Automated AI Red Teaming for Continuous AI Risk Detection

Trampolyne AI is a continuous AI security validation platform that automatically discovers, verifies, and exploits real vulnerabilities across chatbots, internal copilots, and agentic systems.

The platform follows a structured Recon > Verify > Exploit methodology:

Recon identifies system capabilities, accessible tools, and data exposure pathways
Verify filters out false positives and confirms only real, exploitable attack surfaces
Exploit executes targeted attacks to demonstrate real-world impact

This approach ensures that findings are accurate, actionable, and free from hallucinated risks.

Trampolyne simulates advanced adversaries through persistent, multi-turn attack strategies that adapt dynamically based on system behavior. It supports multimodal payloads including text, encoded inputs, documents, and images, allowing realistic testing across modern AI interfaces.

Every finding is delivered as an executive-ready report with:

Clear PASS/FAIL outcomes
Severity scoring and impact assessment
Reproducible exploit evidence

• Mappings to OWASP LLM Top 10, OWASP Agent Top 10, and MITRE ATLAS Matrix

Modern security standards emphasize continuous validation of AI systems. As models, prompts, and integrations change frequently, one-time testing is insufficient to maintain a strong security posture.

Typical usage patterns:

Initial validation: 2 to 5 evaluations
Ongoing monitoring: 10 to 20 evaluations per quarter
Production-scale coverage: 40+ evaluations annually

Pricing is usage-based, allowing teams to scale testing as needed.

Move from one-time testing to continuous AI security assurance.