New: AI Red Teaming & MCP Penetration Testing

AI RED TEAMING & MCP PENETRATION TESTING

Your AI Agents Ship Fast. Attackers Exploit Them Faster.

AI Red Teaming for the AI agents and MCP servers behind your product — delivered as a subscription, not a one-time report, so coverage keeps up as your systems change. Human-verified, AI-augmented, mapped to OWASP LLM Top 10, MITRE ATLAS, and NIS2/DORA for EU teams.

See the Data

The Numbers Most Teams Have Never Checked

Most teams ship MCP servers and AI agents without ever running AI Red Teaming against the vulnerability classes already showing up across the industry. Here’s what independent research found when someone finally checked.

82%

of tested MCP file-op servers have path traversal flaws

43%

of tested MCP servers are vulnerable to command injection

Illustration of a security analyst reviewing an AI agent's dashboard for vulnerabilities

Security Services for the AI Era

From adversarial testing of LLM applications to full-stack penetration testing — security methodology built on 5+ years of offensive security, delivered as an ongoing service so coverage keeps pace as your AI systems evolve.

AI Red Team Assessment

Adversarial testing of your LLM-based applications, chatbots, and AI-powered features. We simulate real-world attacks — prompt injection, jailbreaking, data exfiltration, and output manipulation — to find vulnerabilities before attackers do. Aligned with the OWASP Top 10 for LLM Applications.

Agentic Systems Security Audit

Your AI agents make decisions, call APIs, execute code, and access sensitive data — autonomously. We test the full attack surface: goal hijacking, tool misuse, privilege escalation, memory poisoning, and MCP server security. Built on the OWASP Top 10 for Agentic Applications (2026).

AI Threat Modeling

Structured risk assessment for AI systems before you ship. Using OWASP-aligned methodology and MITRE ATLAS frameworks, we map your AI architecture's attack surface, identify critical risks, and deliver actionable security recommendations. Perfect for pre-launch security reviews and compliance preparation.

Every Layer Your Agent Touches

From the MCP server handling your tool calls to the infrastructure it runs on — our AI Red Teaming tests where AI agents actually get exploited, not just where generic scanners look.

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Compliance Frameworks Mapped
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Human-Verified Findings

Seven Layers, One Engagement

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.

Illustration of a person reviewing penetration testing findings on a laptop

Human Judgment, AI Speed

Human-Verified, Always

Every finding is validated by a real pentester before it reaches your report — not just an AI confidence score.

AI-Augmented, Not AI-Only

We use AI tooling to go faster and deeper — the judgment call on what is real still belongs to a person.

NIS2 & DORA Ready

Findings mapped directly to EU compliance obligations, not bolted on after the fact.

Built for MCP & Agents

A dedicated AI Red Teaming methodology for MCP servers and agentic systems, not a generic pentest checklist with “AI” added on.

Balkans-Based, EU-Reaching

Full rigor, without enterprise-only pricing — working with teams across Europe and beyond.

Actionable Reports

Plain-language business impact alongside every technical finding — built for engineers and decision-makers alike.

Safe by Default

Automated checks detect, they never exploit. Anything needing real exploitation is a human-reviewed activity.

Grounded in Real Data

Our methodology is built on documented MCP vulnerability research, not guesswork about what agents might do wrong.

Illustration representing the RoninTech penetration testing engagement process

How It Works

  • Choose Your Plan

    Pick Starter for automated detection, or Pro/Advanced for human-verified testing — scoped to your MCP servers, agents, and tool integrations.

  • Scope the Engagement

    We confirm exactly what's in scope — MCP server(s), agent orchestration layer, tool integrations, and infra — before any testing starts.

  • We Test Every Layer

    Automated checks run first; anything that needs real exploitation gets a human-reviewed pass across all seven testing layers.

  • Findings Mapped to Impact

    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.

  • Fix & Retest

    You get the full report plus support closing the gaps — then we verify the fix actually holds.

Inside Every Engagement

No shortcuts, no black-box automation pretending to be expertise — every round of AI Red Teaming — whether it’s your first month or your fiftieth — runs the same seven-step process.

Fast response, business hours — no ticket queue

You always know where the engagement stands

Support after the report lands, not just before

Architecture & Attack-Surface Review

We map every MCP server, tool integration, and agent-to-agent trust boundary before a single test runs.

Threat Modeling

Attack paths get modeled against how your system actually works — not a generic checklist.

Test Checklist Preparation

Every engagement runs against our versioned MCP/agent checklist, scoped to what’s actually in play.

Payload & Exploit Crafting

We build the real prompt injections, malicious tool descriptions, and path-traversal payloads used to probe each layer.

Automated Security Scanning

Detection-first automated checks flag vulnerable patterns fast, across every tool and endpoint in scope.

Vulnerability Review & Validation

Every automated finding gets a human-reviewed pass — confirmed exploitable, not just theoretically flagged.

Reporting

Findings mapped to OWASP LLM Top 10 and, where relevant, NIS2/DORA — plain-language business impact your team can act on.

Research From Our Engagements

Why Businesses Choose RoninTech for AI Security

AI-Native Security Testing

We don’t just scan for CVEs. We test how your AI systems reason, decide, and act under adversarial pressure — covering attack vectors that traditional security tools can’t detect.

Adversarial AI Simulation

We simulate the attacks that will actually target your AI systems: prompt injection, goal hijacking, tool misuse, data exfiltration through RAG pipelines, and MCP server exploitation.

Offensive Security DNA

5+ years of penetration testing means we think like attackers — not just AI researchers. We bring the adversarial mindset that pure ML teams lack, combined with deep knowledge of AI architectures.

OWASP-Aligned Methodology

Every assessment is built on the OWASP Top 10 for LLM Applications and the OWASP Top 10 for Agentic Applications (2026) — the global standard for AI security testing.

Actionable Reports, Not Noise

You get a clear, prioritized report with real vulnerabilities, proof-of-concept demonstrations, and step-by-step remediation guidance. No filler. No generic scanner output.

EU AI Act & Compliance Ready

The EU AI Act mandates adversarial testing for high-risk AI systems. Our assessments help you meet regulatory requirements and demonstrate security due diligence to stakeholders and auditors.

Affordable for Startups & Scale-ups

Enterprise-grade AI security testing at boutique pricing. We work with startups, scale-ups, and mid-size companies — not just Fortune 500. Flexible engagement models fit your budget and timeline.

Ongoing Security Advisory

Security doesn’t end with a report. Get ongoing access to AI security expertise through retainer agreements — monthly reviews, architecture guidance, and continuous threat assessment as your AI systems evolve.

Illustration representing a security scoping call with RoninTech

Find Out What’s Actually Exposed

Tell us what you've built — MCP servers, agents, integrations — and we'll tell you exactly what our AI Red Teaming would test first. Plans start at $499/month, or book a scoping call for hands-on testing.

Frequently Asked Questions

The questions we hear most before an engagement starts.

Penetration Testing as a Service (PTaaS) 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, delivered as an ongoing subscription instead of a one-time report.

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.

Plans start at $499/month — see the pricing page for what's included at each tier.

It depends on scope and tier. AI Security Starter is scoped to a single AI feature and usually wraps up fastest; Comprehensive AI Assessment and Continuous AI Security cover more ground — agentic systems, MCP servers, multiple integrations — so timelines get set during scoping based on what's actually in play.