AI Detection and Response (AIDR) vs Impart LLM Security: Side-by-Side Comparison (2026)

AI Detection and Response (AIDR)

Enterprise and mid-market security teams deploying AI agents across multiple environments need AI Detection and Response because shadow AI and data leakage through LLMs represent detection gaps your existing stack won't catch. Zenity covers the full monitoring lifecycle from asset discovery through incident response with compliance tracking built in, addressing the ID.AM through DE.AE chain that traditional security tools skip entirely. This isn't for organizations still piloting a single internal AI app; AIDR assumes you're already managing a sprawl of SaaS agents, custom applications, and device-based models that your SIEM doesn't see.

Impart LLM Security

Teams deploying internal LLM applications without visibility into what models are running or how they're being used should start with Impart LLM Security; automatic model discovery and prompt injection detection address the asymmetry where developers move faster than security can audit. The platform maps to NIST ID.AM and DE.CM strongly, meaning you get asset visibility and continuous monitoring without needing to retrofit logging into every LLM integration. Skip this if your organization hasn't shipped LLM features to production yet or if you need data loss prevention tools that also handle traditional SaaS applications; Impart's focus is narrow by design.