How SIEM helps MSPs reduce noise and stop threats faster
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. [...]
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Background for this topic.
SIEM is an acronym for Security Information and Event Management. It is a comprehensive solution that combines security information management (SIM) and security event management (SEM) to provide real-time analysis of security alerts generated by applications and network hardware.
In the context of information security, SIEM is crucial for detecting, preventing, and responding to cybersecurity threats. It aggregates and analyzes log data from various sources within an organization's IT infrastructure, enabling security professionals to detect patterns of activity that may indicate a security incident or compliance issue. SIEM tools also aid in the correlation of events, alerting security personnel to suspicious activities, and providing a platform for incident response. They support compliance reporting and can improve the efficiency of security operations through automation and centralized reporting. With the ever-evolving landscape of cybersecurity threats, SIEM plays a pivotal role in maintaining the integrity, confidentiality, and availability of information assets.
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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.
AI is transforming cybersecurity—from detecting phishing and insider threats to accelerating response. See how Waziuh, the open-source XDR and SIEM, integrates AI to turn raw security data into actionable insights and smarter threat hunting. [...]
Microsoft on Tuesday unveiled the expansion of its Sentinel Security Incidents and Event Management solution (SIEM) as a unified agentic platform with the general availability of the Sentinel data lake
Funding Supports Threat Hunting, Natural Language to Replace Legacy DetectionVega aims to replace patchwork AI integrations with an analytics layer that enables real-time, natural language detection across distributed data. Backed by Accel, the company will double headcount, improve detection tuning and reduce false positives without a SIEM rip-and-replace required.
Observo Buy Gives Customers Real-Time SIEM Ingestion and Vendor-Agnostic OptionsSentinelOne’s Observo AI buy gives customers a flexible, AI-powered data pipeline for faster detection and SIEM freedom. The acquisition bolsters its AI-native SIEM vision and offers a lower-cost, real-time alternative to traditional solutions such as Splunk.