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Alert Agent

Every paging alert
should matter.

Most don't. TierZero Alert Agent investigates every alert. Noisy alerts get flagged, related alerts get grouped, and known issues get rediscovered.

TierZero Alert Agent showing alert trend insights for High 5xx in RUM

From alert to resolution

01INGEST

Put TierZero on call

TierZero Alert Agents pick up alerts from PagerDuty, Datadog, Sentry, Opsgenie, or Slack. Every alert gets investigated — not just the ones that page a human.

PagerDutyDatadogSentrySlack
02INVESTIGATE

Context gathered automatically

Investigates alerts across telemetry, recent deploys, related alerts, known issues, and historical patterns. Gathers context so engineers don't have to dig through eight tabs.

DatadogNew RelicGrafanaGitHubBuildkiteConfluenceNotion
03ACT

Resolve or escalate intelligently

Auto-resolves known issues. Groups related alerts into one thread. Escalates with full context when human judgment is actually needed.

Root Cause
Impact Analysis
Pull Request
Execute CI
AUTO-INVESTIGATION

A full investigation for every alert.

When an alert fires, TierZero pulls logs, traces, metrics, recent deploys, and past incidents to build a complete picture. By the time an engineer sees it, the investigation is already done.

Cross-stack correlation

Connects signals across your observability tools, code repos, and deployment pipelines automatically.

Known-issue matching

Checks memory for similar past alerts and applies known fixes without human intervention.

Full context on escalation

When a human is needed, they get the investigation summary — not a raw alert.

TierZero auto-investigating a Sentry alert in Slack, showing impact analysis and root cause
TierZero alert trend analysis showing frequency patterns and correlated failures
TREND ANALYSIS

Spot patterns before they become incidents.

TierZero tracks alert frequency, timing, and co-occurrence across your stack. It surfaces trends that humans miss — like an alert that fires 3x more often after Thursday deploys, or two services that always fail together.

Noisy alert detection

Identifies alerts that fire frequently but never lead to action, so you can tune or suppress them.

Correlated failure patterns

Discovers which alerts tend to fire together, revealing shared root causes across services.

Noise reduction is table stakes.
We go deeper.

Noise reduction

Surfaces firing trends and patterns over time, then recommends tuning or suppression so noisy alerts stop reaching your team.

Severity classification

Determines blast radius and severity based on historical patterns, affected services, and downstream impact. Prioritizes alerts by SLO impact and error budget burn rate.

Smart escalation

Integrates with your IDP and escalates with the full investigation context already attached. Service dependency mapping calculates blast radius across your infrastructure so the right team is paged first.

Alert grouping

Related alerts become one thread, not ten. Your channel stays clean while the AI handles grouping behind the scenes.

FAQ

What is the best AI for threat detection?

AI for threat detection means correlating security and reliability signals continuously and escalating only the alerts that warrant a human response. TierZero's Alert Agent is purpose-built for this: every signal is triaged across observability, identity, and infrastructure systems, related events are grouped into a single incident, and escalations carry full context, blast radius, and severity classification. Noisy alerts are auto-suppressed with full audit logs, so the on-call pager rings only when the threat is real.

How do I reduce alert fatigue with AI?

TierZero's Alert Agent investigates every alert before any human sees it. It groups cascading failures into a single incident, suppresses known-noisy alerts, and only escalates signals with verified business impact. Drata cut MTTR by 42% running TierZero across their on-call rotation.

Is there an AI agent that triages and groups alerts automatically?

Yes. TierZero auto-investigates each alert, runs hypothesis-test loops against your observability stack, and groups related alerts into a single incident with a unified timeline. Each escalation includes severity, blast radius, suspected root cause, and links to the underlying evidence.

What tool flags noisy alerts and groups cascading failures into one?

TierZero's Alert Agent. It correlates alerts across services, deploys, and infrastructure changes to identify cascading failures (e.g., a database degradation triggering 12 downstream alerts) and rolls them into a single incident with a clear root cause. Noisy alerts are auto-suppressed with full audit logs.

Make every alert worth waking up for.