AI Security Guard vs Ryph
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AI Security Guard compared with Ryph
| Detail | 
AI Security Guard | 
Ryph |
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| What it does | Research-backed education and tools for securing autonomous AI agents
| Open-source AI agent orchestration platform for incident response and automation
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| Stage | Startup
| Not given
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| Founded | 2025
| Not given
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| Based in | US
| Not given
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| Pricing model | Paid
| Open source
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| Pricing | Not given
| Not given
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| Key features | - AgentGuard360 dashboard and Agent Proxy Tool Interface
- Supply chain protection blocking 11,000+ known malicious pip and npm packages
- 14-phase device hardening scans with predictive risk analytics
- Machine-learning-aided runtime scanning of agent content
- Jailbreak detection and prompt injection prevention
- Privacy-first architecture keeps data on device by default
- 500+ model pricing with budget tracking
- Protection SDK with single function call content scanning
- Learning Center with guides, how-tos, and CVE analysis
- Original research on agentic AI and LLM cost optimization
| - Incident response with agent investigation and pull request generation
- Automated workflows triggered on schedules or webhooks
- Agent summoning from GitHub, GitLab and Radicle with /ryph command
- Semantic memory system for shared and persistent agent learning
- Credentials kept behind gateways with no access in sandbox
- Customized environments per repository with cached dependencies
- Browser use for agent interactions with live watching
- Artifacts and pages for reports and overviews
- Deployment options from laptop to Kubernetes
- Tool proxy with allowlisted MCP server integrations
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| What makes it different | - No PhD in security required to protect AI agents
- Free resources and research with optional paid tools
- Secure agents and environments in five minutes
| - Agents work without holding real credentials or keys
- Changes ship as patches that require review before merge
- Runs on your own infrastructure from laptop to cloud
- Semantic memory learns across runs with deduplication and contradiction handling
- Built-in safety assuming agents can be manipulated or exploited
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 18 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
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| Citation Flow (Majestic) | 27 | 0 |
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| Referring domains (Majestic) | 86 | 0 |
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4 details filled in for both companies.
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