SIEM tools correlate security logs to detect suspicious activity sooner, but reliable alerts depend on complete data, tuning, and response plans.
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Security information and event management (SIEM) centralizes logs and security alerts from systems such as identity providers, endpoints, applications, and network devices. It normalizes and correlates events so analysts can identify activity that a single log may not show, such as a suspicious login followed by privilege changes and data access. SIEMs can also support investigation through search, retention, and automated response actions.
Its value depends on trustworthy, relevant telemetry: attackers may exploit unmonitored systems, disable logging, or generate noise that hides meaningful alerts. Poorly protected logs can also expose credentials or personal data and create compliance obligations. Effective practice is to define priority detection cases, collect and time-synchronize the necessary events, restrict and monitor access to logs, protect their integrity and retention, and continuously tune and test detections. SIEM alerts should feed a documented triage and incident-response process rather than be treated as proof of compromise.
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Startup Maps Detections Against MITRE ATT&CK and Recommends Missing ProtectionsCribl acquired Boston-based detection engineering startup CardinalOps to help organizations continuously measure MITRE ATT&CK coverage, automate TTP-based detections across SIEM platforms and move behavioral threat detection closer to the telemetry pipeline.
Building a shortlist for an AI SOC evaluation can be tough. SIEM, SOAR, and pureplay AI SOC vendors are all saying the same thing. But behind the identical label sit very different products, from chat assistants bolted onto a legacy SIEM to agent platforms that run detection, triage, investigation, and response on their own data foundation
Rapid growth turned routine firewall logs into a security and budget liability. One CISO used artificial intelligence to filter what data truly belongs in the SIEM.
Security teams are increasingly overwhelmed by alert fatigue, infrastructure maintenance, and complex hybrid environments. This article explores how Wazuh Cloud helps simplify SIEM/XDR operations through managed infrastructure, automated scaling, and AI-driven security analysis. [...]
MSPs don't lack security data. They struggle to separate real threats from alert noise. Kaseya explains how SIEM helps MSPs improve visibility, reduce fatigue, and respond faster. [...]
From the MGM and Caesars fiasco and MOVEit's patch nightmare to epic business blunders and the jaded reality of living in a post-breach world, Dark Reading looks back at the mistakes, miscalculations, systemic failures, and cringeworthy moments that still have us shaking our heads.
System Translates Detection Rules Across Security PlatformsResearchers developed an AI framework that converts threat detection rules between major SIEM platforms including Splunk, Microsoft Sentinel and QRadar. The system uses LLMs and automated validation steps to preserve detection logic during migrations that often require months of manual work.
Defending a network at 2 am looks a lot like this: an analyst copy-pasting a hash from a PDF into a SIEM query. A red team script is being rewritten by hand so the blue team can use it. A patch waiting on a change-approval window that's longer than the exploitation window itself
Felicis-Led Series A Backs Telemetry Correlation Across Cloud, Identity, EndpointsArtemis, a New York startup led by former Amazon GuardDuty product leader Shachar Hirshberg, emerged from stealth with $70 million to build an AI-driven SIEM alternative that correlates telemetry across enterprise environments, tailors detections and speeds investigations.
Once CrowdStrike's nemesis, Microsoft is now a collaborator. A shared interest in Formula 1 helped thaw the years-long fierce rivalry.
Huntress researchers uncover campaign exploiting vulnerabilities to steal data using Elastic Cloud as a data hub
Criminal IP now integrates with IBM QRadar SIEM and SOAR to bring external IP-based threat intelligence directly into detection and response workflows. See how risk scoring and automated enrichment help SOC teams prioritize high-risk IPs and accelerate investigations without leaving QRadar. [...]
Cyber resilience means anticipating threats, detecting them early, and recovering fast when incidents occur. Wazuh shows how its open source SIEM and XDR unify visibility, detection, and automated response to strengthen proactive defense. [...]
Technical details and a public exploit have been published for a critical vulnerability affecting Fortinet's Security Information and Event Management (SIEM) solution that could be leveraged by a remote, unauthenticated attacker to execute commands or code. [...]
Cyderes Aims to Fuse Identity, AI and Risk Signals in One Platform With Lucidum BuyCyderes has acquired Lucidum to expand its identity threat detection capabilities. Lucidum’s unique tagging and data integration will strengthen Cyderes' AI engine, enabling earlier detection of threats and human risk-based response by unifying off-SIEM telemetry with identity data.
Poor IT hygiene, such as unused accounts, outdated software, and risky extensions, creates hidden exposure in your infrastructure. Wazuh, the open-source XDR and SIEM, shows how continuous inventory monitoring across endpoints helps teams spot drift and tighten security. [...]
From Detection to Resolution: Why the Gap Persists A critical vulnerability is identified in an exposed cloud asset. Within hours, five different tools alert you about it: your vulnerability scanner, XDR, CSPM, SIEM, and CMDB each surface the issue in their own way, with different severity levels, metadata, and context
By delivering both XDR leadership and Agentic SIEM innovation under one platform, Trend is redefining what security operations can be.
Pete Harteveld Seeks to Strengthen Security Operations With Programmatic ApproachNew Exabeam CEO Pete Harteveld emphasizes securing AI agents, minimizing tool sprawl and promoting defined security outcomes. His roadmap builds on recent success and aims to deliver programmatic SIEM and UEBA innovations to improve analyst efficiency and benchmarking.
Pete Harteveld Seeks to Strengthen Security Operations With Programmatic ApproachNew Exabeam CEO Pete Harteveld emphasizes securing AI agents, minimizing tool sprawl and promoting defined security outcomes. His roadmap builds on recent success and aims to deliver programmatic SIEM and UEBA innovations to improve analyst efficiency and benchmarking.