AI Red Teaming & Adversarial Testing

Secure Your AI Systems with Advanced AI Red Teaming

Hands-on adversarial testing for LLMs and agentic applications - I execute attacks end-to-end (prompt injection, tool misuse, data exfiltration, agent manipulation), deliver reproducible evidence, and help your engineers close the gaps. Led by Volkan Kutal - OWASP GenAI Security contributor (4 guides), Microsoft PyRIT top contributor, and author of AI Red Teaming for Practitioners (Packt, 2026).

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Services

End-to-end AI security - from architecture review through adversarial testing to continuous validation

AI Red Teaming & Penetration Testing

Hands-on adversarial testing covering OWASP LLM Top 10, Agentic AI Top 10, and domain-specific attack scenarios - from single chatbots to multi-agent systems.

Prompt injection & indirect prompt injection (CRM, email, calendar, RAG)
Data exfiltration path discovery (markdown rendering, DNS, side channels)
Agent manipulation, tool misuse & privilege escalation
Multi-agent trust boundary & delegation chain testing
Guardrail bypass & system prompt extraction

Threat Modeling & Architecture Review

White-box analysis of your AI architecture - attack surface mapping, security control gap analysis, and defense-in-depth recommendations aligned with BSI, OWASP, and MITRE ATLAS.

AI-specific threat landscape mapping per component
Data flow & trust boundary analysis
Security control gap identification & prioritization
Agent permission model & isolation review
MCP/tool integration & supply chain risk assessment

Ongoing Security Partnership

Continuous AI red teaming per release cycle - regression testing, threat intelligence updates, and team enablement to build internal AI security capability.

Quarterly red team assessments as AI systems evolve
New deployment & feature security validation
Developer workshops & methodology transfer
Threat intelligence briefings on emerging AI attack vectors
Executive reporting & security posture tracking

Engagement Tiers

Flexible scoping - from targeted assessments to embedded security partnerships

Tier 1

Focused Assessment

~3 weeks

Single AI system, blackbox or whitebox. Manual adversarial testing with findings report and remediation guidance.

Service 01 - AI Red Teaming
Scoped to one system or product
Technical report + executive summary
Remediation guidance & debrief

Tier 2

Comprehensive

4-6 weeks

Single system with multiple features & integrations. Combines threat modeling with in-depth red teaming for full coverage.

Service 01 + 02 - Red Teaming + Architecture Review
Threat model + attack surface mapping
Full report + residual risk assessment
Team debrief & knowledge transfer

Tier 3

Embedded Partnership

Ongoing / Quarterly

Everything in Tier 2 plus continuous validation, developer training, and threat intelligence - building lasting AI security capability.

Service 01 + 02 + 03 - Full spectrum
Quarterly re-assessments as systems evolve
Developer workshops & methodology handover
Ongoing threat intel & advisory

Track Record

Real engagements, real findings - blackbox, greybox, and whitebox

Ongoing

DAX Bank

AI Voice Assistant

Whitebox red teaming of a customer-facing voice AI system in a regulated financial environment.

Whitebox

US AI Platform

AI Development Tools

Security assessment of an AI-powered development platform with IDE integration and multi-tenant architecture.

Whitebox

AI Sales Agent

CRM + Email + Calendar

Security assessment of an autonomous sales assistant with CRM, calendar, and email tool integrations.

Ongoing

Open Source

PyRIT + OWASP

Top contributor to Microsoft PyRIT. Contributor of 4 OWASP GenAI Security Project guides.

How an Engagement Works

Four phases, four questions - structured approach to find and fix what matters

Scope & Gap Analysis

"What are we working on?"

Understanding your AI architecture, data flows, agent behaviors, integrations, and threat landscape. Identifying what needs testing and where the gaps are.

Threat Scenarios

"What can go wrong?"

Building a prioritized backlog of attack scenarios ranked by business impact and likelihood. Mapping real-world exploits to your specific system and feature set.

Adversarial Testing

"What are we going to do about it?"

Executing attack scenarios with reproducible evidence. Manual testing for novelty, automated tooling for coverage. Every finding documented with severity, proof, and remediation path.

Report & Remediation

"Did we do a good enough job?"

Technical report, executive summary, and remediation roadmap. Team debrief to transfer knowledge. Paid retest available to validate your fixes hold.

Volkan Kutal

Founder & Lead AI Red Team Engineer

Author: AI Red Teaming for Practitioners - Packt (2026)
AI Red Team Engineer @ Commerzbank AG
OWASP GenAI Security Contributor (4 guides)
Microsoft PyRIT Top Contributor (30+ merged PRs)
Anthropic Invite-Only Jailbreak Program (HackerOne)

Practical AI Security for Enterprise Systems

I founded PaperToCode to bring hands-on AI red teaming to organizations building with LLMs and agentic AI. My work spans the full spectrum - from testing customer-facing chatbots at DAX companies to discovering critical vulnerabilities in Silicon Valley AI products.

As contributor of 4 OWASP GenAI security guides - the GenAI Red Teaming Guide, Agentic Threats and Mitigations Guide, GenAI Incident and Response Guide, and Securing Agentic Applications Guide - and a top contributor to Microsoft's PyRIT framework, I help shape the testing methodologies the industry is adopting - and apply them in real engagements where findings have business impact.

My upcoming book AI Red Teaming for Practitioners (Packt) covers real-world attacker simulation, leveraging AI agents for reconnaissance and exploitation, and hands-on techniques with working code, PyRIT pipelines, and full engagement walkthroughs.