Platform · Workflows & Automation

Automation That Actually Closes the Loop

Event-triggered, scheduled, and AI-driven automation that turns findings into fixes, automatically.

0MTTR improvement
0Backlog reduction in 90 days
0Manual tickets created
0Fixes verified by re-scan
The Problem

Findings pile up because nobody owns the fix

Vulnerability backlogs grow for one reason: the journey from finding to fix is manual, fragmented, and slow. Scanners generate thousands of findings. Security teams triage them. But getting the right fix to the right developer, with the right context, on the right timeline? That's where everything stalls.

The problem isn't detection. It's execution. Strobes closes the gap between knowing and doing.

Real Automations

Workflows that run themselves

12 practical automation examples across escalation, compliance, lifecycle management, and AI-driven operations.

Auto-Escalate Critical Findings to Jira

Instantly escalates high-severity findings into your ticketing workflow with full remediation context.

When
on_bug_severity_update
Ifseverity = Critical OR High
Then
Create Jira ticket with context
Notify #security-ops Slack channel

Auto-Tag & Route by CWE

Routes new findings to specialized teams based on vulnerability classification.

When
on_bug_create
IfCWE matches injection family
Then
Add "injection" tag
Assign to AppSec team
Set SLA to 48h

Auto-Assign by Asset Sensitivity

Ensures findings on critical assets reach the right developer immediately.

When
on_bug_create
IfAsset sensitivity = High
Then
Match code owner from repo
Assign finding
Escalate if unassigned after 4h
30+ event triggers|RQL conditions|12+ actions|Cron schedules|6+ AI models
How It Works

Build an automation in four steps

Visual rule builder, no code required. Trigger on any signal, route by ownership, enforce SLAs, and verify the fix.

Step01

Trigger

Fire on finding ingestion, severity change, SLA breach, or a fixed schedule. Every event is fair game.

Triggers
New critical findingEvent
SLA breach (any tier)Event
Daily 09:00 UTCSchedule
Manual runOn-demand
Step 01 of 04
Step02

Enrich

Add asset context, code-owner lookup, threat intel, and severity recompute before any side effect runs.

Enrich step
CODEOWNERS lookupOK
EPSS refreshOK
Tier from CMDBOK
KEV matchOK
Step 02 of 04
Step03

Act

Create a Jira / GitHub / ADO ticket with full context, ping the right channel, page on-call if needed.

Actions executed
Jira#sec-prodSlack DMPagerDuty
JIRA-3128 created with PoC + repro
Posted to #sec-prod with @owner
Paged on-call (P1 only)
Step 03 of 04
Step04

Verify

Re-scan automatically once the fix lands. Close on evidence, not assertion.

Pipeline
Triggered
Ticket created
Awaiting fixRUNNING
Verified
Step 04 of 04
How Strobes Is Different

Automate every step of remediation

Auto-Ticketing

Findings automatically create tickets in Jira, Azure DevOps, or GitHub Issues with full context, reproduction steps, remediation guidance, and severity-based SLAs.

SLA Tracking

Define SLAs by severity, asset criticality, or business unit. Timers start automatically. Multi-level escalation on breach to team leads, managers, and executives.

Ownership Assignment

AI agents assign findings to the right developer based on code repository analysis, asset ownership mapping, and team routing rules.

Approval Workflows

State approval workflows enforce governance before status transitions. Configurable approval gates, parallel execution paths, and audit trails.

Remediation Verification

After a developer closes a ticket, AI agents re-scan the target to validate the fix. Evidence-based closure, not trust-based.

Agent-Driven Automation

LLM-powered agents handle intelligent routing, context enrichment, and escalation decisions. Multi-step workflows triggered by events, schedule, or manual action.

Remediation Comparison

What Others Do vs What Strobes Does

Feature
Strobes
Others
Ticket creation
Auto-created with full context, repro steps, and remediation guidance
Manual copy-paste into ticketing tool
Ownership assignment
AI matches code owners via repo analysis
Generic security inbox or manual triage
SLA enforcement
Auto-escalation chains with multi-channel alerts
SLAs on paper, no enforcement
Fix verification
Automated re-scan with evidence-based closure
Closed based on developer assertion
Reporting
Board-ready with verified remediation metrics
Ticket counts that may not reflect actual risk
Security professional
Customer Story
98%
Triage noise eliminated
The five-phase CTEM framework ends with Mobilize, the phase where findings become fixes. Most vendors cover Discover and Prioritize well. Almost nobody handles Mobilization properly. Our remediation backlog dropped 70% in 90 days after Strobes automated the entire loop: auto-ticketing, intelligent ownership, SLA enforcement, and fix confirmation. Engineering teams now treat security findings like production bugs because the accountability is built in.

VP of Information Security

CISO · E-commerce Platform

FAQ

Frequently Asked Questions

The remediation backlog ends here

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