Introduction

Lasso Security has become one of the leading enterprise AI security platforms, helping organizations secure AI applications through runtime protection, guardrails, prompt injection detection, and AI governance.

One question prospective customers quickly run into, however, is pricing. Unlike many developer tools, Lasso doesn't publish standard pricing tiers on its website. Instead, organizations work directly with the sales team to receive a custom quote based on their deployment and usage requirements.

In this guide, we'll explain how Lasso Security pricing works, the factors that influence cost, and how it compares with alternatives that offer more transparent pricing models.

What Lasso actually sells

Lasso is sold as one enterprise product spanning five capability areas: Discovery & AI-BOM (inventorying agents and the tools/MCP servers they call), AI Security Posture Management (misconfiguration and policy gap analysis against NIST and OWASP), Automated AI Red Teaming (adversarial testing across a library the company describes as covering 3,000+ attack types and techniques), Runtime Enforcement (policy applied at the proxy, API, or AI Gateway layer), and AI Detection & Response (threat detection aligned to MITRE and OWASP). The company reports sub-50ms decision latency and a 98.6% detection accuracy rate.

Notably, Lasso enforces policy at the proxy, API, or AI Gateway layer, meaning it's designed to sit alongside a gateway, not replace one. That distinction matters for pricing, because it means Lasso's cost is additive to whatever you're already paying for AI Gateway or LLM routing infrastructure.

Why Lasso doesn't publish pricing

Lasso is positioned for enterprise security teams securing agentic AI at scale, and the platform is described as being sold as a single product rather than priced per module (Discover, Assess, Test, Enforce, Protect are bundled, not separately metered). That kind of packaging tends to go with custom enterprise deals rather than self-serve tiers.

What drives the cost up or down

• Number of agents and applications discovered. Discovery & AI-BOM inventories every agentic application in your environment; a company with hundreds of internal agents will have a larger deployment scope than one piloting a handful.
• Deployment breadth. Runtime enforcement happens at the proxy, API, or gateway layer, so covering multiple integration points (CI/CD, cloud platforms like Vertex AI or Bedrock, Salesforce, homegrown apps) likely expands scope versus a single integration point.
• On-prem or higher-tier deployment. Larger deployments that include on-premises components or agentic workload coverage across more endpoints typically sit at a higher tier than runtime-only, cloud-only deployments.
• Compliance and audit requirements. Lasso's AI-SPM module aligns to NIST and OWASP, with runtime detection aligned to MITRE. Regulated buyers needing audit-ready reporting should expect that to factor into the quote.

What's included vs what costs extra

Because Lasso bundles Discover, Assess, Test, Enforce, and Protect into one product rather than separate line items, there's less risk of surprise module upcharges than with a per-feature pricing model. The tradeoff is less visibility into which capabilities you're actually paying for if you only need one or two of the five (say, runtime enforcement without full red-teaming).

TrueFoundry AI Gateway: guardrails as a feature, not a separate vendor

Lasso Security is designed to work alongside an existing AI Gateway, adding runtime protection, policy enforcement, and AI security controls as a separate layer. TrueFoundry takes a different approach by building many of these guardrail capabilities directly into its AI Gateway, reducing the need to deploy and manage a separate security product for common governance requirements.

TrueFoundry includes built-in input and output guardrails for use cases such as PII detection and toxicity filtering, while also integrating with external guardrail providers including OpenAI Moderation, AWS Guardrails, and Azure AI Content Safety. For organizations with custom requirements, teams can implement their own guardrail logic using Python hooks or declarative configuration, allowing policies to be tailored to specific models, applications, or business workflows.

TrueFoundry covers many of the controls enterprises need for production AI deployments, including policy enforcement, content filtering, authentication, model routing, and observability, within the same platform.

Because these guardrails are built into the AI Gateway, organizations don't need to procure and operate a separate security layer for common governance use cases. Teams can manage LLM routing, MCP governance, authentication, guardrails, and observability from a single control plane, simplifying operations and reducing infrastructure complexity.

Best for: Organizations that want AI Gateway, MCP Gateway, and enterprise guardrails in one platform instead of stitching together multiple vendors for routing, governance, and security

Total cost of ownership considerations

The real budgeting question isn't "what does Lasso cost" in isolation, it's "what does Lasso plus a gateway cost combined" versus a single platform that includes guardrails natively. If you're already running an AI Gateway without built-in security controls, adding Lasso on top is a reasonable path. If you're evaluating both a gateway and a security layer at the same time, it's worth pricing out a platform like TrueFoundry's AI Gateway, which folds PII filtering, toxicity detection, and custom guardrail hooks into the same published pricing tiers, before committing to two separate vendor relationships.

FAQ

Is Lasso Security pricing publicly available?

‍No. Lasso doesn't publish plans or a starting price. Pricing is quote-based through a demo request, and the company hasn't disclosed its rate structure publicly.

What does Lasso Security cost for enterprise?

‍There's no public figure. Lasso is sold as a single bundled product covering discovery, assessment, red teaming, and runtime protection, with cost likely scaling by the number of agents and applications covered and the deployment integration points required.

Lasso Security vs TrueFoundry pricing?

‍TrueFoundry publishes four pricing tiers starting at $0/month, with guardrails and PII filtering included as part of the AI Gateway. Lasso requires a sales conversation and is designed to run alongside a separate gateway rather than replace one.

Does TrueFoundry include the same guardrail capabilities as Lasso?

‍TrueFoundry includes PII filtering, toxicity detection, partner guardrail integrations, and custom guardrail hooks natively in the AI Gateway. Lasso goes deeper on automated red teaming and behavioral threat detection specifically for agentic workloads; the two aren't a precise feature-for-feature match.

Can I deploy TrueFoundry in my own VPC or on-prem?

‍Yes. TrueFoundry runs in your VPC, on-prem, air-gapped, hybrid, or across multiple clouds, and no data leaves your domain.

Related reading

• Best MCP Security Tools in 2026: where dedicated security platforms like Lasso fit next to a gateway
• AI Security Platforms: Features, Tools & Best Practices: how security platforms and AI gateways divide responsibilities
• Benchmarking LLM Guardrail Providers: A Data-Driven Comparison: how guardrail providers compare on detection and latency
• Cost Considerations of Using an AI Gateway: the TCO questions worth asking before adding a second vendor

Conclusion

Lasso Security is a strong option for organizations looking for a dedicated AI security platform with capabilities such as runtime protection, prompt injection detection, and automated red teaming. However, its pricing is available only through custom enterprise quotes, making it difficult to estimate costs or compare vendors before engaging with sales.

For organizations that already have an AI gateway and simply want to add another layer of security, Lasso may be a good fit. But if you're building or modernizing your AI infrastructure, it's also worth considering platforms that combine gateway capabilities with built-in governance and guardrails.

TrueFoundry, for example, brings together AI Gateway, MCP Gateway, authentication, observability, and guardrails in a single platform with transparent pricing and flexible deployment options. Rather than managing separate products for routing and security, teams can centralize AI governance while reducing operational complexity.

Lasso's pricing is opaque by design, like most enterprise AI security vendors, and it's built to sit on top of a gateway rather than replace one. Before budgeting for both, check TrueFoundry's published pricing or book a demo to see whether built-in guardrails cover what you need without a second vendor contract.