Evidence-Based Phishing Report Triage

Evidence-Based Phishing Report Triage

Evidence-Based Phishing Report Triage

This automation triages reported emails through an initial phishing assessment, targeted indicator enrichment, and confidence-based decision routing. It records the disposition, prepares a reporter response, and either closes the case, requests analyst review, or starts phishing remediation.

Phishing

Triage

Enrichment

Remediation

Trigger

A parsed direct or forwarded email report containing the original message details, reporter information, and extracted indicators triggers the flow.

Outcome

The flow produces a Jira case, a validated verdict and outcome, a reporter response, and either closure, analyst disposition, or phishing remediation.

Trigger

A parsed direct or forwarded email report containing the original message details, reporter information, and extracted indicators triggers the flow.

Outcome

The flow produces a Jira case, a validated verdict and outcome, a reporter response, and either closure, analyst disposition, or phishing remediation.

Before

Analysts had to review each reported email from scratch, decide whether additional indicator checks were needed, and assemble the case record manually. Uncertain reports also required separate coordination for evidence review, analyst decisions, reporter communication, and remediation handoff.

How it works

  1. Receive the parsed report, build a normalized case, and perform an initial whole-email assessment with allowlist and consistency checks.
  2. Skip enrichment for only high-confidence legitimate reports; otherwise verify relevant indicators and route high-confidence or uncertain results through the configured confidence rules and analyst review.
  3. Record the disposition in Jira, prepare the reporter message, and invoke automatic or analyst-approved remediation when phishing is confirmed.

Workflow details

  • Case preparation: The flow receives a parsed email report, normalizes sender information, checks customer-domain and legitimate-sender hints, identifies Reply-To mismatches, and assembles the message, links, domains, IPs, attachments, and body into a traceable case.
  • Tiered assessment: An AI pre-triage reviews the complete email without external lookups. Enrichment is skipped only when the message is judged legitimate with confidence above 0.9; other cases are checked against URL, domain, hash, and IP reputation using VirusTotal and AbuseIPDB, with the final response validated before routing.
  • Decision routing: High-confidence phishing is sent to automatic remediation, while high-confidence legitimate reports are closed. All other outcomes are presented to an analyst in a Teams card with options to remediate, mark legitimate, or ignore; an approved remediation invokes the configured action to delete the email across the tenant and block the sender.
  • Record and response: The workflow creates a Jira case containing the report, pre-triage, final verdict, evidence, indicators, and next step, then returns the verdict, outcome, ticket key, and reporter message. This demonstration uses synthetic evidence and locally replayed Jira responses rather than live service results.

What changed

Every report now follows a consistent guarded route from intake to disposition. Confidence checks automatically determine whether to close the report, enrich it, request a Teams decision, or invoke remediation, while the case record and reporter response are prepared as part of the same workflow.

Work removed

Manually assembling case details, checking whether enrichment is needed, coordinating reputation lookups, preparing Jira ticket content, composing the reporter response, and initiating the remediation handoff.

Expected outcome

Each report receives one standardized case, one evidence-based routing decision, one recorded disposition, and one prepared reporter response, with manual review retained for uncertain cases.

Related flows

Related flows

Explore more workflows with similar topics or tools.

Automated Security Alert Enrichment

This automation runs a complex query against Log Analytics to retrieve Azure Sentinel alerts or other security logs, converts the returned data into JSON, and uses it to update security alerts with additional information. It replaces a manual search-and-update process with a consistent enrichment workflow.

This automation runs a complex query against Log Analytics to retrieve Azure Sentinel alerts or other security logs, converts the returned data into JSON, and uses it to update security alerts with additional information. It replaces a manual search-and-update process with a consistent enrichment workflow.

Explore use case

Explore use case

Automated IOC Fleet Triage

This automation enriches a medium-severity security alert by investigating indicators, alerts, detects, and device telemetry across the environment. It delivers a concise triage summary showing how widely a hash has executed, details for the primary host, and a recommendation on whether the activity is a widespread false positive or an isolated anomaly.

This automation enriches a medium-severity security alert by investigating indicators, alerts, detects, and device telemetry across the environment. It delivers a concise triage summary showing how widely a hash has executed, details for the primary host, and a recommendation on whether the activity is a widespread false positive or an isolated anomaly.

Explore use case

Explore use case

Phishing Email Risk Triage

This automation analyzes reported phishing emails by checking sender reputation, scanning embedded URLs, evaluating attachments, and using an AI agent to determine whether security involvement is required. It consolidates the findings into a report and posts the assessment to a Slack channel for team awareness and action.

This automation analyzes reported phishing emails by checking sender reputation, scanning embedded URLs, evaluating attachments, and using an AI agent to determine whether security involvement is required. It consolidates the findings into a report and posts the assessment to a Slack channel for team awareness and action.

Explore use case

Explore use case

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France

Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France
To embed a website or widget, add it to the properties panel.