Trusys AI

Overview

Trusys AI is an enterprise platform for evaluating, monitoring, securing, and governing AI systems across their lifecycle. It is best suited to organizations with production agents and dedicated engineering, security, or compliance ownership. Its strongest case is combining agent assurance with deployment flexibility; teams should weigh that breadth against per-user billing and usage caps on the paid plan.

Argus orchestrates evaluation, red teaming, runtime observability, policy enforcement, and code scanning. That scope can give teams one assurance workflow across development and production, rather than treating security checks and operational oversight as separate concerns.

Key features

TruEval examines tool use, multi-turn reasoning, memory persistence, delegation, and collaboration across more than 75 scoring metrics. This depth suits teams that need to assess varied agent behaviors, though the Professional plan's monthly metric quota means frequent or broad evaluation runs may incur extra charges.

TruScout automates security testing and compliance validation for vulnerabilities, jailbreaks, and harmful outputs. TruPulse traces agent actions and lineage in production, with monitoring for behavioral drift, memory corruption, and policy violations. Together, those tools span pre-deployment checks and ongoing oversight, which is more useful for teams operating agents than for organizations still exploring isolated prototypes.

TruGuard applies policies at agent input, output, and action layers, including checks for prompt injection, confidential information exposure, and unauthorized tool use. The breadth of those control points is valuable where agents can access sensitive data or tools; teams should still determine how its policies fit their own governance requirements.

SaaS agents connect through an API, custom agents through an SDK, and coding agents through MCP. Trusys also lists LangGraph, CrewAI, and AutoGen integrations. The maker says it is SOC 2 Type II certified, encrypts evaluation data at rest and in transit, and keeps prompts, datasets, and results in the customer environment without using them to train its models. It lists GDPR, HIPAA, DPDP, EU AI Act, ISO 42001, RBI AI guidelines, OWASP Top 10, NIST, and MITRE ATLAS among its compliance frameworks.

Pricing

The free Starter plan is billed forever at no cost. It allows one application, unlimited functional and security evaluations, 5,000 metrics per month, 30,000 production spans, 30 days of data retention, and unlimited prompt libraries and datasets. That is a useful way to begin evaluating the workflow, but one application and short retention make it a constrained choice for a growing production estate.

Professional costs $69 a month, billed per user per month. It raises the allowance to five applications, 30,000 metrics per month, 200,000 production spans, and 180 days of retention. Over-quota metrics and spans cost extra, so per-user fees are not the full cost for teams with heavy evaluation or monitoring workloads.

Enterprise has customised pricing. It includes 365 days of retention, unlimited applications and projects, on-prem hosting, and dedicated support. This is the clearest fit for organizations that need broader scale or an on-premises deployment, though buyers will need a custom quote.

A free trial is offered for TruScout without a credit card requirement. The product page also advertises 24/7 enterprise support.

Platforms

Trusys supports API and web access, alongside self-hosted deployment in a customer's data center. The maker describes deployment options as hybrid and also offers a fully managed cloud-hosted service. This range matters for organizations with data residency or operational constraints; on-prem hosting is specifically included in Enterprise.

Who it's for

Trusys is aimed at CISOs, Chief AI Officers, GRC and compliance leaders, AI and ML engineering teams, and platform engineering leads responsible for production agents. It is a stronger match for organizations that need evaluation, controls, and monitoring across an agent lifecycle than for buyers seeking a narrowly scoped standalone testing tool.

Pros and cons

• Broad lifecycle coverage: evaluation, red teaming, runtime tracing, policy enforcement, and code scanning sit under one platform.
• Multiple integration routes: API, SDK, and MCP support address SaaS, custom, and coding agents, with named integrations for LangGraph, CrewAI, and AutoGen.
• Flexible deployment: managed cloud and self-hosted options accommodate different operating requirements.
• Starter has real quotas: one application, 5,000 monthly metrics, 30,000 spans, and 30-day retention may limit sustained production use.
• Professional costs can grow: the per-user monthly fee is supplemented by charges for metrics and spans above quota.

Alternatives

For a wider shortlist, browse AI Governance Software.

• Prufer is another freemium API and web option; its free plan retains audit data for seven days and has no uptime guarantee or SLA credits.
• Verisum is a freemium API and web alternative with a free Explorer plan; choose it if its assessment-focused offering better fits your needs.
• Openlayer Guardrails is a freemium API, self-hosted, and web option with a free Basic plan covering one member, five projects, and 20,000 inference logs per month.
• SAS/STAT is a paid option for Linux, macOS, Windows, self-hosted, and web environments, with pricing available by contacting SAS.
• AI Verify is a free, open-source toolkit under the Apache 2.0 license, with API, Linux, self-hosted, and web support.
• AIGovernr is a freemium web option; its Professional plan is $79 a month and includes unlimited website scans.
• Collibra is a paid API, extension, self-hosted, and web platform with pricing available by demo request.
• Grasp is a paid web, Windows, and macOS alternative.

Verdict

Choose Trusys AI if your organization needs agent evaluation, security checks, production monitoring, and policy controls in one platform, especially when self-hosting matters. Its breadth and deployment choices are the main reasons to consider it; teams with high usage should look closely at Professional's per-user charge and over-quota costs, while smaller operations may find Starter's application and retention limits restrictive.