Security

Problem AI agents (Claude, GPT, Gemini) use external tools via MCP servers, plugins, and skills, but there’s no way to verify their security: RankClaw’s audit found 1,103 malicious skills out of 14,706 OpenClaw skills (7.5%) MCP servers directly access file systems, databases, and APIs with no security verification framework AI agent supply chain attacks are an emerging real-world threat Existing tools are open-source scanners only — no paid SaaS service exists Pain Intensity: 8/10 - Security gap widening alongside MCP adoption surge ...

Problem Startups and SMBs face a critical “Bus Factor” problem in their infrastructure: All secrets, deploy keys, and server access are concentrated in 1-2 key infrastructure engineers When key personnel become suddenly unavailable (resignation, accident, unreachable), secret rotation is manual Access revocation, backup notification, and emergency procedures are undocumented or unexecutable Existing secret management tools (Vault, Infisical) handle storage/rotation only — no “auto-respond when key person is absent” Pain Intensity: 7/10 - Latent in normal times but catastrophic when triggered; a structural problem every team recognizes ...

Problem Definition As AI coding tools (Copilot, Cursor, etc.) become mainstream, developers face new challenges: No Quality Gate: AI-generated code goes straight to production with placeholder comments, TODOs, and broken imports Lack of Design Thinking: “Vibe Coding” phenomenon - developers accept AI output without critical thinking Security Vulnerabilities: AI-generated code gets committed without security review According to the 2026 Stack Overflow survey, 84% of developers use AI tools, and 41% of new code is AI-assisted. ...

The Problem (Pain Level: 7/10) Indie developers and small SaaS teams struggle with security vulnerability management: Existing security scanners are too expensive or complex Enterprise tools take hours to days to set up Interpreting results is difficult without security expertise Features are overkill for small projects As a result, many indie SaaS products run with basic security vulnerabilities unaddressed. Target Market Global Indie Developers/Micro-SaaS - Estimated TAM $500M+ Solo developers, small startups Indie Hackers, Reddit r/SideProject community Developers hosting projects on GitHub Full-stack developers who aren’t security specialists What is Micro-SaaS Security Scanner? A simple security tool that lets you complete your first security scan within 10 minutes after connecting your GitHub repo. ...