Security / AI App Pentesting
AI-native application protection platform with autonomous LLM pentesting, proof-of-concept exploit findings, and a full API-driven workflow for scans, reporting, and remediation.
The page clearly presents a real security product for AI apps, with documentation, browser and API quickstarts, and concrete scan/reporting workflows. It describes autonomous testing against chatbots, agents, RAG endpoints, and related infrastructure, with reproducible proof-of-concept findings and remediation output. The snapshot provides enough evidence for a useful public listing.
The crawl shows strong product detail, but it is still hard to tell how results are validated in practice, what model or exploit coverage limits exist, and how pricing, plan differences, or enterprise controls compare beyond the high-level claims.
Last evaluated 6 days ago. Current rank #544. Up 2 spots in the rankings.
Open-source security scanner for AI agents, MCP servers, and agent skills. It auto-discovers installed agent components and checks them for prompt injection, tool poisoning, secrets, malware payloads, and related risks.
Open-source security agent framework for cloud, code, and runtime. It ships 45 built-in agents for AWS, GCP, Azure, Kubernetes, GitHub, and GitLab, and lets users create custom agents in a single markdown file.
Self-hosted AI security testing platform for authorized pentesting and bug bounty workflows, with a local web UI, live agent telemetry, verified findings, and branded PDF reports.
GitHub Marketplace app from NeuraLegion that scans apps and APIs for vulnerabilities, proposes fixes, and validates remediations inside GitHub workflows.
