How an E-commerce Brand Unified Security Across M365 and AWS
Secure.com helped the company reduce manual handoffs, bring fragmented security context together and create a clearer path from alert or cloud finding to action.
Company Profile
E-commerce
Cloud-first
Microsoft 365 + AWS
At a Glance
The company already had strong security controls. The challenge was turning signals from different systems into a consistent response.
Secure.com connected the work across Microsoft 365 and AWS so suspicious activity could be investigated with more context and cloud risks could be prioritized around real exposure.
The challenge: strong tools, but too much manual work between them
The company operated a cloud-first environment across Microsoft 365, AWS and third-party services. The controls were there, but the operating process around them was fragmented.
- One incident could span several consoles. Identity, endpoint, email and collaboration context lived across Defender, Entra, Intune, Exchange and Teams.
- Investigation and response were disconnected. InfoSec could identify what needed to be blocked, but IT still had to find the correct console and execute the action.
- The workflow depended on a very small number of people. Two IT operators carried much of the log review, investigation and blocking workflow.
- AWS risk still required manual prioritization. The team could see assets and findings, but not always which combinations represented the greatest business risk.
A real incident highlighted the gap
In one example, a user's browser initiated a suspicious connection. InfoSec investigated the URL and IP, determined the likely cause and identified what needed to be blocked. The next step still depended on IT going into the relevant system and carrying out the action.
- Suspicious connection
- InfoSec investigates
- Action identified
- IT finds the right console
- Block / remediate
What the company wanted: a workflow that could keep moving without forcing an operator to rebuild the investigation from scratch or wait for the one person who knew where the response belonged.
The solution: connect the investigation and the response
Secure.com sat above the existing Microsoft and AWS stack rather than replacing it. The AI SOC Teammate was applied to the security events creating the most repetitive investigation and handoff work.
Suspicious activity moved from a handoff into one investigation flow
For suspicious URLs, IPs, browser connections and email-related events, the AI SOC Teammate brought the relevant evidence into one case, enriched the indicator, added user and asset context, assessed severity and prepared the next response step.
What changed: less context had to be recreated at each handoff, and the response could keep moving even when the usual operator was unavailable.
AWS findings became easier to prioritize around real exposure
For AWS, the challenge was not basic asset visibility. It was deciding which cloud issues actually deserved attention first.
The Cloud Security Teammate correlated asset context with vulnerabilities, misconfigurations and exposure so the team could assess cloud risk in terms of potential business impact rather than isolated findings.
Misconfiguration prioritization
Identify the affected AWS asset, explain what is wrong, why it matters and what should be changed.
Vulnerability prioritization
Use exploitability, internet exposure and asset criticality instead of relying on severity score alone.
Attack-path analysis
Connect multiple weaknesses to show how an attacker could potentially move from an exposed point toward an important system.
Blast radius and remediation focus
Show what could be affected and focus remediation on the change most likely to reduce meaningful exposure.
What changed: the team gained a clearer basis for deciding what to fix first, especially when several cloud findings combined into a more meaningful path to a critical asset.
Business context improved prioritization
The company identified executives, global administrators and several operational and product-related roles as requiring tighter protection. Secure.com allowed that context to influence triage and prioritization, so the same technical event did not have to receive the same priority regardless of who or what was affected.
How severe does the alert or finding look on its own?
What could happen to the business if this event is real, given the identity, asset, exposure and surrounding risk?
The outcome: a more connected and repeatable security operation
The value was not another dashboard. It was reducing the amount of security work the team had to reconstruct manually and making response more consistent across Microsoft 365 and AWS.
“Secure.com helped us turn the security tools we already had into a more connected operation. Our team gets the context around an alert and a clearer path to action without relying on a few people to piece everything together manually.”
Before and after
What this meant for the security team
- Fewer handoffs. More of the investigation context travelled with the case instead of being recreated between teams.
- Less console-switching. The team could work from a more connected view of the user, asset and risk involved.
- More consistent decisions. Common security events could follow a repeatable investigation and approval path.
- More focus on what mattered. Cloud remediation could be prioritized around real exposure and business impact rather than raw finding volume.
The result: less manual security work, clearer priorities and a response process that could keep moving without waiting on one person.