Show HN: Tripwire – sandboxed security scanner for AI skills and MCP servers
Sentrint is a security scanner for SaaS applications that uses AI to identify vulnerabilities. It helps developers and security teams find and fix security issues in their SaaS products.
Sentrint is a security scanner for SaaS applications that uses AI to identify vulnerabilities. It helps developers and security teams find and fix security issues in their SaaS products.
Show HN: Rowan, an open-source SAST scanner for AI apps (code, models, MCP)
Show HN: Rowan, an open-source SAST scanner for AI apps (code, models, MCP)
A security scanner that analyzes AI agent skills (packaged instructions/tools) for malicious code or hidden instructions before installation. It uses LLMs to inspect skill contents and flag threats. It targets developers and teams deploying agent skills who need to vet third-party packages.
A security scanner that analyzes AI agent skills (packaged instructions/tools) for malicious code or hidden instructions before installation. It uses LLMs to inspect skill contents and flag threats. It targets developers and teams deploying agent skills who need to vet third-party packages.
Sentrint is a security scanner designed for projects built with LLMs. It helps developers identify vulnerabilities specific to AI-generated code, addressing the unique security challenges introduced by LLM-assisted development.
Sentrint is a security scanner designed for projects built with LLMs. It helps developers identify vulnerabilities specific to AI-generated code, addressing the unique security challenges introduced by LLM-assisted development.
Xalgorix is an open-source AI-powered penetration testing tool that autonomously identifies and proves vulnerabilities in applications. It uses LLMs to reason about attack paths and generate evidence, helping security teams validate real risks without manual exploitation.
Xalgorix is an open-source AI-powered penetration testing tool that autonomously identifies and proves vulnerabilities in applications. It uses LLMs to reason about attack paths and generate evidence, helping security teams validate real risks without manual exploitation.