Shield Your AI
Systems Before
Attackers Do
In-depth penetration testing (Pentest) and Red Teaming assessment for your LLM applications, chatbot integrations, RAG databases, and agentic AI workflows. Discover vulnerabilities using our specialized Turkish and multilingual adversarial datasets.
LLM Security Focus Areas
We analyze the security risks threatening your AI infrastructure across 4 core areas.
Prompt Injection & Jailbreak
Testing your models for prompt injection (stealing system instructions), jailbreaking (bypassing filters), or forcing models to output toxic content.
RAG & Vector DB Security
Testing vector databases, context poisoning (data poisoning) via document retrieval pipelines, and PII leakage under strict GDPR/KVKK parameters.
Agentic AI & Tool Misuse
Probing autonomous agents executing tools or calling external APIs to verify they cannot be coerced into unauthorized actions (deleting data, placing spoofed orders, parameters manipulation).
AI Red Teaming
A multi-vector scenario-based simulation targeting AI pipelines, model endpoints, and upstream datasets from the perspective of a sophisticated threat actor.
Our Methodology
LLM testing progresses through a structured, adversarial engineering lifecycle.
Scope & Modeling
Identifying target models, system instructions, database integrations, and API limits.
Adversarial Recon
Mapping user input nodes, RAG retrieval flows, and connected tooling schemas.
Exploitation
Executing automated prompt injection, indirect payloads, and jailbreak scripts.
Risk Assessment
Calculating CVSS equivalent metrics and evaluating data compliance leaks.
Roadmap & Briefing
Delivering final reports, defense prompts, and developer walkthroughs.
Deliverables
Actionable guides enabling your development team to patch models effectively.
Technical LLM Report
Working PoC prompt payloads, vulnerability descriptions, and exact remediation instructions.
Executive Summary
Strategic impact, data protection compliance scores, and risk heatmaps for board reporting.
OWASP & ATLAS Mapping
Classification of all findings against OWASP Top 10 for LLM and MITRE ATLAS matrix matrices.
Defensive Prompt Guide
Specific prompt templates and guardrails designed to safeguard your model endpoints from injection.
AI Team Briefing
A technical presentation with your engineers to explain finding mechanics and remediation architectures.
Retest Verification
One complimentary round of verification testing to confirm critical patches are properly applied.
Pricing Tiers
Packages aligned to the architectural scale of your AI deployment.
Single Chatbot
Single model endpoint or UI interface
Custom pricing based on scope
- Direct prompt injection testing
- System prompt extraction attempts
- Safety filter bypass checks
- Basic jailbreak scenarios
- Technical report + PoCs
- 1 retest cycle
RAG & Agentic System
AI system with vector DB / API tools
Custom pricing based on scope
- Indirect prompt injection testing
- RAG context poisoning analysis
- Agentic tool use & API privilege check
- PII leakage/masking compliance test
- Custom defensive prompt templates
- Live briefing with development team
- 2 retest cycles
AI Red Team Program
Multi-model pipelines + Supply Chain
Custom pricing · annual retainer
- All Professional scope items
- Model registry S3/HuggingFace audits
- Continuous red team battle simulations
- Custom MITRE ATLAS threat models
- Data pipeline ingestion poison checks
- Unlimited retest cycles
Ready to Secure Your AI?
Identify vulnerabilities in your Large Language Models before bad actors do. Reach out for a scoping call today.
[email protected] · Subject: LLM Pentest Request