AI Security Testing & Adversarial LLM Red Teaming Services
Simulate Adversarial Jailbreaks, Prompt Injections, RAG Data Poisoning & Autonomous Agent Abuse across Enterprise GenAI Deployments.
Offensive ethical exploitation targeting Large Language Models, generative AI applications, and autonomous agent workflows against the complete OWASP Top 10 for LLM Applications 2025. Performed by our PinPoint testing team.
Standardized 5-Phase Technical Methodology
Our certified ethical hackers threat model the target AI system, mapping the base model, fine-tuning checkpoints, connected RAG vector databases, external tool APIs, and user trust boundaries.
- Mapping system prompts, temperature parameters, and foundation model endpoints
- Auditing connected agent tools: database connectors, email integrations, and internal APIs
- Identifying data ingestion paths vulnerable to indirect prompt injection (web scraping, PDFs)
- Defining formal Rules of Engagement (RoE) to safeguard production databases during testing
We deploy automated adversarial fuzzing suites executing thousands of advanced jailbreak payloads, token obfuscations, multilingual translation attacks, and base64 encodings to bypass guardrails.
- Testing universal adversarial suffixes and mathematical jailbreak perturbations
- Multi-turn conversational manipulation designed to bypass safety filters over long sessions
- Evaluating semantic guardrails against novel cipher and language translation bypasses
- Quantifying jailbreak attack success rates (ASR) across diverse model endpoints
Senior ethical hackers manually interrogate autonomous agents, attempting to hijack control flows, execute unconstrained tool functions, and trigger unauthorized database mutations.
- Exploiting autonomous function calling to execute destructive APIs or unauthorized SQL queries
- Simulating indirect prompt injection via poisoned documents, invoices, or web search summaries
- Testing human-in-the-loop bypasses by coercing agents into approving simulated transactions
- Validating output sanitization against Cross-Site Scripting (XSS) and server-side code execution
We attempt to exfiltrate proprietary system prompts, extract confidential training embeddings, poison RAG knowledge bases, and trigger unbounded resource consumption loops.
- Executing system prompt extraction attacks using recursive summarization coercions
- Testing RAG vector database poisoning and embedding inversion attacks to leak PII
- Simulating denial-of-wallet resource exhaustion loops via unbounded recursive inference
- Auditing third-party model supply chains and open-source dependencies for known CVEs
We provide comprehensive developer remediation playbooks featuring exact guardrail configurations and code patches, concluding with a complimentary retest to certify vulnerability closure.
- Authoring executive risk summary for leadership and granular technical exploit briefs
- Delivering developer-ready prompt defense patches, regex filters, and schema validations
- Conducting interactive debrief workshop with engineering and data science teams
- 30-day complimentary retesting window to validate remediation and issue attestation
Technical Scope & Deep Architectural Analysis
Standard Operational Verification Checklist
- Perform formal threat modeling across models, system prompts, vector databases, and tools
- Execute automated adversarial prompt fuzzing across jailbreaks, obfuscations, and multi-turn vectors
- Test autonomous agents for excessive agency, unconstrained tool executions, and privilege escalation
- Probe RAG architectures for vector store poisoning, unauthorized retrieval, and embedding inversion
- Validate model resilience against system prompt leakage and proprietary logic extraction
- Test infrastructure for Denial of Wallet attacks and unbounded recursive inference loops
- Deliver developer remediation playbook with exact prompt defense configurations and free retesting
Key Deliverables Included
- Executive AI Red Team Summary for CISO and Leadership
- Technical Adversarial Exploitation Dossier with OWASP LLM 2025 Mappings
- Exact Proof-of-Concept (PoC) Prompts and Payload Reproduction Scripts
- Developer Remediation Playbook with Prompt-Defense Code Patches
- Official AI Security Attestation Certificate post-remediation validation
Primary Attack Vectors
- LLM01: Direct & Indirect Prompt Injection (Jailbreaking via web context, documents)
- LLM02: Sensitive Information Disclosure (System prompt extraction, training PII leakage)
- LLM03: Supply Chain Vulnerabilities (Compromised foundation models, poisoned plugins)
- LLM04: Data & Model Poisoning (Fine-tuning poisoning, RAG vector database manipulation)
- LLM05: Improper Output Handling (Cross-Site Scripting, SQLi, command injection via LLM output)
- LLM06: Excessive Agency (Unrestricted autonomous tool execution, destructive API triggers)
- LLM07: System Prompt Leakage (Extraction of proprietary internal business logic)
- LLM08: Vector & Embedding Weaknesses (Embedding inversion, unauthorized vector search access)
- LLM09: Misinformation & Hallucination Exploitation (Adversarial coercion of false outputs)
- LLM10: Unbounded Consumption (Denial of Wallet, infinite recursive agent loops)
Featured CISO Guides & Pricing
Regulatory Alignment
Schedule Scoping Consultation
Directly configure this service scope and receive our agreed Rules of Engagement with Quick Response SLA.
Request Scoping Consultation