Turn Microsoft Sentinel Into a High-Fidelity Detection Platform
Improve Detection Coverage. Reduce SOC Engineering Work. Maximize Microsoft Sentinel ROI.
SIEM Foundation
Microsoft Sentinel gives security teams a powerful cloud-native SIEM foundation. But even mature Sentinel deployments can run into detection limits, alert noise, and behavioral visibility gaps when teams rely primarily on static rules, threshold-based logic, and detections they have to build, tune, and maintain themselves.
Why Microsoft Sentinel Customers Need More Than Visibility
Microsoft Sentinel centralizes telemetry and provides a scalable SIEM foundation. But visibility alone does not guarantee high-fidelity detection.
Many SOC teams still rely on static rules, threshold-based logic, and manually tuned detection content that can be difficult to build, validate, and maintain scale. Sentinel’s 50 NRT rule limit can also constrain real-time detection strategies, forcing teams to choose which detections run near real time and which are delayed, deprioritized, or never built.
At the same time, sophisticated attacks rarely stay inside one control plane. Insider threats, identity misuse, ransomware, cloud compromise, and advanced persistent threat activity often unfold across users, entities, endpoints, cloud platforms, SaaS applications, and third-party environments.
To detect these threats earlier, security teams need behavioral context, entity profiling, anomaly detection, threat intelligence, and cross-environment correlation.
Common Sentinel detection challenges include:
- Detection blind spots across identity, cloud, insider threats, ransomware, and advanced persistent threat activity
- Real-time detection constraints created by Sentinel’s 50 NRT rule limit
- Alert fatigue from low-fidelity signals, static rules, and threshold-based detections
- Limited behavioral detection depth across Microsoft and non-Microsoft ecosystems
- High engineering overhead to build, tune, and maintain detection logic
- Fragmented visibility across hybrid and multi-cloud environments
- Difficulty proving measurable Sentinel ROI without adding operational complexity
The result is predictable. Analysts spend too much time triaging noise and too little time stopping real threats.
Fewer false positives. Faster investigations. Broader coverage. Stronger detection confidence.
Microsoft Sentinel remains the source of truth
Microsoft Sentinel continues to serve as the primary data lake, investigation console, and response workflow for alerts and telemetry across identity, cloud, SaaS, endpoint, and enterprise environments.
Securonix enriches existing Sentinel telemetry
Securonix analyzes telemetry already collected by Sentinel using behavioral analytics, anomaly detection, entity profiling, threat intelligence enrichment, advanced correlation, and risk scoring.
Detection coverage expands immediately
Securonix adds unlimited real-time detections beyond Sentinel’s 50 NRT rule limit and applies more than 2,400 continuously maintained Threat Labs–backed detections, reducing the need for customers to build and maintain detection content themselves.
High-confidence alerts and anomalies return to Sentinel
Risk-scored detections, enriched alerts, behavioral anomalies, and prioritized incidents are sent back into Sentinel so analysts can investigate and respond in their existing workflows.
Business Outcomes for Microsoft Sentinel Customers
Reduce Security Risk
Detect sophisticated threats earlier across insider risk, identity compromise, credential abuse, ransomware, cloud attacks, and advanced persistent threat activity using adaptive behavioral analytics that static rules and thresholds often miss.
Improve Detection Coverage Beyond Native Sentinel Rules
Expand real-time detection coverage beyond Sentinel’s 50 NRT rule limit with unlimited real-time detections and continuously maintained Threat Labs–backed content.
Reduce SOC Engineering Work
Put more than 2,400 continuously maintained detections without requiring internal teams to build, tune, validate, and update detection logic by themselves.
Add Behavioral Detection Depth to Microsoft Sentinel
Enhance Sentinel with industry-leading UEBA that continuously learns normal behavior across users, entities, accounts, and workloads, then identifies deviations that may indicate insider risk, account compromise, privilege misuse, lateral movement, or data exfiltration.
Improve SOC Efficiency
Reduce alert fatigue by using the Securonix Noise Control Agent and advanced correlation to enrich, group, and prioritize related signals into high-confidence incidents with risk-based prioritization aligned to business impact.
Maximize Sentinel ROI
Extend existing Sentinel investments without replacing workflows, moving data, duplicating storage, or asking analysts to learn another console.
Accelerate Detection and Response
Give analysts the context they need at the point of investigation, including behavioral patterns, entity context, threat intelligence, risk scores, and MITRE ATT&CK mapping.
Enhance Hybrid and Multi-Cloud Visibility
Expand detection across AWS, Google Cloud, SaaS platforms, identity providers, endpoints, and third-party security tools with 600+ integrations that help unify analytics across heterogeneous environments.
Built for MSSPs and MDR Providers
Providers can improve detection coverage, reduce tuning burden, and create differentiated Sentinel augmentation services without duplicating customer data or forcing customers into a platform migration. Providers can package Securonix Threat Analytics as a high-value detection fidelity, behavioral analytics, and coverage optimization service for Microsoft Sentinel customers.
Scale Microsoft Sentinel detection services without multiplying operational overhead
- Multi-tenant SaaS architecture designed to support provider-scale operations
- Unlimited real-time detections beyond Sentinel’s 50 NRT rule limit
- Standardized analytics, enrichment, and risk scoring across customer environments
- Faster onboarding with API-based integration and no new customer-side pipelines
- Reduced tuning burden through 2,400+ continuously maintained ThreatLabs-backed detections
- Broader service coverage across Microsoft, AWS, Google Cloud, SaaS, identity, endpoints and infrastructure
Build a higher-fidelity Microsoft Sentinel detection service without duplicating customer data or disrupting customer workflows.
Why Securonix for Microsoft Sentinel Threat Analytics
Securonix is purpose-built to extend Microsoft Sentinel with behavior-driven detection, unified correlation, risk-based prioritization, and continuously maintained detection content.
Unlike native Sentinel detections alone, point tools, or custom pipelines, Securonix improves detection accuracy without forcing teams to re-architect their SIEM, duplicate data, build new pipelines, or absorb additional engineering overhead.
Differentiation at a Glance
Capability | Securonix Threat Analytics | Native Sentinel | Point Tools or Custom Pipelines |
|---|---|---|---|
Real-time detections | Unlimited real-time detections beyond Sentinel’s 50 NRT rule limit | Constrained by native NRT rule limits | Varies by tool or custom build |
Detection content | 2,400+ continuously maintained Threat Labs-backed detections | Customer-built, Microsoft-native, or manually tuned content | Often requires ongoing engineering and maintenance |
Detection model | Behavioral analytics, UEBA, anomaly detection, correlation, and risk scoring | Primarily rule-based and threshold-driven logic | Varies by tool or custom implementation |
Behavioral depth | Industry-leading UEBA across users, entities, identities, and workloads | Limited native behavioral detection depth | Often siloed or narrow in scope |
Data handling | No duplication, no re-ingestion, no added storage | Native ingestion model | Often duplicates data or requires new pipelines |
Coverage | 2,400+ detections, MITRE-aligned coverage analysis and 600+ integrations | Strong Microsoft-native visibility | Fragmented across tools and ecosystems |
Operations | Lightweight deployment with no migration or replacement | Requires ongoing tuning and engineering | High maintenance and engineering overhead |
Workflow | Alerts, anomalies, and detections returned to Sentinel | Native Sentinel workflows | Often creates workflow fragmentation |
System of record | Sentinel remains the data lake, investigation console, and response workflow | Sentinel-native | May shift analysts into other tools |
Business Outcomes for Microsoft Sentinel
Up to 85% reduction in setup time
~40% reduction in false positives
~60% improvement in detection coverage
Up to 3x improvement in Sentinel ROI
2,400+ continuously maintained ThreatLabs-backed detections
600+ integrations across cloud, SaaS, identity, endpoint, and infrastructure ecosystems
Priority Use Cases
Insider Threat Detection
Identify anomalous user behavior, privilege misuse, risky peer-group deviations, and potential data exfiltration before sensitive information is compromised.
Identity Threat Detection and Response
Detect credential abuse, account compromise, impossible travel, suspicious authentication behavior, and lateral movement across hybrid identity environments.
Ransomware and Advanced Threat Detection
Uncover early-stage ransomware behaviors, privilege escalation, lateral movement, command-and-control activity, and multi-stage attack patterns before business disruption occurs.
Real-time Detection Expansion
Go beyond Sentinel’s 50 NRT rule limit with unlimited real-time detections that expand coverage without requiring custom rule engineering.
Cloud and SaaS Threat Detection
Monitor activity across Microsoft Azure, AWS, Google Cloud, SaaS applications, endpoints, and identity providers for suspicious behavior beyond Microsoft-native telemetry.
SOC Optimization
Reduce analyst workload by turning noisy alerts into enriched, risk-prioritized incidents that support faster triage and response.
Detection Coverage Optimization
Use MITRE-aligned coverage analysis to understand where Sentinel detection coverage is strong, where gaps remain, and where to improve next.
Agentic, AI and Cybersecurity
See how Securonix Threat Analytics for Microsoft Sentinel adds behavioral context, maintained detections, and better prioritization without changing workflows.
Why Now?
Modern SOCs need more than visibility. They need precision, behavioral context, and speed.
Attackers increasingly move across identities, users, cloud platforms, SaaS applications, endpoints, and third-party environments. Static rules, threshold-based logic, and manually maintained detections cannot keep pace with this complexity.
Microsoft Sentinel customers also need to prove measurable ROI from Microsoft security investments without adding operational burden.
Securonix Threat Analytics helps security leaders close detection gaps, cut noise, and maximize Sentinel ROI without increasing complexity. It extends Sentinel with unlimited real-time detections, continuously maintained Threat Labs content, industry-leading UEBA, advanced correlation, and risk-based prioritization while keeping Sentinel as the single source of truth.
Ready to improve Microsoft Sentinel detection fidelity?
Extend Sentinel with behavior-driven analytics, real-time detection expansion, UEBA, threat intelligence, and risk-based prioritization without changing where your SOC stores data, investigates incidents, or responds to threats.
