| What it does | Make your software secure itself with autonomous security workers
| AI security for chatbots, RAG systems, and agentic workflows
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| Stage | Not given
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| Pricing model | Freemium
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| Pricing | Open source: free with unlimited usage. Private repositories: Free ($0), Starter ($499/month, 500 credits/month), Growth ($1,499/month, 2,000 credits/month), Scale (starts at $3,999/month, 6,000 credits/month). Annual plans include 20% more credits. Credits cost varies by security worker: PR Securit
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| Key features | - PR Security to stop risky code and untrusted contributors before they merge
- Secure Dependency Updates to turn vulnerable dependencies into tested, merge-ready pull requests
- Red Team to find exploit paths attackers would use before they do
- Agent Guardrails to let agents run without leaking secrets or breaking policy
- Security-One 27B decision model for always-on security triage
- Integration with existing tools and workflows without replacement
- Self-learning loop that improves security over time
- Protects applications, repositories, agents, and infrastructure
- API and MCP access across all plans
- Agent-to-agent remediation
| - Intent envelope specification with open JSON Schema
- Multi-turn jailbreak and injection testing across web, mobile, and voice
- Deterministic execution boundary enforcing tool allowlists
- Human-in-the-loop escalation for high-impact actions
- Identity and credential separation per agent
- Supervisor check for independent action validation
- Free AI attack surface assessment tool
- Findings mapped to OWASP, MITRE ATLAS, and NIST AI RMF
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| What makes it different | - Free for open source with unlimited usage across 3,000+ GitHub projects
- Security workers that each own one security job end to end
- Integrates seamlessly with existing tools without replacement needed
- Self-learning system that improves with each run
- Built by founders with 15+ years together and experience at Google, Klarna, and Trustly
| - Open-source intent envelope specification implementable with own engineers
- Calibrated defenses from red team findings rather than off-the-shelf policies
- Findings carried through to runtime controls and access changes, not just reports
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 64 ● no change since last check | 1 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 40 | 12 |
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| Referring domains (Majestic) | 609 | 1 |
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SecuredAI