AI × Offensive Security
AI Red Teaming
Real adversaries don't wait for your AI to be ready.
AI Red Teaming applies the full rigour of offensive security to AI systems — going beyond checklist-based assessments to simulate what a determined attacker actually does against your LLMs, agents, and ML pipelines. We build end-to-end attack chains, not just isolated vulnerability findings.
Our Approach
How We Run an AI Red Team Engagement
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AI System Threat Profiling
We map your entire AI footprint — which models you run, how prompts are constructed, what tools and data sources your agents access, and what a successful attack would look like from a business impact perspective.
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Adversary Objective Setting
We define concrete, realistic attack objectives: extract the system prompt, make the model produce restricted outputs, abuse an agent to exfiltrate data, or pivot from AI infrastructure to backend systems. Real goals, not theoretical exercises.
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Automated & Manual Prompt Attack Campaigns
Systematic adversarial testing using iterative prompt injection, jailbreak chains, role-play manipulation, multi-turn context poisoning, and indirect injection via RAG or tool outputs — going far beyond standard checklist probing.
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Agentic System Abuse & Tool Exploitation
If your AI uses tools — web browsing, code execution, APIs, file systems, databases — we attempt to weaponize them. Privilege escalation through agent actions, callback injection, and cross-agent trust boundary violations.
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AI Infrastructure Lateral Movement
Pivoting from AI-layer vulnerabilities into underlying infrastructure — model serving endpoints, MLOps pipelines, training data stores, and cloud environments. We treat AI compromise as an initial foothold, not a terminal objective.
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Full Attack Narrative & Hardening Roadmap
A complete attack story with OWASP LLM Top 10 mapping, video or screenshot evidence of each exploit chain, and a prioritized roadmap for fixing structural weaknesses — not just individual bugs.
What We Cover
Full Coverage, Zero Gaps.
LLM Adversarial Testing
- Direct Prompt Injection
- Indirect / RAG Injection
- Multi-Turn Jailbreaking
- System Prompt Extraction
- Context Window Poisoning
Agentic AI Exploitation
- Tool & Plugin Abuse
- Agent Privilege Escalation
- Multi-Agent Trust Attacks
- Autonomous Decision Manipulation
- Callback & Webhook Injection
AI Infrastructure
- Model API Endpoint Abuse
- Rate Limit & Quota Bypass
- Model Extraction Attacks
- Inference Endpoint Exposure
- API Key & Auth Testing
Data & Knowledge Attacks
- RAG Knowledge Poisoning
- Training Data Extraction
- Vector DB Manipulation
- PII Leakage via Prompts
- Embedding Inversion
ML Pipeline Red Team
- Data Poisoning Simulation
- Model Supply Chain Attacks
- CI/CD Pipeline Compromise
- Model Registry Tampering
- Shadow Model Deployment
Full Chain Scenarios
- AI → Backend Pivot
- Credential Exfiltration via Agent
- Lateral Movement from LLM
- Social Engineering via AI
- Ransomware via Agentic Action
What You Get
Clear, Actionable Deliverables.
Attack Narrative
End-to-end story of every successful attack chain — how we got in, how we moved, and what we reached — with full reproduction evidence.
OWASP LLM Mapping
Every finding mapped to the OWASP LLM Top 10 with severity ratings and exploitability context for your specific system.
Exploit Evidence
Screen recordings or annotated screenshots of every successful exploitation — so your team can see exactly how the attack worked.
Hardening Roadmap
A prioritized, AI-specific remediation plan: architectural fixes, prompt engineering improvements, and tooling recommendations.
Who It's For
Built for Organizations That Take Security Seriously.
- Teams that have deployed LLM-powered applications and want to know their real attack surface
- Organizations building agentic AI systems with access to sensitive tools, data, or infrastructure
- Security teams that need to brief leadership on AI-specific risk with evidence-backed findings
- Companies subject to EU AI Act, NIST AI RMF, or sector-specific AI governance requirements
- Engineering teams preparing to launch AI products and needing a pre-launch adversarial review
- Any organization that has had traditional pen tests but never tested their AI layer offensively
Ready to get started?
Every engagement starts with a free scoping call. No obligations — just an honest conversation about your security posture.
Book a Free Call contact-crew@appsecrew.comExplore More