Product

Trampolyne AI is a runtime AI security platform

Trampolyne AI security platform sits at the API gateway to enforce acceptable AI behavior before actions execute. It evaluates every AI input and output in real time to prevent misuse, data exposure, and unsafe tool execution in production environments.

Inline enforcement

All requests and responses flow through Trampolyne AI at the API gateway, enabling low-latency, deterministic enforcement in production environments.

Policy-driven control

Decisions are made using general safety knowledge combined with organization-defined policy - not static rules or post-facto alerts.

Production-first design

Built for internal AI systems handling sensitive data, tools, and workflows across engineering, operations, finance, and support.

Policy-as-code enforcement for AI behavior

Policies define who can act, what can be accessed, and which tools can execute. Policy owners can define all this natural language.

Policy inputs

  • IAM groups, roles, and entitlements
  • Structured policy documents
  • Natural-language authored rules

Access models & scope

  • RBAC, ABAC, PBAC, NGAC
  • User, application, data, tool scopes
  • Composable and independent logic

Real-time visibility

Security teams see enforcement outcomes and emerging risk - not raw logs.

Prevented attacks

Blocked actions with full attribution

Behavioral risk

Agents and users drifting from policy

System posture

Coverage, latency, and enforcement health

Continuous AI Security Testing & Red-Teaming

Configurable, contextual, ML-powered red-teaming solution ensures continuous evaluation and policy strengthening.

Configure

Configure attacker access, org context and attack types

Schedule

Choose frequency or run ad-hoc

Find Gaps

Get exact point of vulnerability along with its type

Apply

Easily translate vulnerability report to policy fixes

See real-world AI security use cases in USe-cases Section.