TrustModel Platform
Identify AI risks, map trust boundaries, recommend controls, and generate executive-ready reports before AI systems move into production.
TrustModel.ai helps security and engineering teams convert AI architecture into clear threat models, controls, and governance evidence.
Capture business use case, users, data flows, model usage, cloud services, APIs, and third-party tools.
Map risks across prompt injection, data poisoning, insecure plugins, RAG leakage, agent misuse, and model abuse.
Prioritize AI risks based on likelihood, impact, data sensitivity, exposure, and control maturity.
Recommend practical controls across IAM, encryption, private networking, logging, monitoring, and approvals.
Map controls to NIST, ISO 27001, SOC 2, HIPAA, GDPR, and FedRAMP-ready security expectations.
Create security summaries, risk findings, design decisions, and remediation guidance for leadership and auditors.
Use TrustModel.ai before AI applications reach production.
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