Dashboard
Research-backed framework for red teaming AI and LLM applications. Use this app to understand vulnerabilities, run attack playbooks, and document findings.
OWASP LLM Top 10
Standard vulnerability categories for large language model applications. Map your tests to LLM01–LLM10.
View vulnerabilities →Attack Playbooks
Prompt injection, jailbreaks, multi-turn attacks, and evasion techniques with example payloads.
Open playbooks →Test Runner
Run predefined and custom prompts against your target LLM. Copy payloads and log results.
Start testing →Frameworks & references
- OWASP Top 10 for LLM Applications — Prompt injection, info disclosure, supply chain, poisoning, output handling, agency, prompt leakage, embeddings, misinformation, unbounded consumption.
- MITRE ATLAS — 15 tactics, 66 techniques for adversarial ML (reconnaissance, resource development, discovery, collection, impact).
- NIST AI RMF — Risk management for AI systems.
- Multi-turn red teaming — Human-led multi-turn jailbreaks (e.g. Crescendo) often achieve higher success than single-turn automated attacks.
OWASP Top 10 for LLM Applications
Use these categories to scope and report red team tests. Source: OWASP GenAI Security Project.
Attack Playbooks
Techniques and example prompts for red team testing. Copy and adapt for your target system.
Test Runner
Select a test, copy the payload, run it against your target LLM (e.g. in ChatGPT, API, or your app), then record the outcome.
Pricing
Example engagement tiers for AI & LLM penetration testing and red teaming. Vector Threat Labs provides world class security testing for modern AI-driven applications.
Assessment
From $9,500 / engagement
- Threat modeling for 1–2 LLM use cases
- Prompt injection & jailbreak testing (manual + guided)
- OWASP LLM Top 10 findings report
- High-level remediation recommendations
Full AI / LLM Red Team
From $24,000 / engagement
- Dedicated red team for 3–4 weeks
- Multi-turn & multi-chain attacks (Crescendo-style, RAG, tools)
- Coverage across web, API, and LLM agents
- Executive & technical reporting + replayable test cases
Enterprise Program
Custom
- Quarterly AI red team exercises
- Integration with MITRE ATLAS and NIST AI RMF
- Continuous scenario design and training support
- Joint workshops with security & product teams
All pricing is indicative only and for demonstration purposes. Actual costs depend on model count, data sensitivity, regulatory requirements, and scope.
Contact
Plan an AI/LLM red team engagement or integrate this testing approach into your existing security program.
Organizations typically engage AI red teaming providers to:
- Stress-test LLM agents, chatbots, and RAG systems before launch
- Assess prompt injection, jailbreaks, and data leakage risk
- Meet requirements in the EU AI Act, ISO/IEC 42001, SOC2, and internal policies
- Train engineering and security teams on secure AI patterns
Use the form to define your scope (models, data sources, integrations). For real deployments, wire this form to your ticketing or CRM system.
Resources
References for AI/LLM vulnerabilities and red team methodology.
- OWASP GenAI Security Project — Top 10 for LLM, tools, cheat sheets.
- MITRE ATLAS — Adversarial threat landscape for AI systems.
- Promptfoo — Red teaming LLMs — Evaluation and red team plugins.
- Crescendo multi-turn jailbreak (arXiv) — Gradual escalation attacks.
- Multi-chain prompt injection — Chained LLM application attacks.
- Spikee — Testing LLM apps for prompt injection.