Trustwise Reports Strong Enterprise Momentum as Trust Posture Management Becomes Critical for Agentic AI.
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• By Use Case
Five use cases. One AI lifecycle.
From discovering what agents exist across your connected systems, through evaluating them, controlling them at runtime, observing drift, and producing audit-ready evidence Trustwise covers every stage of the AI control lifecycle in one platform.
Stage 01
Discover & classify
Stage 02
Evaluate & red-team
Stage 03
Evaluate & red-team
Stage 04
Observe drift
Stage 05
Govern & report
Use case 01
Agent Discovery & Risk Classification
Discover the AI agents flowing through your AI Gateways, agentic frameworks, and model providers and classify each one against tiered risk criteria before it acts on enterprise systems.
Tier 1 · Critical
Tier 2 · High
Tier 3 · Moderate
Tier 4 · Low
Use case 02
Evaluation & Red-Teaming
Stress-test agents against adversarial prompts, prompt injection, jailbreak attempts, and policy violations before they reach production and on every change after.
Jailbreak resistance
Prompt injection
Prompt injection
Safety regressions
Use case 03
Runtime Control & Guardrails
Enforce policy-as-code on every prompt, decision, and tool call. Authorize, block, escalate, or degrade actions before they execute with PII redaction and tool-call authorization in line.
Policy-as-code
PII redaction
Tool-call authorization
Human-in-the-loop
Use case 04
Observability & Drift Detection
Monitor behavior, accuracy, cost, and safety signals across the agent fleet. Catch drift, regressions, and emerging failure modes before they show up in customer outcomes. OTel-native exportBehavior driftCost & latency
OTel-native export
Behavior drift
Cost & latency
Anomaly alerts
Use case 05
Governance & Audit Reporting
Turn runtime evidence into audit-ready reports mapped to NIST AI RMF, EU AI Act, and ISO 42001. The same controls that govern your agents produce the proof your regulators, auditors, and board require on demand, not on deadline.
NIST AI RMF
EU AI Act
ISO 42001
Evidence on demand
Underneath every lens
Whichever lens you start from,
the control plane is the same.
The AI Control Tower runs continuously across every role, use case, and industry. Three stages produce durable artifacts that feed the next.
01 / Assess
Classify before deploy
Map agent capabilities, authority, and exposure. Classify risk and blast radius before anything reaches production.
02 / Control
Enforce before execute
Develop a comprehensive policy that outlines the procedures for authorizing, blocking, escalating, or degrading actions based on solid evidence.
03 / Optimize
Improve continuously
Tighten policy coverage, reduce drift, lower cost, and expand what your agents are trusted to do next.
From discovery through audit — in one platform
Map your AI lifecycle. to runtime control.
Bring a real workflow. We’ll walk you through every stage
discovery, evaluation, control, observability, and audit against your environment.