Triage faster with more signal and less noise
Exabot Triage centralizes alerts from across your stack, enriches them with deep context directly from the source, automatically reduces false positives and duplicates, and delivers clear, explainable decisions for rapid action and clean handoffs across tiers.

Trusted by SOCs from next-gen startups to global enterprises
Intelligent triage that reduces false positives and time‑to‑decision
Exabot Triage correlates signals across IaaS, SaaS, identity, endpoints, and code to suppress false positives automatically, prioritize what matters, and route the right work to the right owner, so analysts can handle more alerts and handoffs include richer cases.
Reduced false positives and noise
Exabot Triage collapses related alerts into a single finding, removes duplicates, and applies environment‑aware analysis and Business Context Rules to filter out benign activity, cutting false positives by up to 80% so analysts focus on distinct, high‑value work.


Deep contextual enrichment across your stack
Exabot pulls identity, session, configuration, and activity data from cloud, SaaS, code, and endpoint systems to answer the questions a senior analyst would, what happened, who did it, where, when, and whether it matches normal behavior, then prioritizes the alert and summarizes the investigation for rapid triage.
Explainable decisions you can trust
Every triage outcome includes a concise, plain‑English rationale, the key indicators that drove the decision, the affected principals and resources, and links to logs and evidence. Your analysts and auditors can see exactly why an alert was suppressed, escalated, or auto‑resolved.


Automated and human-in-the-loop workflows to speed up responses
When confirmation is needed, Exabots reach out via messaging applications to quickly validate suspicious activity with users and managers or kick off workflows, capturing responses and updating case status automatically. Analysts get fewer tickets to chase.
Featured detection capabilities
Advanced detection features designed to surface real threats without additional noise

Featured triage capabilities
Purpose‑built to reduce noise and accelerate decisions

Noise Reduction Engine
Automated false‑positive reduction and duplicate suppression

Correlated Findings
Collapse multi‑source alerts into one

Attack Chain
Alert chaining across sources to tell full attack stories

Business Context Rules
Encode environment‑specific knowledge to cut benign alerts

Historical Analysis
Leverage historical results to improve future outcomes
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