Security testing for the AI agents and MCP servers behind your product — human-verified, AI-augmented, and mapped to OWASP LLM Top 10, MITRE ATLAS, and NIS2/DORA for EU teams.
Most teams ship MCP servers and AI agents without ever testing them against the vulnerability classes already showing up across the industry. Here’s what independent research found when someone finally checked.
From the MCP server handling your tool calls to the infrastructure it runs on — we test where AI agents actually get exploited, not just where generic scanners look.
Every layer maps to a documented MCP or agent vulnerability class — the same seven categories our methodology, and every report we write, is built around.
Every finding is validated by a real pentester before it reaches your report — not just an AI confidence score.
We use AI tooling to go faster and deeper — the judgment call on what is real still belongs to a person.
Findings mapped directly to EU compliance obligations, not bolted on after the fact.
A dedicated methodology for MCP servers and agentic systems, not a generic pentest checklist with “AI” added on.
Full rigor, without enterprise-only pricing — working with teams across Europe and beyond.
Plain-language business impact alongside every technical finding — built for engineers and decision-makers alike.
Automated checks detect, they never exploit. Anything needing real exploitation is a human-reviewed activity.
Our methodology is built on documented MCP vulnerability research, not guesswork about what agents might do wrong.
Pick Starter for automated detection, or Pro/Advanced for human-verified testing — scoped to your MCP servers, agents, and tool integrations.
We confirm exactly what's in scope — MCP server(s), agent orchestration layer, tool integrations, and infra — before any testing starts.
Automated checks run first; anything that needs real exploitation gets a human-reviewed pass across all seven testing layers.
Every finding is mapped to the OWASP LLM Top 10 and, where relevant, NIS2/DORA — with plain-language business impact, not just a CVSS score.
You get the full report plus support closing the gaps — then we verify the fix actually holds.
No shortcuts, no black-box automation pretending to be expertise — every engagement runs the same seven-step process.
We map every MCP server, tool integration, and agent-to-agent trust boundary before a single test runs.
Attack paths get modeled against how your system actually works — not a generic checklist.
Every engagement runs against our versioned MCP/agent checklist, scoped to what’s actually in play.
We build the real prompt injections, malicious tool descriptions, and path-traversal payloads used to probe each layer.
Detection-first automated checks flag vulnerable patterns fast, across every tool and endpoint in scope.
Every automated finding gets a human-reviewed pass — confirmed exploitable, not just theoretically flagged.
Findings mapped to OWASP LLM Top 10 and, where relevant, NIS2/DORA — plain-language business impact your team can act on.
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Tell us what you've built — MCP servers, agents, integrations — and we'll tell you exactly what we'd test first.
The questions we hear most before an engagement starts.
Security testing that simulates real attacks against your MCP servers, LLM agents, and tool integrations — prompt injection, path traversal, excessive agency, and the vulnerability classes a standard web or API pentest was never built to catch.
Yes. Scope is confirmed with you before testing starts and can include MCP server(s), the LLM application layer, agent orchestration, tool and plugin integrations, and connected infrastructure where relevant.
No. Automated checks only detect vulnerable patterns — they don't exploit anything. Any actual exploitation needed to confirm a finding is scoped to the minimum required and coordinated with you in advance, not run unannounced against production.
Generic pentests don't test for prompt injection, tool-description manipulation, excessive agency, or MCP-specific flaws like path traversal and SSRF — vulnerability classes that don't exist in traditional web apps. And automated-only tools detect patterns; they can't confirm a finding is actually exploitable the way a human-reviewed Pro or Advanced engagement can.
Yes — every finding is mapped to the OWASP LLM Top 10 and, where relevant, NIS2/DORA incident-reporting or third-party-risk obligations, alongside a plain-language business-impact statement for non-technical stakeholders.
A full report with every finding mapped to business impact and the OWASP LLM Top 10. Pro and Advanced engagements also include a retest afterward to confirm the fix actually closes the gap, not just that a patch was shipped.
Starter starts at $10/mo, Pro at $40/mo, and Advanced at $120/mo — see the pricing page for what's included at each tier.
It depends on scope. Starter's automated scan runs on its own; Pro and Advanced timelines get set during scoping since they involve hands-on human testing across however many MCP servers, agents, and integrations are in play.
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