Four Ways We Test
What You've Built
One operator, not a rotating bench of juniors — every engagement is run personally by Artem Pasechnik, delivered as an ongoing subscription or a scoped engagement, whichever fits what you're testing.
AI Red Team Assessment
Your LLM-based application, chatbot, or AI feature gets attacked the same way any production system does — except most teams have never actually tested for it. We run the attacks that matter: prompt injection, jailbreaking, system-prompt and training-data extraction, output manipulation, and unsafe tool-calling behavior — the vulnerability classes a standard web or API pentest was never built to catch.
Every finding is mapped to the OWASP Top 10 for LLM Applications, with a plain-language business-impact writeup alongside the technical detail.
- Direct & indirect prompt injection
- Jailbreak & guardrail bypass testing
- System prompt & training data extraction attempts
- Output manipulation and unsafe content generation
- Insecure function/tool-calling behavior
Agentic Systems Security Audit
An AI agent that can call APIs, execute code, and act on its own is a bigger attack surface than the model behind it. We test the full chain — the agent's reasoning and decision-making, its tool integrations, its memory, and the MCP servers connecting it to the rest of your stack.
Built on the OWASP Top 10 for Agentic Applications (2026), the current standard for this exact class of system.
- Goal hijacking & instruction override
- Tool/function misuse and unauthorized actions
- Privilege escalation through agent permissions
- Memory & context poisoning
- MCP server security — path traversal, command injection, SSRF
- Agent-to-agent trust boundary testing
AI Threat Modeling
Sometimes the right move is to find the risks on paper before there's a running system to attack. We map your AI architecture — model, agents, MCP servers, data flows, and trust boundaries — against OWASP-aligned methodology and MITRE ATLAS, and hand you a prioritized risk model before you ship.
- Architecture & data-flow mapping
- Trust-boundary and attack-surface analysis
- Risk prioritization against OWASP & MITRE ATLAS
- Pre-launch security review
- Compliance-prep documentation, NIS2/DORA-aligned where relevant
Traditional Pentesting
Not every attack surface is an AI agent. Web applications, APIs, cloud infrastructure, and networks still need real penetration testing — and still get breached the same ways they always have. 5+ years of offensive security experience applies here just as directly as it does to MCP servers.
- Web application penetration testing
- API security testing
- Network & infrastructure testing
- Cloud configuration review
Not Sure Which Service You Need?
Tell us what you've built and we'll tell you exactly where to start — no obligation, no generic sales pitch.
Book a Scoping Call