Verascend™ Incident System Available in: Graylog Security | Compare Plans
Alert fatigue is a math problem. Tuning is a workaround. Graylog’s Verascend Incident System turns risk-scored events into verified incidents automatically. Analysts investigate. They don’t filter.
The Verascend™ Incident System combines risk-scoring algorithms, intelligent event consolidation, and agentic workflows, turning correlated signals into confirmed incidents before analysts open a case.
The High-Risk Asset Triage Agent takes over the manual work, running replay and event procedure searches to show how each event feeds a user or system’s overall risk.
Shift from individual alert triage to case-based triage. Every verified incident opens with a complete evidence trail and initial assessment already attached, so analysts start investigating instead of gathering context first.
Cuts alert fatigue by finding true incidents inside the existing volume instead of tuning down detection rules. Keeps full visibility into risk that legacy alert-tuning would otherwise hide.
Verascend™ Incident System Available in: Graylog Security | Compare Plans
Confirms which correlated events represent a real incident before an analyst opens a case. De-escalates false positives automatically using shared asset, user, and adversary-pattern correlation.
Verascend™ Incident System Available in: Graylog Security | Compare Plans
Opens every case with the full evidence trail already attached, so analysts start investigating instead of gathering context. Lets analysts run additional search queries from inside the case, with full visibility and full control over every decision.
Verascend™ Incident System Available in: Graylog Security | Compare Plans
Summarizes closed investigations and recommends next steps automatically, cutting write-up time from hours to minutes. Shows its reasoning at every step: the prompt, the tool calls, and the evidence behind each recommendation.
Verascend™ Incident System Available in: Graylog Security | Compare Plans
Verascend™ Incident System Available in: Graylog Security | Compare Plans
Included in Graylog Security under your existing license, with one SKU and one price. Consolidates capabilities that used to live in separate parts of the platform into one unified engine.
Verascend™ Incident System Available in: Graylog Security | Compare Plans
The Verascend™ Incident System combines risk-scoring algorithms, intelligent event consolidation, and agentic workflows, turning correlated signals into confirmed incidents before analysts open a case. The system does the work. The analyst makes the call.
Instead of tuning down or disabling alert rules, the Alert Fatigue Agent finds true incidents inside the existing volume of scored events, so full coverage stays intact while the noise around it clears.
The High-Risk Asset Triage Agent correlates scored events by shared assets, users, IP addresses, and known adversary patterns to confirm whether an event is a real incident before it reaches an analyst.
No. Verascend removes the manual correlation and triage work that happens before an investigation starts. Analysts still run every investigation, make every remediation decision, and stay in control of the case.
It’s included. Verascend ships as a standard part of Graylog Security, under your existing license.
No. Verascend Incident System is built for security teams and is available in Graylog Security only.
Every Verascend investigation produces a structured, timestamped audit trail analysts can use as evidence during an audit. Graylog is also extending the same detection and correlation engine to surface compliance-relevant incidents alongside security ones.
Most agentic SOC tools point an AI agent at raw, unstructured log data and ask it to connect every event to every other event, which is a lot of context for an agent to reason over and a lot of room for error. Graylog normalizes and classifies data first, and its asset model already tracks the identity and risk behind every event, so Verascend’s agents reason over a small, targeted set of facts instead of an entire data lake.