Research Library
Explore our research, benchmarks, and practical guides on enterprise AI and software.
- Vulnerability ManagementOpen World EvaluationOct 23
Top 6 Vulnerability Scanning Tools
Vulnerability scanning tools identify security weaknesses in networks, applications, and systems. Organizations evaluate these tools based on scanning methods (DAST/IAST/SCA), SIEM integration, deployment options, and pricing. Our analysis covers six tools: two network and host scanners, two web application scanners, one endpoint-based CVE layer, and one SIEM with built-in scanning. Follow the links to see…
- Data Loss PreventionFeature ComparisonOct 23
Top 10 Microsoft Purview Alternatives
Though Microsoft Purview is a popular DLP software, it can be hard to use and provides limited policy customization options. We analyzed the top 10 DLP products across five dimensions to identify the top Microsoft Purview alternatives. See their features, strengths, and weaknesses: * Based on the total number of reviews and average ratings (on…
- MDMFeature ComparisonOct 23
Mobile Device Management Pricing Comparison: 10 Products
Understanding pricing is crucial for Mobile Device Management (MDM) software since its cost typically grows with your organization. Pricing models include: Cost per device and per technician. Compare MDM products: Ranking: Subscribers of AIMultiple’s benchmarking services first; other products from least to most expensive. Quote-based products last. *NinjaOne’s published range: $3.75 at 50 or fewer…
- Sentiment AnalysisInsightOct 23
Top 8 Methods for Audio Sentiment Analysis
As the number of consumers increases and users’ data accumulates daily, a data explosion is no surprise. Companies use data collection and analytics to improve sales, customer insights, or brand reputation. Even though voice data is the most direct feedback businesses receive from customers, they often overlook its importance. To better understand how customers evaluate…
- Network SecurityInsightOct 23
7 Network Security Use Cases
Network security protects the systems, traffic, and accounts that run an organization. We examine seven network security use cases each a real-world example, ranging from detecting insider threats to managing privileged access. 55% of respondents named a negligent or mistaken employee as the most likely cause of insider risk. Another 20% pointed to an insider…
- Data ScienceInsightOct 23
AI Data Quality: Challenges & Best Practices
Poor data quality delays the successful deployment of AI and ML projects. Even the most advanced AI algorithms can yield flawed results if the underlying data is of low quality. Explore the importance of data quality in AI, the challenges organizations encounter, and the best practices for ensuring high-quality data: Data quality is essential for…