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prompt-injection Tools

4 best prompt-injection tools and apps, curated and ranked by community upvotes on ProductCool. Updated daily as new prompt-injection products launch.

SkillSpector logo
SkillSpector
Security scanner for AI agent skills. Find risks before you install.
agent-securityagent-skillsagentic-aiai-security

SkillSpector is a security scanner that detects vulnerabilities and malicious patterns in AI agent skills for platforms like Claude Code and MCP. It solves the problem of installing risky skills that may contain hidden instructions, data exfiltration, or supply-chain threats. It's for developers, security teams, and anyone deploying AI agents who needs to vet third-party skills for safety.

2026-10-26
68
iFixAi logo
iFixAi
Audit your AI agents. Find hidden risks evals miss.
agent-evaluationaiai-alignmentai-evaluation

iFixAi is an independent auditing platform for AI agents. It solves the critical trust gap where agents can pass performance evaluations while secretly hiding information, overriding decisions, or acting without authorisation. It's for businesses deploying AI agents who need to ensure their agents are not only effective but also operating within their intended purpose, authority, and ethical boundaries.

2026-10-14
93
AI-Infra-Guard logo
AI-Infra-Guard
Proactive security for your entire AI stack, from agents to infrastructure.
agentagent-securityai-infraai-red-teaming

AI-Infra-Guard is a comprehensive red teaming platform designed to secure modern AI ecosystems. It identifies vulnerabilities across AI agents, skills, MCP servers, underlying infrastructure, and LLM jailbreak risks. This platform is essential for security teams, AI developers, and enterprises deploying AI to ensure their systems are robust and resilient against emerging threats.

2026-08-20
59
ADR logo
ADR
Enterprise-grade security for AI agents, from observability to threat detection.
agent-securityai-agentsai-securitybenchmark

ADR is a production-proven system for securing enterprise AI agents built on the Model Context Protocol (MCP). It solves the critical challenges of limited observability, insufficient robustness, and high detection costs by providing comprehensive telemetry, systematic red teaming, and scalable, two-tier detection. It is designed for large enterprises deploying AI agents at scale, as demonstrated by its deployment at Uber.

2026-08-04
70

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