

OpenText Behavioral Signals and Microsoft Sentinel are competing products in the cybersecurity domain. Microsoft Sentinel has the upper hand in terms of comprehensive features, while OpenText Behavioral Signals offers advantages in pricing and customer support.
Features: OpenText Behavioral Signals provides advanced analytics capabilities, offering deep insights into user behavior patterns, competitive pricing, and strong customer service features. Microsoft Sentinel stands out with seamless integration with Microsoft services, extensive threat analysis, and automated response features, providing a robust suite for a complete security operation center.
Room for Improvement: OpenText Behavioral Signals could benefit from more seamless integration capabilities, expanded automation features, and enhanced threat analysis tools. Microsoft Sentinel may improve by simplifying deployment for non-technical users, enhancing customer support services, and expanding third-party integrations to extend its capabilities further.
Ease of Deployment and Customer Service: OpenText Behavioral Signals offers straightforward deployment and strong customer support, making it suitable for businesses seeking quick implementation and responsive assistance. Microsoft Sentinel integrates seamlessly with existing Microsoft infrastructure but may require more technical expertise and configuration than OpenText Behavioral Signals, which excels in customer service.
Pricing and ROI: OpenText Behavioral Signals is more cost-effective, offering competitive pricing, which may result in a quicker ROI due to lower initial costs. Microsoft Sentinel may involve higher setup costs, justified by its extensive features, offering significant ROI for businesses requiring advanced capabilities. OpenText Behavioral Signals provides advantages in pricing and customer support, while Microsoft Sentinel justifies its price with feature depth.
If a customer is already using Microsoft’s ecosystem, the ROI can be positive due to seamless integration.
Our MTTR, mean time to response, improved by forty to fifty percent. Earlier, medium-severity incidents took two to three hours to resolve. Now, after Microsoft Sentinel, it is forty to fifty-five minutes.
We attribute our growth to Sentinel.
Microsoft invests significantly in support, which is crucial for companies.
I believe Microsoft could improve by keeping customer service within the US for Microsoft Sentinel customers who are within state and federal government sectors.
Working with a Sentinel engineer helped us tune settings effectively.
There is no need to add hardware or redesign infrastructure because it is cloud-native.
As our organization uses Microsoft Azure and Defender, everything grows together, and we can integrate various features seamlessly.
Being a SaaS solution, the scalability of Microsoft Sentinel is robust.
I have never experienced any downtime, crashes, or performance issues with Microsoft Sentinel because it is SOC as a Service, so it maintains 100% uptime and scaling.
In the past two years, our team hasn't encountered any issues with the stability of Microsoft Sentinel from an operations perspective.
I need to be aware of deprecated connectors as they may disconnect, but the data continues to be sent with a need for quick adaptation.
Log ingestion and retention costs can grow quickly, and understanding which data source is driving cost is not always straightforward.
We have some tools, such as our off-site Meraki firewalls, that have not fully integrated with Sentinel.
There are complexities in calculating the right pricing tier for different customers, which makes it difficult for me as a consultant during upfront pricing.
It has been beneficial that Microsoft Sentinel is included as part of the Microsoft package, making it more cost-effective.
Microsoft Sentinel is not a low-cost SIEM.
Microsoft Sentinel is provided at no cost, so we didn't have any issues with the cost.
Microsoft Sentinel's ability to correlate data from multiple sources and its detection capabilities are essential.
Microsoft Sentinel has improved cost efficiency, which is one of the key areas we're able to win business against the ability to have threat intelligence.
Microsoft Sentinel's ability to correlate data from multiple sources enhances our threat detection capabilities beyond what is a simple data lake solution by filtering out the noise and consolidating the signal down to a meaningful level that is easier to investigate and see.
| Product | Mindshare (%) |
|---|---|
| Microsoft Sentinel | 4.6% |
| OpenText Behavioral Signals | 0.8% |
| Other | 94.6% |


| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 22 |
| Large Enterprise | 46 |
Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:
- Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds
- Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft
- Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft
- Respond to incidents rapidly with built-in orchestration and automation of common tasks
To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
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