Kanawai AI vs Trusys AI

Kanawai AI is a web-based enterprise platform for tracking organizational AI use, spend, governance, and security. It continuously discovers AI tools, plugins, and model endpoints, including unsanctioned tools, to maintain an inventory. Spend views attribute token use and cost to users, teams, workloads, models, and departments across connected providers. The platform can recommend lower-cost models when they may deliver the same outcome. For governance, it converts regulatory frameworks and internal policies into machine-enforceable rules, with ongoing evaluation, containment, evidence generation, and escalation. Listed assessment frameworks include NIST AI RMF, NIST CSF 2.0, HIPAA, GDPR, and CCPA. Kanawai says it works at the application layer through scoped OAuth 2.0, SAML 2.0, or OIDC flows, without endpoint agents or cloud-environment changes. Governance actions produce signed, tamper-evident artifacts with timestamps and chain-of-custody logs. Deployments can be in the United States, Europe, or Asia with full data isolation. The AI FinOps Pilot costs nothing for 30 days; a paid subscription is optional afterward. Pricing is available on request, and there is no free plan.

Trusys AI is an enterprise platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle. Its Argus-orchestrated tools cover agent evaluation, automated security testing, runtime observability, policy enforcement, and code scanning. TruScout tests for vulnerabilities, jailbreaks, and harmful outputs while validating compliance. TruEval measures behavior across tool use, multi-turn reasoning, memory, delegation, and collaboration using more than 75 scoring metrics. TruPulse traces agent actions and lineage, and monitors for drift, memory corruption, and policy violations in production. TruGuard applies rules at input, output, and action stages, including checks for injection attempts, data exposure, and unauthorized tool use. Agents connect through API, SDK, or MCP, and deployment is available as managed cloud hosting or self-hosting in a customer data center. The maker says customer prompts, datasets, and results stay in the customer environment and are not used to train its models. Starter is free; Professional is $69 a month, billed per user per month.