliver centralized visibility and faster investigations. Instead, most SOC teams ended up with endless alerts, eye-watering bills, and dashboards that look impressive on the big screen but don't actually stop attackers. So, how did we end up here? A short history: when SIEMs were actually useful Back when firewalls were still exciting, SIEMs solved a real problem: logs scattered everywhere, auditors breathing down your neck, and no way to answer "who logged into what, when?" Then came the "next-gen" era. Vendors promised smarter detection, correlations across your stack, and even a pinch of threat intel. The promise was fewer false positives and a faster response. But instead of taming noise, NG SIEMs just amplified it. It was like turning up the volume on a broken radio and calling ...
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