AI-native platform + agent gateway
mAIndala vs TrueFoundry
TrueFoundry and mAIndala both bring governance to AI agents, but from different starting points. TrueFoundry is an AI-native platform — LLM Gateway, MCP Gateway, and Agent Gateway alongside model serving and LLMOps — built to run and route AI workloads with enterprise security certifications behind it. mAIndala focuses one layer up: attesting an agent’s definition before it runs, and producing a per-agent regulatory record independent of any platform, verifiable by a third party without access to either company.
What TrueFoundry does well
- A single platform spanning LLM Gateway (multi-provider routing, fallbacks, rate limits, cost controls), MCP Gateway (centralized discovery, authentication, and access control for tools and MCP servers), and Agent Gateway (a governed execution layer for agent workflows with RBAC and centralized identity) — plus model serving and LLMOps under the same roof.
- Organization-level security certifications — SOC 2, HIPAA, and GDPR — with deployment options spanning VPC, on-premises, air-gapped environments, and multi-cloud.
- Full audit trails for agent decisions and actions, end-to-end tracing across models and tools, and token- and cost-based quotas per agent.
- Enterprise adoption at scale: customers including NVIDIA, Cargill, Mavenir, Whatfix, Wadhwani AI, Aviva, ResMed, and Automation Anywhere, with a 9.9/10 G2 rating.
How mAIndala is different
Organizational certifications vs. per-agent regulatory evidence
SOC 2, HIPAA, and GDPR are attestations about TrueFoundry’s own controls as a vendor — real and valuable, and a different artifact from what a regulator or auditor asks about a specific agent. mAIndala’s governance record is generated by the enforcement point itself and exports as a signed, RFC 3161-timestamped file describing what one particular agent was permitted to do and did — verified offline by a third party, with no account or platform access on either side.
Attestation before the first call
mAIndala runs an automated, OWASP-aligned scan of an agent or tool’s definition before it enters a catalog, assigns a Verified, Partial, or Unrated status, and alerts if an approved definition later changes — governance of the definition itself, ahead of the execution layer TrueFoundry’s Agent Gateway governs.
Enforcement in the call path, plus a credential vault
Beyond routing and RBAC, mAIndala places a policy-controlled gateway in the path of every tool call — allow/deny per tool, DLP redaction, an instant kill-switch — and issues credentials scoped and short-lived from an encrypted vault rather than a held long-lived secret.
Vendor-neutral by construction
mAIndala governs agents built on LangGraph, CrewAI, Microsoft Copilot Studio, OpenAI, AWS Bedrock, Google Vertex, and in-house apps at the same four boundaries, backed by an open catalog of vetted MCP capabilities no single infrastructure vendor has a reason to provide neutrally.
Side by side
| Dimension | mAIndala | TrueFoundry |
|---|---|---|
| What gets governed | An agent’s definition, the credentials it acts with, the tools it reaches, and the record it leaves. | Agent workflows executed through a unified gateway — routing, RBAC, policy enforcement, and tracing across LLM, MCP, and agent traffic.[1] |
| Compliance artifact | A signed, RFC 3161-timestamped record of what a specific agent was permitted to do and did, verified offline by a third party. | Organization-level SOC 2, HIPAA, and GDPR certifications.[2] |
| Definition-level attestation | Automated, OWASP-aligned scan producing a Verified, Partial, or Unrated status before a capability enters a catalog, plus drift alerts if an approved definition later changes. | Not described as a definition-attestation workflow in public product material (reviewed 2026-08-25). |
| Auditability | Every governed call recorded and exportable as an independently verifiable, timestamped file. | Full audit trails for agent decisions and actions, with end-to-end execution tracing.[1] |
| Credential handling | Agents act with scoped, short-lived credentials issued from an encrypted vault, revocable with an instant kill-switch. | Centralized authentication and identity management for service accounts at the gateway layer, plus role-based access control over deployment and execution.[1] |
| Deployment model | A cloud-hosted platform governing agents wherever they are built or deployed. | VPC, on-premises, air-gapped, and multi-cloud deployment options.[1] |
| Regulatory framework coverage | Exports records relevant to common control frameworks, including the EU AI Act and the NIST AI Risk Management Framework. | SOC 2, HIPAA, and GDPR compliance certifications.[1] |
| Model selection | Choosing the model an agent runs on produces a record: the same agent run on several models against a byte-identical input, with each model’s cost, latency, token usage, and output-safety findings, and the verdict that followed — exported in the signed, independently timestamped evidence pack. | A Playground for manually trying different LLMs, prompts, and tool configurations and seeing the resulting token usage and latency, plus automatic latency-based routing and fallback between models at runtime — neither produces an exportable record of why one model was chosen over another.[4] |
When TrueFoundry is the better choice
- You need the LLMOps and model-serving platform as well as the gateway — multi-provider routing, deployment, and cost attribution under one vendor.
- Air-gapped, on-premises, or VPC deployment is a hard requirement for your environment.
- Organization-level SOC 2, HIPAA, and GDPR certifications are what your procurement process asks for, and you want a single vendor across model serving, routing, and agent tooling.
When mAIndala is the better choice
- A regulator or auditor needs evidence about what one specific agent was permitted to do and did, not just that your infrastructure vendor holds SOC 2 or HIPAA certification.
- You need attestation of an agent’s definition — a trust status and drift alerts — before it ever reaches production, not only governance of its execution.
- Your agents run across multiple platforms — Copilot Studio, Bedrock, Vertex, in-house apps — and you want one governance layer that treats them the same way, plus an open catalog of vetted capabilities.
Using both together
TrueFoundry’s gateway as the execution and routing plane, mAIndala as the layer that attests each agent’s definition before it runs and turns its activity into a per-agent regulatory record — a real pairing, since the two operate on different governed units.
Sources
- TrueFoundry — Agent Gateway — accessed 2026-08-25 (reference 1)
- TrueFoundry — homepage — accessed 2026-08-25 (reference 2)
- TrueFoundry — Agent Gateway blog announcement — accessed 2026-08-25 (reference 3)
- TrueFoundry — AI Gateway — accessed 2026-08-26 (reference 4)
Comparison last reviewed August 26, 2026 against publicly available information. See something out of date or inaccurate? Let us know.
TrueFoundry and any other product or company names mentioned are trademarks of their respective owners. mAIndala is not affiliated with, endorsed by, or sponsored by TrueFoundry.
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