

OpenText Behavioral Signals and Anvilogic are competing technologies in AI and data analytics. Anvilogic appears to have the upper hand due to its comprehensive features offering more value despite cost concerns.
Features: OpenText Behavioral Signals specializes in behavioral data analysis, focusing on sentiment analysis and emotional intelligence integration to provide advanced insights into customer interactions. Anvilogic excels in sophisticated threat detection and security operations with high customization and integration capabilities, making it ideal for cybersecurity-focused businesses. Its advanced security functionalities stand out.
Room for Improvement: OpenText Behavioral Signals could enhance its feature set, expand integration capabilities for broader use, and improve customization options for specific business needs. Anvilogic might streamline its deployment process to reduce complexity, enhance user interface intuitiveness, and offer more affordable pricing options to attract a wider range of users.
Ease of Deployment and Customer Service: OpenText Behavioral Signals offers straightforward deployment with excellent customer support guidance, ensuring a seamless client experience. Anvilogic provides extensive customization options, resulting in a more complex deployment process, yet compensates with dedicated and responsive customer support addressing inquiries efficiently.
Pricing and ROI: OpenText Behavioral Signals is noted for competitive pricing with favorable ROI, appealing to budget-conscious organizations. Anvilogic, despite a higher setup cost, offers substantial ROI through its extensive feature set and added value from enhanced security and customization, reflecting its long-term benefits.
We rolled out approximately 1,500 Armory alerts in three months, which would not have been possible with Splunk.
We're taking these things that executives see on the news, cyber threats falling from the sky, and we're taking the timeline that would take weeks or sometimes even months to address, depending on what's required for the detection, and bringing that timeline down to hours and days.
If we were not doing more and did not have Anvilogic, we would need one dedicated person to do this detection engineering.
The product management and the product engineering team are available to us if we need to review something with them.
One of the best things about Anvilogic is the partnership, their knowledge, the depth of technical understanding, and the speed at which they respond.
I would evaluate their customer service and tech support as fantastic.
Anvilogic is helping us identify what the needs of the business are, where in many cases, business processes just run off on their own.
They can institute all the things they wish they had when they were SOC operators.
We started with about 55 detections and scaled up to about 980 odd detections so far.
I have never experienced a serious outage.
I would assess the stability and reliability of Anvilogic as very good.
There is sometimes a bit of slowness and Splunk-related issues.
The hunting insight needs integrable capability with different platforms to gather all of that insight and show it on a single canvas on Anvilogic.
Anvilogic requires three clicks to get the full set of information.
Because they do not completely replace a SIEM, their pricing is slowly edging towards being a little too much for a smaller organization like ours.
My experience with pricing, setup costs, and licensing of Anvilogic was the easiest experience I have ever had.
Detection insights help us easily identify the most noisy ones, the effective ones, and what needs to be fixed to move the noisy ones to effective ones.
Being able to generate detections and map them back to MITRE, not as a 'we've accomplished security' type of metric, but at least showing that you have some form of adequate coverage across all of those different domains.
| Product | Market Share (%) |
|---|---|
| Anvilogic | 0.4% |
| OpenText Behavioral Signals | 0.7% |
| Other | 98.9% |

Anvilogic breaks the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs. It enables detection engineers and threat hunters to keep using their existing SIEM while seamlessly adopting a scalable and cost-effective data lake for high-volume data sources and advanced analytics use cases.
By eliminating the need for rip-and-replace, Anvilogic allows security leaders to confidently join the rest of the enterprise on the modern data stack without disrupting existing processes. Security operations teams at banks, airlines, and large tech companies use Anvilogic’s modular detection engine, thousands of curated threat scenarios, and AI security copilot to improve detection coverage and save millions of dollars.
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.
We monitor all Security Information and Event Management (SIEM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.