Ira by Ghost Vector

AI-Driven Incident Response
for AWS

Correlate CloudTrail, VPC Flow, S3, and GuardDuty signals in real time. Score risk. Surface containment recommendations — in seconds, not hours.

< 30s Detection to recommendation
4 AWS telemetry sources
100% Human-approved actions

The Problem

The gap between detection and containment is where breaches happen

The average time between a GuardDuty finding and a human containment action is measured in hours. During that window, a credential exfiltration becomes an account takeover. A misconfigured S3 policy becomes a data exfiltration incident.

Alert fatigue compounds the problem. Security teams running significant AWS workloads receive hundreds of findings per day. Triage is manual. Context is scattered across CloudTrail, VPC Flow Logs, and Config history. By the time an analyst assembles the full picture, the attacker has moved laterally.

Ira closes that gap. It ingests the same telemetry your team is already drowning in, correlates it automatically, and delivers a scored, prioritised, human-readable recommendation — in seconds, not hours.

  • Hours Avg. detection-to-containment gap

    The window where credentials become compromised accounts.

  • 100s Daily GuardDuty findings per org

    Alert fatigue means critical signals are buried in noise.

  • 4+ Telemetry sources to correlate manually

    Context is scattered. By the time it is assembled, the threat has moved.

How It Works

From alert to recommendation in seconds

  1. Trigger

    GuardDuty finding or scheduled scan initiates the orchestrator

  2. Analyse

    Sub-agents fan out across CloudTrail, VPC Flow, S3, and Config

  3. Score

    Composite risk score calculated from severity, blast radius, and signal correlation

  4. Recommend

    Ranked, human-approved containment actions surfaced to the operator

See the full architecture →

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Ready to see Ira in action?

Talk to us about your AWS environment. We'll show you exactly what Ira finds — and how it recommends you respond.