AI/LLM Security Assessment

Targeted evaluation of Large Language Model implementations and AI-powered applications against emerging threats including prompt injection, model inversion, jailbreak techniques, and training data extraction.

Choose Your Package

Select the perfect plan for your security needs

Basic Package

Direct Prompt Injection Command injection, system prompt leakage, instruction override attempts
Basic Jailbreaking Guardrail bypass, ethical constraint circumvention, role-playing exploits
Data Exposure PII leakage, training data extraction, context window poisoning
Output Validation Harmful content generation, bias detection, hallucination assessment
Deliverables Vulnerability report with prompt examples, risk assessment, basic mitigation strategies

Medium Package

All Basic features plus
Indirect Prompt Injection Cross-context attacks, retrieval manipulation, document poisoning
Multi-Turn Attacks Conversation hijacking, state manipulation, memory exploitation
Model Behavior Analysis Token probability manipulation, temperature exploitation, sampling attacks
Context Pollution RAG poisoning, vector database manipulation, semantic search bypass
API Abuse Model endpoint enumeration, rate limit bypass, token usage manipulation
Deliverables Attack scenario documentation, conversation flow analysis, enhanced defense recommendations, model configuration review

Pro Package

All Medium features plus
RAG Pipeline Security Vector database injection, retrieval manipulation, embedding poisoning, chunking strategy exploitation
Agent System Testing Tool-calling abuse, plugin vulnerabilities, multi-agent coordination attacks
Model Inversion Training data reconstruction, membership inference, model extraction attempts
Supply Chain Assessment Third-party model risks, fine-tuning vulnerabilities, dataset poisoning potential
Advanced Jailbreaking Multi-stage attacks, encoding obfuscation, linguistic manipulation, cross-lingual exploits
Plugin/Extension Security Function-calling abuse, sandboxing bypass, privilege escalation via tools
Compliance Review AI Act alignment, GDPR implications, bias and fairness testing
Deliverables Secure AI development framework, guardrail architecture design, ongoing red team engagement, threat modeling workshop, model governance recommendations

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