May 13, 2026

    Kindling Agentic Context Engine Cuts Alerts by 90% Through Auto-Triage

    A finding fires at 2am. Your analyst opens the alert and starts from scratch. No context, no guidance, just raw log data and a clock ticking. By the time they've pieced together what happened, the window to respond has already narrowed. And that's assuming someone was awake to pick it up in the first place.

    For lean IT and security teams, this is the reality behind every security alert. Not just the threats but all of them. Because without a first pass, every finding gets the same treatment regardless of whether it's a real attack or background noise. The volume doesn't care how big your team is.

    Meet Kindling: AI-Powered Findings Intelligence

    Kindling is an agentic context engine that automatically triages and investigates every finding before it reaches your team, so you see prepared cases, not raw alerts. Its two-stage analysis correlates activity across cloud, network, endpoint, and identity, then delivers verified, actionable cases complete with a priority score, evidence timeline, and clear next steps. The result is a 90% reduction in alert volume, with every case arriving ready to act on rather than a cold start.

    "On a good day, we'd see 30 to 40 findings come in. After just one week with Kindling, we're down to 11 cases. It's remarkable to see that kind of consolidation.”

    - Matt Timm, Network Operations Center Team Lead, TR Computer Sales

    Context Is Everything

    Kindling draws on 8+ years of platform-wide detection data, your organization’s behavioral baseline, log history, and cross-domain correlation across endpoint, cloud, and identity. A single anomalous login means something different when it's seen alongside prior behavioral patterns, cohort comparisons from similar organizations, and the full history of your environment. That context is what separates a real threat from routine alerts, and Kindling is built to provide it.

    • Scale Without Adding Headcount: With Kindling handling first-pass investigation automatically, your team reviews AI-prepared cases instead of triaging raw alerts. Whether you're a lean IT team managing your own environment or an MSP growing your book of business, you get more coverage without adding headcount.

    • Eliminate Audit Prep Busywork: Kindling surfaces compliance implications alongside every finding, giving your team a running record of how each threat maps to requirements like HIPAA or CMMC without pulling logs manually at the end of the quarter.

    • Sharpen Your Security Over Time: Every triage decision your team makes feeds back into Kindling's scoring system. The more findings you resolve, the better Kindling gets at detecting real threats across your environment.

    "This is what I mean by context enrichment. Kindling shows the 52-week activity and tells you that 90% of the time this kind of finding comes up, you've declared it a false positive. So with a reasonable amount of certainty, you already know this is going to be a false positive, and all the findings that support that conclusion are right there in one place. Instead of clicking around and opening seven tabs to gather context, it's all baked in."

    - Jeremy Aughenbaugh, Security Operations Manager PS Logistics

    How Kindling Delivers Actionable Cases

    Kindling works in two stages to triage every alert before anything reaches your team, so only verified, actionable cases get through. Each case arrives with a complete investigation summary, weighted priority score, and clear guidance on what to do next.

    Stage 1: Deterministic Scoring
    When a finding surfaces, Kindling scores it against Blumira detection data, the last 14 days of your organization’s behavioral baseline, the last year of retained logs, cross-domain activity, and resolution history from similar sized organizations across your industry. Findings that don't meet the minimum priority threshold are filtered out automatically and never reach your team.

    Stage 2: LLM Investigation
    Findings that clear Stage 1 are investigated further. Kindling groups related findings, maps activity to MITRE ATT&CK stages, and assembles the full evidence timeline. If the finding is determined to be benign, it is auto-resolved. If a threat is confirmed, Kindling delivers a prepared case with a priority score and clear response plan to your analyst.

    "The biggest value is being able to look at our historical findings and actually connect the dots. Kindling makes those connections instead of just regurgitating information."

    - Anthony Russo, Information Technology Security Analyst, Mitsubishi HC Capital America

    Get Started With Kindling

    Kindling is available now across all Blumira editions. If you're already a Blumira user, your data is already there waiting for you. Your existing findings flow directly into Kindling with no additional configuration required. For a full walkthrough of findings, cases, and the triage workflow, check out our getting started documentation.

    Tag(s): Blog , Featured , Kindling

    Eric Pitt

    Eric Pitt is a Product Marketing Manager at Blumira, where he works closely with IT teams and MSPs to understand real-world security challenges and strengthen security operations through customer research and market insights.

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