A supervising agent that decomposes work across specialist sub-agents — where a single misrouted step can cascade, so tracing the full chain back to one instance matters more than any individual agent's output.
Framework to inventory agents, map dependencies, detect context poisoning and prompt injection, and apply behavioral and static analysis to secure multi-agent AI.
SecurityMAESTRO maps AI agent security into seven layers to identify and mitigate adversarial attacks, data poisoning, impersonation, and runtime threats.
Prefactor helps teams observe, evaluate, and improve their AI agents in production — across every framework and provider.