OpenText Behavioral Signals and One Identity Safeguard compete in data security and analytics. OpenText Behavioral Signals has an edge in pricing and customer support, while One Identity Safeguard is favored for its feature-rich functionality, justifying its higher cost.
Features: OpenText Behavioral Signals provides predictive analytics with its AI-driven data analysis and focuses on user behavior for proactive security measures. One Identity Safeguard offers robust privileged access management, password vaulting, and session monitoring, emphasizing comprehensive security management.
Room for Improvement: OpenText Behavioral Signals can enhance its security controls and expand features beyond analytics. It could improve integration capabilities and reporting features for broader usability. One Identity Safeguard might improve its cloud service deployment speed and lower initial setup complexity. Easier configuration options and more user-friendly documentation would be beneficial.
Ease of Deployment and Customer Service: OpenText Behavioral Signals provides flexible, cloud-focused deployment options and efficient customer service. One Identity Safeguard offers both cloud and on-premise solutions with specialized technical support, although deployment is more gradual.
Pricing and ROI: OpenText Behavioral Signals is competitively priced with lower initial setup costs and strong ROI due to its predictive capabilities. One Identity Safeguard has higher setup costs but delivers high ROI through enhanced security and compliance management, appealing to organizations with long-term security investment goals.
Any PAM solution, when I deploy it well and customers use it, leads to a return on investment.
When I have day-to-day incidents and problems, the response is good enough in terms of time and quality.
I sometimes need escalations to reach expertise.
Sometimes, I get a very helpful response and they address issues on a call.
The scalability of One Identity Safeguard is perfect, scoring ten out of ten.
I would rate it a nine out of ten for scalability.
We have a cluster of SPPs and a cluster of SPSs, and we can add a node to that cluster without much fuss.
It is difficult for things to go wrong.
In terms of stability, I rate One Identity Safeguard nine to ten out of ten.
I encounter problems primarily with the failover procedure.
Ideally, a single interface to integrate all these processes would be useful.
If Privilege Session pushed more data to Safeguard Privilege Password, an admin would only need to log in to one place.
Another area for improvement could be the threat detection capabilities, like those seen in other PAM vendors.
It is cheaper than CyberArk.
It is one of those where the more you buy, the cheaper it is.
The pricing of One Identity Safeguard is fairly priced and cheaper than other solutions of the same enterprise level.
The auditing and approval mechanisms are features we did not have before and are greatly appreciated.
I can share credentials, save files within One Identity Safeguard, and ensure that certificates and license numbers are securely stored.
I think One Identity should improve its documentation because it is vast and not clear, and clear documentation on implementing the solution would be advantageous for consultants.
Product | Market Share (%) |
---|---|
One Identity Safeguard | 2.4% |
OpenText Behavioral Signals | 2.0% |
Other | 95.6% |
Company Size | Count |
---|---|
Small Business | 18 |
Midsize Enterprise | 12 |
Large Enterprise | 19 |
One Identity Safeguard manages and monitors privileged access, enhancing security with features like automatic session recording, real-time monitoring, and credential rotation. It integrates seamlessly, supports compliance with audit trails, and improves operational efficiency across organizations. This robust platform significantly bolsters security protocols while controlling sensitive operations.
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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