OpenText Behavioral Signals and Microsoft Sentinel compete in the analytics and security solutions category. Microsoft Sentinel has the upper hand due to its broad security analytics and threat intelligence capabilities, while OpenText Behavioral Signals is preferred for its advanced sentiment detection and competitive pricing.
Features: OpenText Behavioral Signals provides real-time emotion and intent recognition, efficient for contact centers, emotion analytics, and improved customer interactions. Microsoft Sentinel offers features such as threat detection, investigation, response, and powerful analytics.
Room for Improvement: OpenText Behavioral Signals could enhance its integration capabilities and expand its presence beyond niche markets like contact centers. Microsoft Sentinel could improve user interface simplicity, address false positives, and offer more seamless third-party integration.
Ease of Deployment and Customer Service: OpenText Behavioral Signals supports easy integration tailored for voice data platforms, with customer service that emphasizes accessibility. Microsoft Sentinel offers cloud-native deployment, ensuring easy integration with IT infrastructure while providing solid customer support.
Pricing and ROI: OpenText Behavioral Signals provides favorable pricing that often offers a good ROI for contact centers. Microsoft Sentinel's pricing may be higher but is justified through extensive security services, promising long-term ROI by strengthening organizational security.
If a customer is already using Microsoft’s ecosystem, the ROI can be positive due to seamless integration.
We attribute our growth to Sentinel.
From a risk perspective, it's about mitigating risk, and as mentioned earlier, we haven't missed many things since we've had the offering in market—only a couple of minor incidents.
Their solutions' integration simplifies resolving issues compared to those caused by third-party products.
Working with a Sentinel engineer helped us tune settings effectively.
When my team needs to escalate issues to Microsoft, especially for Microsoft Sentinel, the response is fast through their French entity.
Office 365 and Exchange are running on it, covering about 35,000 users efficiently.
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.
So far, we have not experienced any issues, and it has been stable from the beginning.
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.
We have some tools, such as our off-site Meraki firewalls, that have not fully integrated with Sentinel.
Currently, we are happy to have a way in the middle with not so much cost, but it would be nice to have the ability to enhance the automation of workflows based on learned incidents.
There are complexities in calculating the right pricing tier for different customers, which makes it difficult for me as a consultant during upfront pricing.
Microsoft Sentinel offers more capabilities than Bastion, with a more intuitive experience.
Setting up the right cost model for customers is intricate, requiring careful consideration of various components and licensing tiers.
The ingestion costs for the data analytics is usually the highest 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.
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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