Cloud Threat Detection (Azure)
Cloud Threat Detection (Azure)
Identify, detect, and respond to advanced threats in Microsoft Azure and hybrid environments. We build custom detections that your tools alone can’t provide.
What We Offer
Defender for Endpoint, Identity & Cloud
We configure, tune, and validate detections across Microsoft Defender XDR, covering endpoint, identity, cloud apps, and email.
Custom KQL Detection Engineering
From behavioral analytics to chaining logic, we write and test KQL rules tailored to your environment, mapped to MITRE ATT&CK and threat intel.
Microsoft Sentinel Content Development
Use cases, analytics rules, watchlists, hunting queries, we deploy what your SOC actually needs, not just what the workbook suggests.
Cloud Misconfiguration & Attack Surface Reviews
We audit your Azure security posture, uncover risky defaults, exposed services, and lateral movement paths attackers can exploit.
Integration with Red/Purple Team Findings
We translate offensive findings into actionable detections, bridging the gap between attack simulation and defense readiness.
Why It Matters
Most organizations invest in Microsoft security tools, but only use a fraction of their real detection power.
Licensing Defender or Sentinel doesn’t mean you’re protected. The difference lies in how you configure, tune, and respond
At ODO Cybersec, we don’t just turn on default rules, we build custom detections based on your actual environment, user behavior, and threat landscape.
Why clients trust us
We reduce noise and false positives, so your SOC focuses only on what matters
We map detections to real adversary behavior (MITRE ATT&CK, D3FEND)
We expose identity abuse paths invisible to EDR We know how attackers move in Azure and how to catch them
The cloud changes everything : visibility, identity, exposure. We make sure your detection capabilities change with it.
Our Azure Threat Detection Methodology
We begin by reviewing your Azure and hybrid environment: identities, roles, endpoints, Defender configurations, Sentinel setup, and current detection posture. We map exposed paths and visibility gaps.
We develop and test custom KQL rules, analytics, and hunting queries tailored to your infrastructure, noise thresholds, and attacker behaviors.
We document, prioritize, and implement the final rule set in Sentinel & Defender, including watchlists, workbooks, and automation suggestions then train your team on usage and tuning
Success Metrics
A technology client migrated to Microsoft Defender XDR and Sentinel but struggled with alert overload and missed lateral movement in hybrid AD.
ODO Cybersec stepped in to review the detection strategy and log coverage.Over two weeks, we identified 47 blind spots, including unmonitored service principal abuse, token replay gaps, and missing KQL rules for Defender for Identity.
We then built 38 custom detections mapped to MITRE ATT&CK and delivered 3 enriched workbooks with alert logic, behavioral baselines, and suppression tuning.
After deployment, the SOC reduced false positives by 68% and cut response time by over 50%, gaining full coverage of identity and cloud signals.
Other Services
