

Find out in this report how the two AI Security solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The solution is time-saving, particularly in the long run after it is deployed, enabling us to get value promptly.
I can see that Snyk saves the costs of hiring security developers for vulnerability scanning and security checks, as that responsibility is now managed by Snyk.
There is no UK-based support, which leads to delays in waiting for US support.
If I raise a ticket, it initially goes to the L1 team, but the next level of escalation is really effective.
They excel in response times and quick reactions when there's an actual threat.
Our long-standing association has ensured smooth communication, resulting in favorable support experiences and satisfactory issue resolution.
Their response time aligns with their SLA commitments.
We could understand the implementation of the product and other features without the need for human interaction.
I can rate it around eight to nine, and it is very scalable and capable of handling tasks, especially for the on-premises product.
We have not had any customers come back to say they cannot scale at the speed of their business growth.
The solution is scalable as it is cloud-based and cloud-native.
Snyk allows for scaling across large organizations, accommodating tens of thousands of applications and over 60,000 repositories.
Snyk is very scalable and can handle my organization's growth and changing needs.
The stability of Securonix Next-Gen SIEM is based on the events we are processing.
At the admin level, we have many challenges where log parsing is causing issues and compatibility is not present.
The passing and setup are quite complex at the beginning, making onboarding not smooth.
SIEM could have better integration with other technologies.
It lacks the ability to select branches on its Web UI, forcing users to rely on CLI or CI/CD for that functionality.
The inclusion of AI to remove false positives would be beneficial.
As we are moving toward GenAI, we expect Snyk to leverage AI features to improve code scanning findings.
Licensing is based on events per second (EPS), costing between $50 to $60 per EPS.
The solution is definitely not expensive.
The pricing has similar ingestion charges compared to other solutions, such as Splunk.
Snyk is recognized as the cheapest option we have evaluated.
After negotiations, we received a special package with a good price point.
Snyk is less expensive.
The software includes user behavior interactions, dashboards, and training capabilities.
Now, the process is automatic, reducing our workload.
The other SIEM solutions lack an option for big data analysis, whereas in the Securonix Next-Gen SIEM, we have this option.
Our integration of Snyk into GitHub allows us to automatically scan codebases and identify issues, which has improved efficiency.
Snyk helps detect vulnerabilities before code moves to production, allowing for integration with DevOps and providing a shift-left advantage by identifying and fixing bugs before deployment.
Snyk has positively impacted my organization by improving the security posture across all software repositories, resulting in fewer critical vulnerabilities, more confidence in overall product security, and faster security compliance for project clients.
| Product | Market Share (%) |
|---|---|
| Securonix Next-Gen SIEM | 0.8% |
| Snyk | 1.8% |
| Other | 97.4% |

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 5 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 9 |
| Large Enterprise | 21 |
Securonix Next-Gen SIEM is a security information and event management solution designed to provide advanced threat detection, response, and compliance capabilities. It leverages machine learning and big data analytics to offer a comprehensive security platform for modern enterprises.
Securonix Next-Gen SIEM utilizes advanced analytics and machine learning to detect complex threats that traditional SIEM solutions might miss. Its architecture is built on Hadoop, enabling scalability and the processing of large volumes of data in real-time. This allows organizations to gain deep insights into security incidents, prioritize threats, and automate response actions. The solution also includes behavior analytics to detect insider threats and unknown attacks, integrating seamlessly with existing IT infrastructure.
What are the critical features of Securonix Next-Gen SIEM?
What is the ROI expectations?
Securonix Next-Gen SIEM is implemented across various industries, including finance, healthcare, and retail. Its flexibility and advanced analytics capabilities make it suitable for environments with complex security needs. In finance, it helps detect fraud, while in healthcare, it ensures patient data security. In retail, it protects against data breaches and payment fraud.
In summary, Securonix Next-Gen SIEM offers advanced threat detection, scalability, and integration capabilities, making it a robust solution for modern enterprises.
Snyk excels in integrating security within the development lifecycle, providing teams with an AI Trust Platform that combines speed with security efficiency, ensuring robust AI application development.
Snyk empowers developers with AI-ready engines offering broad coverage, accuracy, and speed essential for modern development. With AI-powered visibility and security, Snyk allows proactive threat prevention and swift threat remediation. The platform supports shifts toward LLM engineering and AI code analysis, enhancing security and development productivity. Snyk collaborates with GenAI coding assistants for improved productivity and AI application threat management. Platform extensibility supports evolving standards with API access and native integrations, ensuring comprehensive and seamless security embedding in development tools.
What are Snyk's standout features?Industries leverage Snyk for security in CI/CD pipelines by automating checks for dependency vulnerabilities and managing open-source licenses. Its Docker and Kubernetes scanning capabilities enhance container security, supporting a proactive security approach. Integrations with platforms like GitHub and Azure DevOps optimize implementation across diverse software environments.
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