Exabeam New-Scale SIEM
Cloud-native SIEM for high-volume security data ingestion, detection, investigation, behavioral analytics, risk scoring and automated response.
Evidence-backed comparison of Exabeam New-Scale SIEM and Sumo Logic Cloud SIEM across capabilities, integrations, deployment options, confidence and known limitations.
TechSelectAI compares Exabeam New-Scale SIEM and Sumo Logic Cloud SIEM using recorded product facts rather than a generic winner label. Exabeam New-Scale SIEM has 5 supported, 0 conditional, 3 not yet verified, and 0 not-supported capability records; Sumo Logic Cloud SIEM has 3 supported, 0 conditional, 5 not yet verified, and 0 not-supported capability records. Buyer-specific fit still depends on requirements such as integrations, deployment, security, region and budget.
This neutral summary uses recorded TechSelectAI facts. It is not a buyer-specific Fit Score and does not include sponsored preference.TechSelectAI compares Exabeam New-Scale SIEM and Sumo Logic Cloud SIEM using recorded product evidence rather than user-specific recommendation scoring. Exabeam New-Scale SIEM currently has 5 supported, 0 conditional, 3 unknown/not-yet-verified, and 0 not-supported capabilities. Sumo Logic Cloud SIEM currently has 3 supported, 0 conditional, 5 unknown/not-yet-verified, and 0 not-supported capabilities. Known-fact confidence is 99% for Exabeam New-Scale SIEM and 98% for Sumo Logic Cloud SIEM. Latest recorded review or verification activity across the comparison: Sep 17, 2026.
This summary reflects recorded TechSelectAI evidence only. It is separate from buyer-specific Fit Score, Evidence Confidence, TechSelectAI Verified Reviews and Public Review Intelligence. Unknown means not yet verified, not unsupported.
Cloud-native SIEM for high-volume security data ingestion, detection, investigation, behavioral analytics, risk scoring and automated response.
Cloud SIEM for collecting and normalizing security telemetry, correlating signals and supporting analyst investigation across cloud and on-premises sources.
Different coverage percentages can reflect how much TechSelectAI has researched and verified, not which product is better. “Research pending” means the current evidence set is incomplete; it is not evidence that the product lacks the capability.
Status and confidence reflect recorded evidence. Unknown means not yet verified, not unsupported. In the summary above, TechSelectAI labels this state “research pending”.
| Capability | Exabeam New-Scale SIEM | Sumo Logic Cloud SIEM |
|---|---|---|
| Android mobile applicationMobile Access | Not Yet Verified0% confidence · native_android_appMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · native_android_appMobile availability has not yet been verified from first-party evidence. |
| iOS mobile applicationMobile Access | Not Yet Verified0% confidence · native_ios_appMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · native_ios_appMobile availability has not yet been verified from first-party evidence. |
| Mobile web accessMobile Access | Not Yet Verified0% confidence · mobile_webMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · mobile_webMobile availability has not yet been verified from first-party evidence. |
| Behavior analytics / risk contextResponse & Automation | Supported99% confidenceBehavioral analytics and context-aware risk scoring are documented. | Not Yet Verified0% confidence |
| Security automation / SOARResponse & Automation | Supported98% confidenceAutomation Management and playbooks are documented for response workflows. | Not Yet Verified0% confidence |
| Central security data ingestionSecurity Analytics | Supported99% confidenceOfficial material documents ingestion from cloud, on-premises and third-party sources. | Supported99% confidenceSumo Logic documents collection of log and event data from on-premises and cloud infrastructure and applications. |
| Investigation & threat huntingSecurity Analytics | Supported99% confidenceHigh-performance search, timelines and investigation workflows are documented. | Supported98% confidenceSumo Logic documents analyst investigation through Cloud SIEM plus searchable security data. |
| Threat detection & correlationSecurity Analytics | Supported99% confidenceReal-time analytics, detection correlation and risk scoring are documented. | Supported98% confidenceCloud SIEM documents correlation and security-event detection; rule and content coverage varies by configured sources. |
| Integration | Exabeam New-Scale SIEM | Sumo Logic Cloud SIEM |
|---|---|---|
| API | Not Yet Verified0% confidence | Not recorded |
| CRM | Not Yet Verified0% confidence | Not recorded |
| Microsoft 365 | Not Yet Verified0% confidence | Not recorded |
| Microsoft Entra ID | Not Yet Verified0% confidence | Not recorded |
| Deployment model | Exabeam New-Scale SIEM | Sumo Logic Cloud SIEM |
|---|---|---|
| Public SaaS | Supported98% confidence | Supported98% confidence |
Comparison facts, TechSelectAI analysis, community-derived insights and estimates are kept as separate evidence types. Missing evidence is not treated as proof of non-support.
Adjust the context below. Context Fit is calculated from the same published TechSelectAI evaluation signals and scoring methodology; it does not replace verified product facts or the saved project Decision Matrix.
What could change this recommendation? Confirmed requirements, must-have failures, exact integrations, regional availability, pricing, security requirements, and implementation capacity can materially change fit. For a saved, reproducible decision with custom weights, use a Selection Project.
A feature comparison is not the same as a recommendation. TechSelectAI can evaluate both products against your must-have capabilities, integrations, deployment constraints, security requirements, region and budget.
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