
Enterprise AI security platform for agents, models, and data flows.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Mcp Gateway — Enterprise AI security platform for agents, models, and data flows. Best for Enterprise security teams managing agentic AI at scale, AI platform teams needing centralized governance, Compliance officers ensuring NIST and OWASP alignment. Contact Sales pricing.
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Lasso is the most comprehensive AI security platform we've seen for enterprise agentic AI. Its deep focus on agent-specific threats and integrations with multiple gateways make it a strong choice, but the lack of transparent pricing and self-service tiers limits accessibility for smaller teams. For large security teams needing governance, red teaming, and runtime enforcement, Lasso is a top contender; smaller shops should look at lightweight alternatives like Portkey or LiteLLM.
Skip Mcp Gateway if Skip Lasso if you are an individual developer or small team without dedicated security resources, or if you need a free self-service MCP broker without enterprise compliance features.
Compare with: Mcp Gateway vs Mindgard, Mcp Gateway vs Fiddler AI, Mcp Gateway vs HackerOne
Last verified: July 2026
Across the latest 4 updates: 1 feature update, 1 launch and 2 changelog entries.
Lasso now integrates with TrueFoundry AI Gateway to secure AI agent traffic.
Lasso publishes a framework for AI compliance, detailing key components and challenges.
Lasso addresses security needs for autonomous coding agents like Claude Code.
Lasso expands automated AI red teaming features with new attack types and multi-turn scenarios.
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
45 mentions across 2 sources (Hacker News, Lemmy).
How likely is Mcp Gateway to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Lasso is an enterprise AI security platform that discovers, assesses, and protects AI agents, models, and data flows across the full lifecycle. It provides a unified console for security teams to gain visibility into shadow AI, analyze posture, run automated red teaming, and enforce runtime policies. Built for organizations adopting agentic AI at scale, Lasso integrates with popular AI gateways including Kong, Portkey, LiteLLM, Envoy, and TrueFoundry. It continuously inventories agents, maps models and tools, and detects misconfigurations. Its automated red teaming engine uses a library of over 3,000 attacks tailored to the OWASP Top 10 for LLMs. What sets Lasso apart is its focus on agentic AI—it was designed from the ground up to handle multi-turn agent interactions, tool chain manipulation, and context poisoning, not just single-prompt attacks. The platform also offers an Intent Security Framework that analyzes the intent behind agent actions rather than relying on static rules. Lasso positions itself as a comprehensive security solution for enterprises adopting AI, with a focus on governance, compliance, and runtime protection. It integrates with CI/CD pipelines, GitHub, and major cloud providers to shift security left.
Lasso delivers a genuinely differentiated offering for enterprises grappling with agentic AI security. Its discovery and AI-BOM features give you a complete inventory of agents, models, and tools—solving the shadow AI problem. The automated red teaming with 3,000+ attacks targets multi-turn agentic scenarios that most tools miss. Integration with major AI gateways (Kong, Portkey, LiteLLM, Envoy, TrueFoundry) means you can plug into existing infrastructure. The Intent Security Framework is a novel approach that analyzes agent intent rather than static patterns, addressing the non-deterministic nature of AI. However, the platform is enterprise-only with contact-based pricing, which excludes small teams and individuals. It also doesn't offer a free tier or self-service trial, making it hard to evaluate before committing. For security-conscious enterprises running agentic workloads at scale, Lasso is a strong fit. For smaller teams or those just experimenting, lighter-weight gateways with basic guardrails may suffice.
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Concrete scenarios for the personas Mcp Gateway actually fits — and what changes day-one when you adopt it.
You need to inventory all AI agents your teams have deployed across AWS, Azure, and GCP, and assess their security posture against NIST and OWASP standards.
Outcome: You use Lasso's discovery feature to generate an AI-BOM, then run posture assessment to identify misconfigurations and supply chain risks within hours.
Your team uses Kong as an AI gateway and needs runtime policy enforcement to block malicious agent actions while maintaining sub-50ms latency.
Outcome: You integrate Lasso with Kong via the documented connector, enforce policies inline, and get zero-latency decisioning with 98.6% threat detection accuracy.
You must ensure agentic AI applications comply with NIST AI RMF and OWASP Top 10 for LLMs before production deployment.
Outcome: You use Lasso's automated red teaming engine to run 3,000+ adversarial attacks tailored to your agents, and generate compliance reports highlighting gaps and remediation steps.
as of 2026-07-06
The company stage and team size where Mcp Gateway's pricing actually pencils out — and where peers do it cheaper.
Lasso targets large enterprises with dedicated security budgets; contact-based pricing means you'll negotiate a custom deal. For small teams or startups, cheaper alternatives like Portkey's free tier or LiteLLM's open-source option may better fit a limited budget.
How long it actually takes to get something useful out of Mcp Gateway — broken out by persona, not the marketing-page minute.
For enterprises already using supported gateways (Kong, Portkey, LiteLLM, Envoy, TrueFoundry), integration can be set up in a day. Full discovery and posture assessment across cloud environments may take 1-2 weeks for initial configuration and scanning. Custom integrations or complex deployments may require additional time.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Common stack mates teams adopt alongside Mcp Gateway, with the specific reason each pairing earns its keep.
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