Security / AI Security
A Blue41 case study on how a banking AI assistant could be abused through indirect prompt injection, and what mitigation layers help reduce the risk.
The page is a clear, substantive AI-security case study with concrete evidence: it explains a real banking assistant attack scenario, the threat model, why guardrails were insufficient, and what layered mitigations Blue41 used. It is useful for security teams and builders working on AI assistants in regulated environments, and it offers enough detail for a public listing.
The crawl cuts off before the mitigation section is fully finished, so visitors cannot see the complete control set or implementation details. It also reads as a blog case study rather than a standalone product page, so the commercial offering and exact scope of the Blue41 service are not fully spelled out.
Last evaluated 10 days ago. Current rank #442. Down 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.
GitHub Marketplace app from NeuraLegion that scans apps and APIs for vulnerabilities, proposes fixes, and validates remediations inside GitHub workflows.
A honeypot telemetry and threat intelligence service with searchable IP lookups, recent scanner data, and an MCP/JSON-RPC API for agents and developers.
An open-source reference implementation for autonomous vulnerability discovery and remediation with Claude. It includes Claude Code skills for threat modeling, scanning, triage, patching, plus a harness for running a recon → find → verify → report → patch pipeline.
