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Abstract + Microsoft Sentinel

How Abstract Enhances Your Microsoft Sentinel Investment

Azure Sentinel offers strong native analytics but limits users to 512 scheduled detection rules and 50 near real-time rules, with batch latencies of 5 to 15 minutes.

Abstract Security complements Sentinel by enabling thousands of real-time rules with sub-second processing, reducing data volumes by 60–80% before ingestion, and supporting hundreds of data sources through no-code, maintenance-free integrations. Together, they deliver faster, broader, and more cost-effective threat detection across complex environments, maximizing security while minimizing operational overhead and costs.

Top 3 reasons to Integrate Abstract when using Microsoft sentinel

Slash Complexity and Onboarding Overhead
Lower Sentinel Costs and Boost Reliability
Supercharge Threat Detection and Visibility
01

Accelerate onboarding to Azure Sentinel using Abstract’s no-code SaaS, Syslog, and API connectors. No need to build or manage Azure Function connectors.

01

Complement KQL with a drag-and-drop interface: Abstract provides a visual interface for constructing complex detection rules, giving your team greater flexibility alongside traditional KQL that Sentinel offers.

01

Simplify policy management with global configurations that apply across all data sources without manual DCR setup.

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Reduce data volume by up to 80 percent before it enters Sentinel, cutting ingestion costs significantly.

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Ensure reliable data ingestion with built-in stateful checkpointing that eliminates data gaps and reprocessing.

01

Minimize storage expenses with Abstract’s LakeVilla, enabling cold data retention without the access fees tied to Azure Blob Storage.

01

Achieve real-time detection in seconds eliminating the need to wait for Sentinel’s batch execution and rule limits.

01

Unlock thousands of real-time detection rules with Abstract, to complement Azure Sentinel’s native capacity of 512 scheduled and 50 near real-time rules.

01

Extend Sentinel’s reach beyond Microsoft environments by bringing in detection content from Abstract that can be applied to data in real-time from SaaS, identity, and multi-cloud platforms.

01

Streamline threat intel enrichment with out of the box third-party integrations, with no manual uploads or added ingestion costs to bring external intel into Sentinel.

Ideal Use Case

Azure Sentinel is a great choice for Microsoft-centric environments needing native visibility.  But with Abstract Security, organizations can get broader visibility, threat detection, real-time processing, and hybrid cloud coverage

Introducing Data Filtering Capabilities

Microsoft Sentinel recommends customers filter out irrelevant data before ingestion to reduce costs (Refr: Best practices for data collection – Microsoft), using Azure Monitor Agent or Logstash that support basic filtering capabilities.  

Abstract’s Security Data Pipelines offer advanced, out-of-the-box, vendor-agnostic filtering capabilities through a simple drag-and-drop interface, with no KQL required.

Cost-Effective Data Ingestion

Optimized for non-Microsoft sources: Sentinel provides free ingestion for Microsoft Cloud data sources ingesting third-party data can get expensive.  Abstract reduces data volume of popular integrations by as much as 60–80% before it hits Sentinel, lowering costs.

True Real-Time Detection

Abstract Security supports thousands of true real-time streaming rules, allowing teams to augment their Azure Sentinel detections for more flexible and immediate responses without eating into Azure Sentinel’s Detection rule limits.  

Sentinel supports 50 near real-time (NRT) rules and 512 total detection rules. Refr: Service Limits for Sentinel. Batch processing can add minutes of delay due to indexing.

Complementary Detection Focus

Sentinel excels at Microsoft cloud and Windows endpoint detections.

Abstract enhances this with robust coverage of SaaS software, enabling broader, cross-platform coverage — ideal for the modern enterprise.

Seamless Migration & Detection Portability

Sentinel offers rule translation (e.g., Splunk to KQL) with partial automation.

Refr: SIEM Migration experience from Sentinel Abstract provides no tooling/scripts required experience for SIEM migration easing transition from any SIEM to Sentinel without complex manual mapping.

Streamlined Threat Intelligence Integration

Sentinel includes MSTIC threat intel out-of-box, but bringing in 3rd-party intel (e.g., Flashpoint, Recorded Future) requires uploading content Refr: Bring your threat intel.

Abstract provides OOTB integrations for third party threat intel, match against real-time data, and send results into Sentinel or other destinations.