AIM Intelligence AIM Red vs Mirror Security Discover: Side-by-Side Comparison (2026)

AIM Intelligence AIM Red

Enterprise and mid-market security teams validating large language model deployments should use AIM Intelligence AIM Red to automate what would otherwise require expensive manual red teaming; the tool's jailbreaking attack library (Crescendo, Many-shot, Pliny) and prompt injection testing execute attacks at scale that security teams couldn't feasibly run by hand. The platform's NIST coverage across Risk Assessment and Awareness training means your team gets structured metrics and documented attack scenarios to brief executives and retrain developers on real failure modes. Skip this if your organization isn't actively deploying LLMs to production or if your primary concern is securing traditional application infrastructure; AIM Red solves a specific problem for shops already committed to AI governance.

Mirror Security Discover

Security teams shipping LLM applications into production need Mirror Security Discover because prompt injection and model extraction attacks require continuous scanning tuned specifically for generative AI, not retrofitted from traditional application security tools. The platform integrates directly into CI/CD pipelines and tests RAG workflows and agentic behaviors that static analysis misses, mapping findings to NIST and MITRE ATLAS frameworks for risk quantification. Skip this if your primary concern is securing pre-trained models you're only consuming through APIs; Discover is built for teams building with and fine-tuning their own models.