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Can Your SIEM Do This? Most Can’t—Here’s Why

  • Jun 03, 2025
  • Kevin Binder
  • 3 minutes to read

Table of Contents

    The security information and event management (SIEM) market is flooded with options—94 vendors and counting. Yet security teams are still drowning in false positives, wasting time chasing meaningless alerts, and stitching together incomplete stories from raw logs. Most SIEMs create more problems than they solve. Some lock you into rigid ecosystems. Others struggle to keep up with modern threats. Your SIEM should work for you—not against you.

    61% of security operations center (SOC) teams handle more than 1,000 alerts a day, and 4% face over 100,000, according to the RSA Conference 2023 Survey. That’s not security. That’s chaos. And with new data sources taking weeks to integrate, even well-intentioned teams fall behind. Meanwhile, analysts waste half of their time chasing alerts which on average include a 45% rate of false positive (Ponemon).

    New-Scale SIEM From Exabeam: A SIEM That Sees Everything

    Data is the foundation of security. If your SIEM can’t parse, normalize, and analyze logs accurately, it can’t detect threat effectively. Exabeam delivers industry-leading fidelity with thousands of pre-built log parsers and a Common Information Model (CIM) that standardizes data across sources—so your detections fire faster and with more accuracy.

    Unlike closed-system SIEMs that lock you into their ecosystem, Exabeam integrates with your existing stack. Prefer best-of-breed tools? Exabeam works with what you already use—no lock-in, no limitations. If you have tools we don’t yet support, custom REST API collectors make it easy to close the gap—often without professional services.

    Full attack chain visibility comes standard with Attack Surface Insights and True Identity. Our patented session-based model logs stitches together into real-time threat timelines—even if attackers switch credentials, IPs, or devices.

    Smarter Threat Detection. Faster Investigations.

    Traditional SIEMs rely on correlation rules and threat intelligence feeds—good for known threats, but ineffective against unknown techniques. Exabeam blends correlation logic, real-time threat intelligence, and advanced user and entity behavior analytics (UEBA) to detect both known and new threats.

    We pioneered UEBA in 2012. Others may claim it, but few deliver. Without behavioral baselining, most SIEMs fail to detect credential misuse, insider threats, zero-day exploits, or lateral movement. Exabeam does.

    • 62% of breaches involve compromised credentials.
    • Exabeam ranks and prioritizes threats using multi-layered risk scoring.
    • Automated detection grouping consolidates related alerts into a single case, dramatically speeding up investigations.

    One Workbench. One Interface. Maximum Productivity.

    SOC teams are overwhelmed by tools and tabs. Threat Center simplifies the analyst experience by combining detection, triage, investigation, and response into a single workbench.

    Customers report up to 51% faster investigation times using our session data model. With a cybersecurity talent shortage impacting 71% of organizations, Exabeam automates evidence collection, offers AI-generated threat summaries, and supports natural-language-powered searches to lighten the load and upskill junior analysts.

    Open. Automated. Effortless.

    Exabeam is the first SIEM to fully support the OpenAPI Standard (OAS). That means faster, easier integration with your tools. No-code and Python-based playbooks enable automation at any skill level, with built-inversion control and testing to ensure reliability and scalability.

    Meet Exabeam Nova: Your AI-Powered Force Multiplier

    Exabeam Nova is a built-in, multi-agent AI experience that supercharges your SOC—no extra cost, no disconnected tools. It automates investigations, enriches detections, classifies threats, and provides actionable recommendations.

    Unlike traditional AI assistants, Exabeam Nova doesn’t just wait for prompts; it acts. It helps:

    • Detect unknown threats with behavioral analytics
    • Automate evidence collection and analysis
    • Guide analysts through next steps with prescriptive advice
    • Track MITRE ATT&CK® coverage and recommend improvements

    With natural language processing (NLP), analysts can query logs, generate reports, and build dashboards with plain language—voice or text.

    Outcomes-Focused Security Operations

    Exabeam isn’t just about alerts; it’s about results. Outcomes Navigator helps teams understand and improve their ATT&CK coverage by showing where log data is strong or weak, which use cases need attention, and how to optimize detection effectiveness. Instead of chasing alerts, your team gets a clear path to measurable improvement.

    Can Your SIEM Do This?

    Your SIEM should make your job easier—not harder. Exabeam is built for real security teams who need real help.

    The New-Scale Security Operations Platform: Key Takeaways

    • Sees the full attack chain in real time with automated timelines
    • Uses AI and UEBA to detect both known and unknown threats
    • Easily integrates with existing tools through a standards-based, open API approach
    • Empowers the SOC with AI-driven insights and automation
    • Delivers measurable results with outcomes-focused security operations

    Most SIEMs leave your team overwhelmed. Exabeam shows them what matters.

    Most SIEMs waste your time. Exabeam automates your workflows.

    Want to explore how Exabeam uses multi-agent AI and behavioral analytics to streamline investigations, prioritize threats, and empower analysts? Read the Exabeam Nova feature brief.

    Kevin Binder

    Kevin Binder

    Senior Product Marketing Manager | Exabeam | Kevin Binder is a cybersecurity marketing professional based in Morgan Hill, CA. Kevin has over 20 years of experience in information security marketing with companies including Amazon Web Services, Citrix Systems, and Nortel Networks. In his previous roles, Kevin was responsible for go-to-market strategy for emerging technologies such as cloud-based security services, mobile device management, and user-behavior analytics. He received a B.S. degree in Managerial Economics from UC Davis. In his free time, Kevin enjoys spending time with family and friends, sporting events, and golf.

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