IoT Security vs. Corelight
A side-by-side comparison based on G2 review data.
| Metric | IoT Security | Corelight |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 12 | 20 |
| Ease of use | 9.6 | 8.7 |
| Ease of setup | 9.3 | 8.8 |
| Quality of support | 9.2 | 9.2 |
| Meets requirements | 9.2 | 9.4 |
| NPS | 75 | 80 |
| Small Business | 41.7% | 0.0% |
| Mid-Market | 25.0% | 50.0% |
| Enterprise | 33.3% | 50.0% |
| Total page views | 146 | 540 |
| Total LLM citations | 295 | 2,498 |
IoT Security
To instill trust in the diverse IoT infrastructure, ZingBox invented the IoT personality-based approach to secure IoT. Each IoT device exhibits certain limited set of functions, flow and vulnerabilities regardless of where it is deployed, a.k.a IoT personality. This approach discerns each device's behaviors and detects any unusual activities to enforce trust amongst connected devices. Traditional security solutions focus on data protection; ZingBox goes further to provide service protection for business continuity.
Corelight
Corelight's Open Network Detection and Response (NDR) Platform improves network detection coverage, accelerates incident response, and reduces operational costs by consolidating NDR, intrusion detection (IDS), and PCAP functionality in a single solution and by providing security analysts with machine learning-assisted investigations and one-click-pivots from prioritized alerts to the evidence needed to investigate and remediate them. Network Detection and Response platforms monitor and analyze network traffic, delivering telemetry into existing SIEM, XDR, or SaaS-based solutions.
- Security
- Security Features
- Comprehensive Security
- Cybersecurity
- Network Security
- Threat Detection