AI Security Research

Your AI makes decisions.
We test what happens when
someone breaks the rules.

LLMs, agents, and MCP servers process customer data, execute financial logic, and access internal tools. We test what happens when the inputs aren't polite — prompt injection, tool poisoning, data exfiltration, and the attack chains that emerge when AI systems trust too much.

43%
of MCP servers have injection vulnerabilities
4.2
average injection vectors per AI agent deployment
0
Swiss competitors offer dedicated AI security audits
How AI Attacks Work

One injection.
Four steps to breach.

This is what a prompt injection attack chain looks like in practice — and what our assessment catches before attackers do.

Without Assessment
Step 1
User sends a normal-looking query to your AI assistant
Step 2
Hidden instruction extracted from document context — invisible to the user, executed by the model
Step 3
Agent calls internal tool with attacker-controlled parameters — database query, API call, file access
Step 4
Sensitive data exfiltrated via tool response
Exploited
With QuantumSearch
Step 1
Same query — we simulate realistic attack scenarios
Step 2
Injection surface identified — documented with reproducible proof-of-concept
Step 3
Tool misuse chain mapped — every permission boundary tested and catalogued
Step 4
Full attack chain documented. PoC delivered. Remediation roadmap provided.
Identified
Is This For Me?

Find your starting point

“We've deployed an AI chatbot that accesses customer data”

→ Start with MCP Server Audit

“Our agents use MCP servers to connect to internal tools”

→ MCP Server Audit or AI Agent Audit

“We're integrating LLMs into financial or legal workflows”

→ AI Agent Security Audit

“We need to demonstrate AI safety for regulatory compliance”

→ Full AI Stack Assessment
Assessment Tiers

Choose your depth

Every tier delivers working proof-of-concept exploits, quantified business impact, and actionable remediation — not theoretical risk lists.

MCP Server Audit
Secure your tool integrations
CHF 3,000 starting from
3–5 days · per MCP server
  • Command injection testing
  • Tool poisoning analysis
  • OAuth & auth flow review
  • Privilege escalation mapping
  • PoC exploits for every finding
Learn More ↓
Full AI Stack Assessment
End-to-end AI infrastructure audit
Contact us
3–5 weeks · bespoke scope
  • Everything in Agent Audit
  • Adversarial ML testing
  • Model extraction & data poisoning
  • EU AI Act compliance mapping
  • Board-level executive summary
  • Strategic remediation roadmap
Contact Us →

All assessments are scoped to your specific AI deployment. Prices shown are starting points — final pricing reflects complexity, number of agents, and integration depth.

What's Included

Assessment details

01
3–5 days

MCP Server Audit

We audit your Model Context Protocol server deployments for the vulnerabilities that 43% of MCP servers carry — command injection, tool poisoning, OAuth misconfigurations, and excessive privilege grants. Every finding includes a working proof-of-concept exploit.

  • MCP tool enumeration & permission mapping
  • Command injection on every exposed tool
  • Tool poisoning & response manipulation
  • OAuth flow & token handling review
  • Data leakage via tool responses
  • Privilege boundary testing
  • Risk quantification in CHF/EUR
  • 30-day verification retest
02
1–2 weeks

AI Agent Security Audit

Full assessment of deployed AI agent systems against the OWASP Top 10 for Agentic Applications. We test chatbots, copilots, RAG systems, and custom agents for goal hijacking, tool misuse, memory poisoning, and the cascading failure chains that emerge when agents trust too much.

  • OWASP Agentic Top 10 full coverage
  • Goal hijacking & instruction override
  • Tool misuse & confused deputy attacks
  • Memory & context poisoning
  • Cross-agent cascade exploitation
  • Supply chain dependency audit
  • Threat model & attack chain documentation
  • Remediation workshop (2 hours)
03
3–5 weeks

Full AI Stack Assessment

The most comprehensive AI security engagement. End-to-end assessment of your entire AI infrastructure — models, agents, MCP servers, data pipelines, and training data. Includes adversarial machine learning testing, EU AI Act compliance mapping, and a strategic remediation roadmap for your board.

  • Everything in MCP + Agent Audit
  • Adversarial ML testing (jailbreaking, prompt injection)
  • Model extraction & data poisoning
  • Training data leakage assessment
  • EU AI Act adversarial testing compliance
  • Architecture security review
  • Board-level executive summary
  • Strategic remediation roadmap

How it works

A structured engagement model that respects your time and delivers results.

01

Discovery Call

30 minutes. We understand your AI stack, threat model, and goals.

02

Scope & NDA

Define target systems, agent inventory, and assessment boundaries.

03

Assessment

We test. Critical injection chains reported immediately.

04

Report & PoCs

Full report with working exploits, attack chains, and remediation.

05

Remediation Support

Workshop, verification retest, and ongoing advisory if needed.

Related Services

Explore our other specializations

Core Service

Security Services

Full security assessments, penetration testing, and continuous protection plans. From free assessment to annual fortress — every engagement delivers working exploits and quantified business impact.

Explore Security Services →
Specialized Service

Vibe-Coding Security

Security audits for AI-generated code. Cursor, Copilot, Bolt, v0 — we find the vulnerabilities AI assistants consistently miss before they reach production.

Explore Vibe-Coding Security →

Your AI is live.
Is it secure?

Start with a free assessment of your AI attack surface. No obligation — just results.

Request Free Assessment →