Offensive Security

AI Penetration
Testing

Validate your AI defenses against prompt injection, RAG poisoning, rogue MCP tools, and emerging GenAI attack vectors.

Without testing your AI defenses, you could be victim of a major breach that sets back your AI program for years.

LLM CORE MODEL USER INPUT Prompts / Queries RAG PIPELINE Vector DB / Retrieval MCP / TOOLS External Actions OUTPUT Responses / Actions DATA STORE Training / Fine-tune SYSTEM Prompt / Config PROMPT INJECT RAG POISONING ROGUE MCP DATA EXTRACT MODEL MANIP

AI Attack Surface Map

We systematically test every interface of your AI systems — from prompt injection to RAG poisoning to rogue tool exploitation — mapping your complete AI attack surface.

  • Prompt InjectionDirect & indirect injection
  • RAG PoisoningVector DB manipulation
  • Rogue MCP/LibrariesTool & plugin compromise
  • Model ManipulationFine-tuning attacks
  • Data ExtractionSensitive data leakage
  • JailbreakingGuardrail bypass

AI Attack Vectors

Prompt Injection

Testing direct and indirect prompt injection vectors to bypass system instructions and manipulate AI behavior.

RAG Poisoning

Injecting malicious content into retrieval pipelines and vector databases to corrupt AI knowledge and outputs.

Rogue MCP/Libraries

Exploiting tool-use frameworks and third-party integrations to gain unauthorized access through AI agents.

Model Manipulation

Testing model robustness against adversarial inputs, fine-tuning attacks, and training data corruption vectors.

Data Extraction

Attempting to extract sensitive training data, PII, and confidential information through carefully crafted queries.

Jailbreaking

Systematically bypassing safety guardrails and content filters to test the resilience of your AI governance controls.

How It Works

2–3
Weeks Duration
1–3
AI Security Specialists
1
Comprehensive Report
01
Attack Surface
Mapping
02
Vector
Identification
03
Exploitation
Attempts
04
Defense
Validation

What You Receive

  • AI Security Assessment Report

    Comprehensive evaluation of your AI system vulnerabilities, attack paths, and exploitation evidence.

  • Prompt Injection Playbook

    Documented injection techniques that succeeded and failed, with recommended system prompt hardening strategies.

  • RAG & MCP Security Review

    Analysis of retrieval pipeline integrity, tool-use security, and third-party integration risks.

  • AI Governance Roadmap

    Strategic recommendations for input/output guardrails, monitoring, and ongoing AI security posture management.

Validated Defenses

  • Prompt injection resilience
  • MCP protection
  • RAG pipeline integrity
  • Input/output guardrails
  • Model access controls

Why Cythelligence

AI-Native Expertise

Deep expertise in generative AI security, honed through building and attacking production AI systems across enterprise environments.

Award-Winning Expertise

Advanced hacking techniques combined with high AI adoption and deep expertise in emerging AI security threats.

Outcome-Focused Delivery

Every engagement produces measurable, actionable intelligence — not just a list of findings.