Check Point AI Agent Security vs. Runlayer
A side-by-side comparison based on G2 review data.
| Metric | Check Point AI Agent Security | Runlayer |
|---|---|---|
| Overall rating | 4.2 | 4.6 |
| Review count | 12 | 18 |
| Ease of use | 8.6 | 8.9 |
| Ease of setup | 8.7 | 9.0 |
| Quality of support | 9.0 | 9.5 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 45.454545 | 72.222222 |
| Small Business | 50.0% | 11.1% |
| Mid-Market | 33.3% | 50.0% |
| Enterprise | 16.7% | 38.9% |
| Total page views | 194 | 90 |
| Total LLM citations | 672 | 80 |
Check Point AI Agent Security
Check Point AI Agent Security is a security platform for discovering, governing, and protecting AI agents that organizations build and deploy. It provides visibility into AI agents across supported cloud and low-code platforms, including their tools, Model Context Protocol (MCP) servers, permissions, and connected components. The platform assesses agent risk to help security teams identify unknown agents, risky configurations, excessive access, and other security exposures.
- Features
Runlayer
Runlayer is the leading AI control plane, with AI enablement, security, and control in one platform. Employees are running agents and connecting MCPs faster than Security can see them. Meanwhile, AI transformation leaders have to drive adoption and prove ROI without a playbook. Runlayer gives every employee the golden path to build agents and delegate real work to them, with security and control built in. Key capabilities: -Runlayer Agents: Build governed agents from natural language prompts, and Runlayer suggests the best model and harness.