# Trampolyne AI

> Trampolyne AI is an automated AI red teaming platform. It discovers vulnerabilities in AI systems — chatbots, copilots, and enterprise LLM workflows — and the layers they touch (model, API, tool, and agent workflow) through multi-turn, multi-modal attack simulations, before real attackers find them.

## What it does

Trampolyne AI runs end-to-end AI red-team workflows:

1. **Recon** — Capability and attack-surface discovery: probes the target to map what it can do (RAG, tools, file upload, vision, API endpoints, MCP/tool-gateways, guardrails)
2. **Attack planning** — Selects relevant attack families from the discovered surface and configured scope, and generates targeted, context-aware payloads
3. **Multi-layer exploitation** — Goes beyond the model. Runs adversarial conversations (prompt injection, jailbreaks, extraction, data exfiltration) and also exercises the real API authorization layer (BOLA/IDOR, including cross-tenant access that names the exact victim record), the tool and Model Context Protocol (MCP) layer (including role-forbidden tools), and agentic workflows (approval bypass, privilege escalation, state races) — with before/after proof
4. **Judgment & scoring** — LLM-as-judge and heuristic detectors classify each result as a confirmed finding or a miss, with false-positive control and impact-calibrated severity
5. **Reporting** — Generates structured JSON/HTML reports with framework mappings, severity classification, remediation guidance, and reproducible evidence/conversation traces

## Who it's for

- AI/ML engineers building chatbots, copilots, or AI agents
- Security teams conducting AI security reviews or pen testing LLM applications
- Compliance officers needing evidence of AI security controls
- Organizations deploying AI in regulated industries (finance, healthcare, legal)

## Key capabilities

- Full-stack coverage: model, API authorization, tool/MCP, and agentic workflow layers
- Multi-modal: text, image, and PDF attack payloads
- Multi-turn, adaptive adversarial conversations
- High-signal findings: confirmed, reproducible breaches rather than noisy theoretical flags
- Continuous regression and remediation re-testing (fixed / still-failing / regressed verdicts)
- Reproducible, evidence-grade findings with full conversation traces
- Scale-to-zero run infrastructure (ECS Fargate) — runs only when needed
- Available on AWS Marketplace

## Framework & regulatory coverage

- OWASP LLM / API / Agents Top 10
- MITRE ATLAS
- EU AI Act, NIST AI RMF, ISO 42001
- GDPR, India DPDPA

## Links

- Product: https://redteam.trampolyneai.com/
- Company: https://trampolyneai.com
- AWS Marketplace: https://aws.amazon.com/marketplace/pp/prodview-yz6ouxmz3mo6q