Company Profile

Shield53 is a Canadian cybersecurity services firm that provides SOC-as-aservice, incident response, virtual CISO, and infrastructure security supportto clients across various industries, including healthcare, finance, education,and manufacturing.

Chris Stewart founded Shield53 after leading a 130-client managed securityservice provider (MSSP) and responding to over 300 ransomware incidents.His key insight: most breaches weren’t inevitable, they were the result ofmissed signals and burned-out analysts.

He built Shield53 to streamline detections and protect organizations againstbreaches. As his client base expanded, the team needed a way to scaleinvestigations without hiring or falling back on brittle SOAR setups.Dropzone lets them do both.

Challenges

Shield53 was looking for a solution to the following challenges:

Problem Description
High Alert Volume Across Diverse Client Environments Each new client brought its own infrastructure, tooling, and threat surface, yet the alert queue funneled through a small, centralized team.
Time-Intensive Triage With Fragmented Context Determining the legitimacy of an alert required stitching together context from multiple systems: user roles, device types, subnets, authentication patterns, and threat intelligence feeds.
Analyst Fatigue and Diminishing Focus Even with structured triage rotations, the repetitive nature of alert investigation was draining cognitive resources.
Limited Capacity for Proactive Security Work Manual alert triage takes a lot of time that could be spent tuning detections, running threat hunts, or improving coverage across clients.
Inflexibility and Overhead of Traditional Automation Tools Playbook-driven SOAR solutions were evaluated but ultimately rejected due to high implementation and maintenance overhead.

Selection & Implementation

It took Shield53 less than 30 minutes to get DropzoneAI running. No playbooks, no scripting, just API keysand a connection to CrowdStrike, Microsoft Defender,Entra ID, and internal asset inventory.

“We had instant results. We tossed in some API keys,and Dropzone started working right away. For a small,nimble team, that kind of low-maintenance setup is ahuge win,” says Stewart.

Within minutes, Dropzone AI was triaging alerts withthe same rigor as a Tier 1 analyst, stitching in useridentity, subnet data, and threat intel, and sendingresults directly into JIRA.

Today, there is no need for custom playbooks or SOARworkflows. Dropzone’s output includes full investigationswith conclusions that analysts can act on. High-priority alertinvestigations are escalated via AlertOps, and conversationstake place in Microsoft Teams.

Shield53 also uses Dropzone AI to automate containmenttasks, such as isolating endpoints or disabling compromisedaccounts according to client policies and predefined usecases approved with their clients.

With Dropzone AI running triage, analysts spend just 1–4hours per shift on alerts, reclaiming time for higher-impactsecurity work.

Benefits Realized with Dropzone AI

Cut 15–20 Minutes 
from Every Alert

Before Dropzone AI, analysts had to log in to customer environments throughVPNs, fetch user data from Microsoft Entra ID, correlate IP addresses, andmanually check EDR telemetry. Now, each alert investigation comes preloadedwith user identity, subnet, device info, and relevant IOCs ready to review andact on in JIRA.

Handled 100% of Alerts 
with the Same Team

Shield53 now processes 100% of incoming alerts across healthcare, financial,education, and manufacturing clients without increasing team size. Dropzonehandles investigations in parallel and scales automatically, even during spikesin alert volume.

Auto-Isolated Endpoints 
and Disabled Accounts

Shield53 configured Dropzone to take actions like isolating noisy endpoints ordisabling compromised accounts based on specific client conditions. Thesewere previously manual and inconsistent. Now they’re fast, repeatable, andlogged through existing workflows.

Fits Directly Into 
Existing Workflows

Dropzone plugged into existing tools with no workflow disruption. Shield53didn’t need to change how they worked; everything flowed into JIRA,AlertOps, Teams, and their existing EDR stack.

Shifted Analyst Time to 
Threat Hunting and Tuning

With Dropzone handling triage, analysts reclaimed hours each week to tunedetection logic, monitor attack surfaces, and run threat hunts tasks thatreduce risk, but often got pushed aside due to alert load.

Key Performance Indicators (KPIs) and Results:

All incomingalerts triaged automatically across multiple client environments

Saved 15–20 minutes saved per alert, eliminating repetitive manual tasks.

Containment actions automated based on pre-approved policies.

Integrated withcore tools inunder 30 minutes, requiring no scripting or playbooks.

More time for proactive security
such as tuning detections, improving coverage, and threat hunting.

Partnering to Operationalize
Automation Across Clients

Shield53 works closely with Dropzone to refinedeployments, adapt logic across clients, and shape shareduse cases based on years of incident response knowledge.When Shield53 needed to configure response actions, theDropzone team helped. A tight loop of feedback, iteration,and implementation gives Shield53 confidence in both theplatform and the people behind it.

Self-Guided Demo

Test drive our hands-on interactive environment. Experience our AI SOC analyst autonomously investigate security alerts in real-time, just as it would in your SOC.
Self-Guided Demo
A screenshot of a dashboard with a purple background and the words "Dropzone AI" in the top left corner.