Faster Investigations
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Reduction in Alerts
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Lower Cost
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LMNTRIX vs
SentinelOne
SentinelOne: Hard to deploy, difficult to manage, and too many breaches.
High resource consumption impacts system performance, particularly on lower-spec devices. The platform’s complexity can make initial deployment and configuration challenging, with a steep learning curve for new users. Additionally, the cost of the platform can be prohibitive, especially for smaller organizations. Users have also reported issues with too many false positives, which leads to unnecessary alerts and additional workload. Finally, while SentinelOne offers some integrations, it is be as flexible as other platforms in this regard, and support responsiveness can sometimes be slower than expected.
Detection
Hyperconverged Multi-tenanted Cyber Defense Platform
Designed from day inception as a Native XDR.
Natively unifies 12 detection capabilities into a single platform to detect threats across all threat vectors.
An EDR platform with limited bolt on detection capability
Designed as an EDR with basic log based SIEM bolt on capability added via acquisition.
Lacking detection capability across multiple threat vectors including Email, NDR, Packets, Attack Validation, OT, Darknet and others
Deployment
Distributed and Multi-Tenant Design
Extensively validated for mission-critical environments.
Proven reliability and engineered for high redundancy.
Designed with multi-tenancy at its core, offering full control over deployment schedules and minimizing the need for frequent updates.
Hard to deploy and maintain
Multiple agents required for full platform capabilities, delaying rollout times and complicating module adoption.
Heavy agent consumes significant resources, potentially impacting endpoint performance.
Manual exclusions required for software interoperability issues, creating blind spots for adversaries.
Requires extensive false positive tuning.
Architecture
Reliable and Lightweight Agent Ensures Continuous Operation
The modern agent is optimized for current threats, with restricted kernel access, primarily for visibility and anti-tampering purposes, while all modifications occur in user space. AI integration enhances threat detection and prevention.
Kernel updates are reserved for version upgrades, processed through Microsoft’s driver signing and undergo canary release testing to ensure stability.
Resource usage is efficient and transparent, minimizing impact on system performance.
Weak, disconnected point products
Multiple disjointed consoles slow down investigation and response.
Lacks integrated cloud security modules (CSPM, CIEM, ASPM), leaving gaps for adversaries.
Limited in-house MDR creates homework for SOC teams.
Ineffective identity security module lacks behavioral baselining needed to catch credential abuse.
Poor industry validation raises doubts over efficacy.
Performance
Top-Ranked, Real-Time, and Autonomous
Offers complete protection and detection capabilities with proven real-world deployments. Boasts the industry’s lowest signal-to-noise ratio, ensuring you can focus on the most crucial tasks without distraction.
Zero client breaches
Weak coverage, can’t stop attacks
Supervised-ML detection engine misses advanced threats, including fileless and credential-based threats.
High false positive rate buries SOC teams in a mountain of alerts.
Anticipates missing threats, relying on “rollback” as an ineffective response that can’t guarantee remediation.
Platform
Consolidate all your data within a unified location.
Streamline the ingestion and normalization of data from both internal and external sources into a single, centralized data repository called the LMNTRIX GRID.
Utilize AI-driven SIEM capabilities for real-time data streaming and employ Hyperautomation techniques to enhance the return on your investment.
High Resource Consumption
CPU and Memory Usage: Many users have reported that SentinelOne can be resource-intensive, particularly when running scans or processing large amounts of data. This can lead to performance slowdowns on endpoints, especially those with lower specifications.
Impact on System Performance: The platform’s extensive monitoring and threat detection processes leads to noticeable lag or reduced system performance in some cases, which could be problematic in environments where high efficiency is crucial.
Many users reporting that SentinelOne produces too many false positives, where legitimate activities or files are flagged as malicious.
Integration options are not as extensive or as smooth as those of other platforms.
SentinelOne’s features come with a level of complexity that make initial deployment and configuration challenging, particularly for organizations without dedicated IT staff or sufficient cybersecurity expertise.
AI
AI-Driven Immediate Protection
The LMNTRIX Aegis AI offers built-in AI capabilities that operate instantly, minimizing the need for frequent updates and allowing for the creation of generative AI-driven workflows.
Manual Detection and Response
PurpleAI produces too many false positives, where benign activities are flagged as suspicious leading to unnecessary investigations and alert fatigue among security teams, reducing overall efficiency.
Initial setup and configuration of PurpleAI is complex and time-consuming as reported by many prospects.
Running SentinelOne’s full suite of tools, including PurpleAI, can impact system performance, especially on older hardware or in environments with limited resources.
PurpleAI, is expensive, particularly for smaller businesses. The cost is a barrier to adoption for organizations with limited budgets.
Intelligence
Leading Threat and Spatial Intelligence
Integrated into the platform, this solution leverages top-tier threat intelligence, including feeds from 21 vendors such as Google, Emerging Threats, Talos as well as our own sensor network and 170+ open source feeds, ensuring comprehensive protection.
LMNTRIX Labs research together with the LMNTRIX Active Offense risk advisory services offer impactful geopolitical intelligence, enabling you to maintain a broad and effective security strategy.
Outdated IOC-Based Threat Intelligence
Check-box threat intelligence functionality primarily built on 3rd party feeds that delivers minimum value.
SentinelOne’s threat intelligence delivers a fraction of the IOCs, limited adversary attribution, no adversary tactic discovery, and no integrated malware sandbox.
Cloud
Leading Cloud Security Solution
The LMNTRIX XDR Platform, which is cloud-native and agentless, provides immediate protection (CSPM, CIEM, CDR, and ASPM) without needing kernel-level access. This approach reduces disruptions and utilizes advanced performance controls. It supports diverse environments, including public, private, hybrid, on-premises, and various workloads, even those without servers.
Incomplete CNAPP
Only offers cloud workload protection, and lacks natively integrated key cloud security modules for CSPM, CIEM, CDR, and ASPM.
MDR
All Inclusive MDR
As a leader in Managed Detection and Response (MDR) and one of the 20 vendors featured in the Gartner MDR Market Guide, we offer comprehensive protection.
Our service ensures full-spectrum response across your network, endpoints, identity, cloud, and mobile platforms. We eliminate the need for customer handoffs, saving time and reducing risk during attack remediation.
All our XDR subscriptions come with Unlimited DFIR, Containment & Remediation, and Proactive Threat Hunting at no additional cost.
With LMNTRIX, you can also eliminate the need for an Incident Response (IR) retainer, helping you save on fees while maintaining top-tier security.
Limited MDR
SentinelOne’s MDR can only provide basic remediation actions via standard agent actions without costly IR hours.
Any SentinelOne MDR involvement beyond basic endpoint remediation is limited to guidance only, not action.
Customer Feedback
Source: TrustRadius, Gartner Peer Reviews, G2
Complexity
Interface and features can be complex and require significant training.
False Positives
Detection engine sometimes generates false positives, which can be disruptive and require manual intervention.
Integration
Challenges integrating with other security tools and legacy systems; careful planning and effort needed for smooth interoperability.
Resource Use
Can be resource-intensive, impacting system performance during scans and updates.
Mac Support
Rollback feature for Mac is not fully functional, and the platform is less optimized for Mac users.
Reporting
Basic reporting and analytics features are limited; more detailed and customizable options desired.
- Vendor offers limited capability
- Optional cost - applies to MDR only
- Offered by Vendor
- Not offered by vendor
| MXDR – Features / Capabilities | SentinelOne | LMNTRIX |
|---|---|---|
| Platform Feature | ||
| Behavioral Analytics and Protection | Y | Y |
| Automated Secops | L | Y |
| Containment and Remediation | O | Y |
| Machine Learning and Artificial Intelligence | Y | Y |
| XDR Dahsboard/Portal | Y | Y |
| XDR Dahsboard/Portal Whitelabaleing + Custom URL | N | Y |
| SIEM Integration | Y | Y |
| Cloud-Based Solution | Y | Y |
| Compliance and Reporting | Y | Y |
| Data Sovereignty | Y | Y |
| Customer Specific Tenancy | N | Y |
| Powerful Visualizations | Y | Y |
| MDR | ||
| 24 x 7 Monitoring | O | Y |
| End-to-End Platform & Tech Stack Management | Y | Y |
| Proactive Threat Hunting (endpoint+network) | O | Y |
| Active Threat Hunting (endpoint+network) | O | Y |
| Forensic Investigation (endpoint+network) | O | Y |
| False Positive Reduction | O | Y |
| Managed Remote Host Tactical Threat Containment | Y | Y |
| Managed Remote Network Tactical Threat Containment | Y | Y |
| Managed Remote Cloud-Based Threat Containment | Y | Y |
| Managed Remote Web Security Threat Containment | Y | Y |
| Managed Remote Email Security Threat Containment | Y | Y |
| Unlimited Remediation Support | N | Y |
| Automated Threat Response to Known Threats | Y | Y |
| Incident Response and Forensics | O | Y |
| Breach Warranty | O | N |
| Managed Security Services Support | Y | Y |
| Tech Stack | ||
| Multilayered endpoint protection | Y | Y |
| SIEM – NextGen SIEM (UBA, ML, Graph Analysis) | Y | Y |
| Packet Capture – Network forensics | N | Y |
| Attack Paths | Y | Y |
| AD Audit – AD Topology Best Practices Report | Y | Y |
| Endpoint Protection & Visibility (NGAV+EDR) | Y | Y |
| Network Visibility (NDR, Packets) | N | Y |
| Log Visibility (SIEM – on-premises & cloud) | Y | Y |
| Cloud Visibility (CSPM, CIEM, CDR) | N | Y |
| Mobile Security (MTD) | Y | Y |
| Identity Protection | Y | Y |
| Automated Attack Validation (Automated PenTest) | N | Y |
| Threat Intelligence Platform (TIP) | Y | Y |
| Device Control (USB) | Y | N |
| Local Host Firewall Management | Y | L |
| Deception Technology | Y | Y |
| Deep and Dark Web Intelligence | N | Y |
| Multi-Vector Detection | L | Y |
| Operational Technology: SCADA/ICS Support | N | Y |
| Cloud Security Analytics | Y | Y |
| Threat Intelligence Feeds | Y | Y |
| Attack Surface Reduction | Y | Y |
| Next-Generation Signatureless AV Protection | Y | Y |
| Vulnerability Management | Y | N |
| Vulnerability Scanning | Y | N |
| Patch Management | N | N |
| Sandboxing | N | Y |
Retail 1B-3B USD
Media 1B-3B USD
Mininf 30B+ USD
