- AI Governance
- Application
- Artificial Intelligence
- Compliance
- Cybersecurity
- Enterprise
- Enterprise AI
- Inference
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Who is Trustwise?
Trustwise is a private company that develops software for evaluating, monitoring, and enforcing the reliability, safety, and policy compliance of artificial intelligence applications, including large language model and agentic systems, through runtime guardrails and trust scoring.
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- AI evaluation and trust scoring for model outputs
- Runtime guardrails for large language model and agentic applications
- Observability and monitoring of AI system behavior
- Policy enforcement and AI governance controls
- Security and compliance tooling for enterprise AI deployments
More About Trustwise
Trustwise positions its offerings for enterprise environments where organizations deploy AI systems into customer-facing, regulated, or internal operational workflows and require measurable assurance over model behavior. Deployments typically sit between application code and underlying model providers, where evaluation and enforcement functions can inspect prompts, retrieved context, and generated responses before they reach users or downstream systems.
Architecturally, the offerings are associated with evaluation pipelines, guardrail layers, and policy-based controls that operate at inference time. Technologies commonly associated with this solution category include API-based integration, telemetry for tracing model calls, and evaluation methods that measure hallucination, toxicity, data leakage, and adherence to instructions. Trust scoring consolidates multiple evaluation dimensions into metrics that engineering and risk teams can track over time.
At the category level, the offerings overlap with AI observability platforms, AI security tooling for large language models, and AI governance platforms. The distinguishing emphasis of this category is runtime verification and quantified trust measures, in addition to pre-deployment model testing.
For infrastructure leaders, the value of this category lies in creating auditable records of AI decisions, reducing exposure to unsafe outputs, and supporting internal review processes for AI risk. Organizations adopting agentic architectures face additional requirements around tool-use permissions and action verification, which these controls address.
Trustwise's current solution areas include AI evaluation, runtime guardrails, and governance, aligned with the enterprise AI trust and assurance category.
Our description of Trustwise. Updated October 2026.
