Security Across the Modern Attack Surface
Extend security beyond SIEM and endpoint detection with integrated protection for identity, email, network, OT, cloud, AI and autonomous SOC operations.
Microsoft Sentinel is a strong cloud-native SIEM built around the Microsoft ecosystem. But a modern SOC needs to see across every vendor, network, identity, cloud and OT environment, unified and correlated in real time.That's where Seceon pulls ahead.
Microsoft Sentinel has evolved from a cloud-native SIEM into a security operations platform, bringing SIEM, SOAR, UEBA, threat intelligence, and XDR capabilities together across the Microsoft security ecosystem.
Seceon took a different approach: OTM was built natively on one AI/ML architecture combining SIEM, XDR, SOAR, UEBA, NDR, threat intelligence, identity and OT/IoT security.
For teams that want complete, AI-driven security operations across Microsoft and non-Microsoft environments, with costs that do not rise with every new log source, that architecture is the whole difference.
Compare Seceon and Microsoft Sentinel capability by capability. Click each category to see how architecture, deployment, AI and cost models differ.
| Capability | Seceon | Microsoft Sentinel |
|---|---|---|
| Platform architecture | One AI/ML architecture: SIEM + SOAR + UEBA + NDR + XDR + TI, expanding into ITDR, AI governance and email. | Cloud SIEM on Azure Log Analytics; XDR, OT and cloud protection come from separately licensed Defender products. |
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Why it matters: one data model and one license cover the SOC, instead of assembling it from several SKUs. |
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| Multi-vendor coverage | Correlates Microsoft and non-Microsoft telemetry equally: any firewall, EDR, identity provider or cloud. | Broad connector catalog; deepest, lowest-cost coverage is for Microsoft sources, while third-party data is billed as ingested. |
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Why it matters: AWS, Google Cloud, Fortinet, Cisco and CrowdStrike data get first-class analytics, not a premium per gigabyte. |
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| Capability | Seceon | Microsoft Sentinel |
|---|---|---|
| Network detection (NDR) | Native NDR, NBAD and NTA from flow and packet data, included. | No native NDR; network visibility relies on ingested firewall logs or third-party NDR tools. |
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Why it matters: lateral movement and exfiltration are often invisible in logs alone. |
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| SOAR / automation | Native aiSOAR with GenAI playbooks and automated containment, no extra metering. | Automation rules plus playbooks built on Azure Logic Apps, billed as separate Azure consumption. |
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Why it matters: playbooks run on the same data behind the detection, without a second usage bill. |
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| UEBA and identity | Built-in UEBA plus aiIDGuard for AD, Entra ID, Okta, AWS IAM and SaaS. | UEBA included; identity threat protection for Entra ID and AD via Defender for Identity. |
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Why it matters: hybrid identity estates get correlated identity threat detection beyond the Microsoft directory. |
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| Capability | Seceon | Microsoft Sentinel |
|---|---|---|
| Deployment model | On-prem, hybrid, any cloud or fully air-gapped; typically detecting threats within days. | Runs only as a service in Azure (commercial and government regions); no on-prem or air-gapped option. |
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Why it matters: sovereign, disconnected and data-residency-bound environments get the full platform. |
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| Pricing structure | Per-asset pricing with SIEM, SOAR, UEBA, NDR and TI included. | Consumption pricing per GB ingested, plus retention, query, Logic Apps and some AI features billed separately. |
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Why it matters: budgets stay predictable as log volumes grow, with no end-of-month ingestion surprises. |
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| Cost control trade-offs | No need to filter or drop logs to protect the budget. | Teams often tier, filter or exclude verbose sources such as firewall and DNS logs to control spend. |
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Why it matters: the logs dropped to save money are often the ones needed during an investigation. |
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| Capability | Seceon | Microsoft Sentinel |
|---|---|---|
| AI-driven detection | The Awareness Engine applies ML/AI models continuously across all ingested data, with no rules to write. | Detection relies mainly on KQL analytics rules plus built-in ML; Security Copilot assists investigation. |
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Why it matters: behavioral baselining catches novel attacks without a team of KQL detection engineers. |
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| Threat intelligence | TI360 combines 100+ intelligence sources, auto-correlated against detections, with no separate license. | Microsoft Defender Threat Intelligence is strong; TI matching often requires configuring rules and connectors. |
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Why it matters: intel wired into detection logic is applied to every alert automatically. |
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| Alert noise reduction | Correlating logs, network, identity and cloud in one engine collapses related events into high-confidence incidents. | Incident correlation improves with Defender XDR; noise depends on rule quality and ongoing tuning. |
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Why it matters: lean SOC teams investigate threats instead of maintaining rules and triaging noise. |
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| Capability | Seceon | Microsoft Sentinel |
|---|---|---|
| Compliance reporting | aiCompliance CMX360 automates continuous evidence and reporting across 40+ frameworks, straight from platform data. | Workbooks and solutions support compliance reporting; broader GRC typically uses Purview or other tools. |
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Why it matters: audit evidence covers on-prem, multi-cloud and OT, not just the Microsoft estate. |
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| OT / IoT security | aiSecOT360 runs natively in the same platform and SOC. | OT visibility comes from Defender for IoT, a separate product. |
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Why it matters: plant and infrastructure anomalies are correlated with IT activity in one incident. |
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| MSSP / multi-tenant support | Native multi-tier multi-tenancy and white-label options, with per-asset economics for each tenant. | Multi-tenant management via Azure Lighthouse and Defender portal; each tenant carries its own Azure consumption. |
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Why it matters: MSSPs can price services predictably and grow margin per tenant. |
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SIEM, XDR, NDR, SOAR, UEBA, identity protection and AI security run on one AI/ML-driven platform, so your team works from one data set, one console and one response workflow.
Extend security beyond SIEM and endpoint detection with integrated protection for identity, email, network, OT, cloud, AI and autonomous SOC operations.
SERA AutoSOC investigates, validates and responds to incidents on its own, carrying routine cases from triage to verdict to containment and escalating only what needs an analyst.
Run many customer environments from one platform with tenant isolation, per-customer policies and reporting, and centralized detection, investigation and automated response.
Ingest telemetry from firewalls, endpoints, cloud, identity and OT through APIs, collectors and syslog. Keep the tools you have invested in and correlate them in one place.
A cloud-native architecture that scales horizontally, deployable on-premises, in the cloud, hybrid or air-gapped, with detection value from the first days of onboarding rather than months of tuning.
Detect network threats, lateral movement and anomalous activity while extending visibility into industrial environments.
TI360 combines broad intelligence sources and IOC context with security telemetry to improve detection and investigation.
Extend the same security telemetry into compliance, AI governance, risk and security performance workflows.
aiTRiSM360 monitors AI usage, detects risks, and enforces governance across users, endpoints, and applications.
UIDGuard360 unifies identity visibility, risk scoring and threat detection across hybrid and multi-cloud environments.
aiSecurity Email360 detects phishing, BEC, malicious links and suspicious email activity while identifying high-risk users.
Questions from teams evaluating Seceon against Microsoft Sentinel.
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