Coalfire AI / ML Testing + Threat Hunting vs TrojAI Detect: Side-by-Side Comparison (2026)

Coalfire AI / ML Testing + Threat Hunting

Enterprise and mid-market security teams deploying AI models in production need manual, adversarial testing of those models before attackers find the gaps; Coalfire AI / ML Testing + Threat Hunting brings in security professionals who simulate real attack patterns against your model architecture and training data pipelines rather than running automated scans. The service maps directly to NIST CSF 2.0 ID.RA (understanding AI-specific risks to your organization) and PR.PS (securing the platform layers where models run), which most vulnerability scanners skip entirely. Skip this if you're looking for continuous, autonomous monitoring of model drift or inference anomalies; Coalfire is assessment-driven and engagement-based, not a 24/7 detection platform.

TrojAI Detect

Enterprise security teams building LLM applications need TrojAI Detect because it tests AI models for the vulnerabilities that traditional pentesting misses: prompt injection, jailbreaking, and data poisoning at scale. The 150+ built-in tests plus custom test creation means your team can stress models against real attack patterns without hiring dedicated AI red teamers. Skip this if your organization hasn't deployed large language models in production yet; the tool assumes you're already shipping AI and need to validate it didn't inherit security blind spots.