

Check Point WAF and Gremlin Reliability Management Platform compete in cybersecurity and system reliability enhancement. Check Point appears to have the upper hand in proactive threat management, whereas Gremlin excels in operational resilience.
Features: Check Point WAF is known for its seamless integration with Azure ExpressRoute, AI-driven threat prevention, and the ability to manage multiple websites. Gremlin's strengths lie in chaos engineering with safe fault injection, a standardized reliability test suite, and dependency mapping to enhance system reliability.
Room for Improvement: Check Point WAF could benefit from a simpler user interface, reduced false positives, and expanded API security features. Documentation and integration with other tools also need refinement. Gremlin could improve by integrating deeper AI for recommendations, enhancing UI, and better workflow integration for teams.
Ease of Deployment and Customer Service: Check Point WAF supports diverse deployment environments including public, private, and hybrid clouds, with robust technical support, though some users report occasional delays. Gremlin is mainly used in hybrid and on-premises setups and offers comprehensive assistance, but integration could be more seamless with additional AI enhancements.
Pricing and ROI: Check Point WAF is seen as expensive, but users find its comprehensive features and significant ROI justify the cost with flexible subscription models aiding cost management. Gremlin is also costly, yet considered worthwhile due to its robust fail-safe features. However, the lack of clear cost-benefit metrics poses a challenge. Both solutions demonstrate solid ROI through performance improvements and cost savings, although Check Point provides clearer insights into total cost of ownership reductions.
When we are attacked, we can understand how important the solution is.
When you migrate to the cloud, it feels like saving 90% of your time.
Most of the operations happen in the background, so I do not spend much time on it.
We are seeing a return on investment from using Gremlin Reliability Management Platform because we are getting less production issues by thirty percent, as I mentioned earlier, making it a great investment.
We do not need to look at all the day's metrics on Grafana dashboards; we run our chaos experiments in a production environment to see how reliable our product or service is.
If we needed ten people to do tests once upon a time, now, using Gremlin Reliability Management Platform, we can do it with a fifty percent reduction in employees.
They need to increase the number of people for 24/7 support.
They were responsive even before we committed to buying their solution.
I also received full technical support, especially during the implementation.
When I have questions or run into issues with Gremlin Reliability Management Platform, their support team is helpful and responsive.
The expert partnership model is a significant strength I can suggest for Gremlin Reliability Management Platform.
The customer support for Gremlin Reliability Management Platform is good overall.
If I need to scale, I open a Whatsapp group with the director and the team, and we quickly proceed to do so.
They have sufficient resources, and there are no challenges from a scalability perspective.
Check Point CloudGuard WAF's scalability is very good.
Gremlin Reliability Management Platform scales smoothly for running more chaos experiments, adding more services, or supporting a larger team.
Gremlin Reliability Management Platform's workload management capability is good, effectively managing large workloads seamlessly while providing safety mechanisms and governance around chaos engineering.
More than scalability, I thought about availability because it is a really important thing of the architecture tools.
It is very stable.
It is very stable, never crashing or giving me an error that I can see.
I did not have any issues in the last three years during which I had more than ten critical services running on CloudGuard.
I have not seen any downtime or issues with its behavior or performance.
The provider could improve by providing better guidance and support during the configuration process.
Future releases should include better bot mitigation, behavioral anomaly detection, compliance templates, advanced threat intel integration, and streamlined multi-cloud support to boost protection and usability.
A machine learning-based adaptive mode could help the WAF learn over time and auto-tune policies.
I think it would be useful to have some integration with Splunk or other log collectors, or maybe in the future, the ability to link Dynatrace or any other observability platform.
If we can integrate it with natural language, could we talk to Gremlin Reliability Management Platform and have it configure some of the basic settings so that non-technical persons can also work on Gremlin Reliability Management Platform-like tools?
The user interface is great, the integration is smooth, and Gremlin Reliability Management Platform has a fantastic support team that helps us a lot in many cases.
It is more expensive than f5, where we purchased everything as bundles, and Check Point costs more, but it is worth the money.
It is less costly than Cloudflare, Fortinet, and other vendors.
I know that its price is relatively expensive compared to other products but it gives benefits that are worth it.
It is not so cheap, but it has very powerful features.
From a pricing standpoint of view regarding Gremlin Reliability Management Platform, I would say it is a bit expensive, but that expense is worth it given the kind of benefits it offers.
My role does not incur costs for us since we have an NFR for Gremlin Reliability Management Platform that we can use in our case.
Upon implementation and evaluation with third-party penetration testing, it meets rigorous security standards required for dealing with financial institutions.
It can protect against zero-day attacks and hidden anomalies.
The solution preemptively blocks zero-day attacks and detects hidden anomalies effectively.
There are really two pathways along: fewer incidents because with Gremlin Reliability Management Platform, we can make every part of the infrastructure more solid, and less downtime because we can test more architectures and then things like how to put in high availability clusters.
We fix failures even before they occur, which is basically proactive risk detection and risk mitigation.
Gremlin Reliability Management Platform has positively impacted our organization by making outages less frequent and improving recovery time significantly, resulting in fewer complaints on the customer success side and overall optimization of our DevOps process.
| Product | Mindshare (%) |
|---|---|
| Check Point WAF (formerly CloudGuard WAF) | 4.4% |
| Gremlin Reliability Management Platform | 0.6% |
| Other | 95.0% |


| Company Size | Count |
|---|---|
| Small Business | 54 |
| Midsize Enterprise | 23 |
| Large Enterprise | 34 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Large Enterprise | 7 |
Check Point WAF offers a robust security framework with AI-driven threat detection and seamless integration, protecting applications and APIs in multi-cloud environments.
Effective in preemptively blocking threats through AI and machine learning, Check Point WAF reduces false positives and operational workload. Its integration capabilities and threat intelligence provide comprehensive protection against zero-day attacks, while centralized management facilitates cost-effective and insightful threat reporting.
What are the main features of Check Point WAF?Check Point WAF is employed in industries securing web applications and APIs, especially in multi-cloud environments. It effectively protects backend services, prevents unauthorized access, and monitors traffic, making it suitable for businesses with diverse infrastructures. It ensures compliance with security standards and adapts to fluctuating traffic patterns.
Gremlin Reliability Management Platform empowers organizations to proactively identify and mitigate potential failures. It enhances system resilience through controlled chaos engineering, aiding tech teams in delivering reliable services.
Designed for tech-savvy users, Gremlin enables teams to implement chaos engineering effectively to ensure system reliability. It offers precise control over variables, allowing teams to simulate real-world scenarios and fortify system operations. Gremlin plays a strategic role in preventing downtime and maintaining optimal service delivery through a suite of advanced tools tailored for IT infrastructure.
What are the most important features of Gremlin?In industries such as e-commerce, finance, and healthcare, Gremlin helps maintain service reliability by identifying vulnerabilities before they affect operations. IT teams can simulate stress tests specific to their industry, ensuring systems are resilient against potential threats, enhancing customer satisfaction, and securing business continuity.
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