Cybersecurity Analytics Solutions and Platform
Embedded Analytics Combined with Powerful Automation

Cybersecurity Analytics Built for Real-Time Action
Every customer wants their own view of their data and one-size-fits-all reporting leaves them wanting more. Qrvey is how cybersecurity companies deliver the self-service experience customers want in a fraction of the time.

Enterprise Scale and Security
Process billions of records with a self-hosted solution giving you ultimate control over your analytics data and infrastructure costs.

Advanced Automation
Qrvey has the only no-code embeddable workflow automation builder so customers can set up custom alerts and data-driven actions.

Native Data Lake
Qrvey achieves this scale with a native data lake that includes a semantic layer for easy integration into your existing user security model.
Cybersecurity Analytics Software
Built for SaaS Companies
Data security is absolutely critical for SaaS companies operating in the security analytics software space. Customers entrust SaaS providers with sensitive data and expect best-in-class security measures to safeguard it.
Qrvey operates as a self-hosted solution so we can offer and support:

User and data level access controls

Encryption and data loss prevention

Rigorous testing and updates on your schedule

STOP BUILDING EVERYTHING
Better Analytics 10x Faster
Software development teams can ship better analytics features 10x faster with Qrvey than building in-house.
Explore the Platform
Embedded Dashboards and Builder
Go beyond static dashboards and let your users create their own interactive dashboards within your SaaS application.
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Native Data Management
Engineers can offload the heavy lifting of building an analytics warehouse. Qrvey’s data lake is powered by Elasticsearch for scale and cost efficiency.
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Custom Experiences
APIs allow product teams to go beyond dashboards to support use cases like dataset creation and custom data collection.
Learn MoreKey Capabilities of Qrvey for CyberSecurity Analytics

Real-Time Data Processing
Spot trends in real-time, support rapid decision-making and reduce risk with real-time data analysis.

Enterprise Scale
Efficiently scale to billions of records and increase concurrent user access while lowering infrastructure costs.

Integrated AI
Integrated AI for predictive analytics, improving accuracy, and personalizing operational reporting.

Multi-Tenant Data Lake
Scale analytics offering by combining data sources into a scalable central analytics layer for multi-tenant apps.

Data Governance
Manage data security by ensuring data quality, regulatory compliance, and effective data stewardship.

Integration Ready
Unified data pipeline supporting integrations from enterprise systems, applications, and all data sources.

Self-Service Analytics
Empower users to build their own custom dashboards using Qrvey’s multi-tenant security layer and embedded builders.

Embedded Data Visualization
Advanced data visualization tools for intuitive insights through interactive and real-time dashboards for cybersecurity.

Support
Your success is our success. Our award willing support team is with your every step of the way.
Analytics for Those Who Want More
Build Less Software. Deliver More Value.
FAQs About Cybersecurity Analytics Software
Cybersecurity analytics involves collecting and analyzing data from networks, endpoints, applications, users, threats etc. to monitor activity, detect threats, and improve security defenses.
- Chief Information Security Officers (CISOs)
- Cybersecurity analysts and engineers
- IT and security operations teams
- Incident response teams
- Network administrators
- Cyber threat intelligence teams
- Network activity monitoring – Analyze network traffic data to detect anomalies and threats.
- User behavior analytics – Identify abnormal user activity based on profiles.
- Malware analysis – Reverse engineer malware samples to understand threat actor methods.
- Security operations center (SOC) – Centralized monitoring, detection, investigation.
- Threat hunting – Proactively search through data to detect advanced threats.
- Incident response – Rapid forensic analysis to determine impact and containment steps.
- Security audits – Assess configurations, controls, and vulnerabilities.
- Risk quantification – Calculate cyber risk exposure to guide security investments.