Runtime Security for AI Systems

AI systems behave unpredictably at runtime, creating security blind spots that traditional tools cannot detect or prevent. Trampolyne AI provides runtime control over how AI systems behave in production.

Working with a limited number of design partners on internal AI systems.

Trampolyne AI policy creation UI
Policies Create & tune
Runtime AI security dashboard showing policy enforcement and AI incidents
GenAI security posture Trampolyne AI Console
Trampolyne AI incident logs
Incidents Logs & forensics
What Trampolyne AI Addresses

AI projects become costly in production

AI introduces a new class of failure: misbehavior. When not addressed, it leads to costs.

Undefined risk

AI behavior changes with context, prompts, and usage patterns. Traditional security tools cannot explain or control this.

Organizational freeze

Without enforceable controls, teams either ship blindly or stifle scope. Both lead to costs - either real or in terms of opportunity.

What is Trampolyne AI

Trampolyne AI in a nutshell

Trampolyne AI provides runtime control over AI behavior - governing who can access data, invoke tools, and execute actions in production systems. See Product Section for more details.

What Trampolyne AI enforces

Acceptable AI behavior - in real time

Trampolyne AI applies multidimensional policies in realtime to enforce whether an AI system is allowed to act.

Who can trigger AI actions
Enforce access based on role, identity, and intent - not just API keys.
What data AI can access
Prevent sensitive data exposure using contextual and behavioral policy.
Which tools AI can invoke
Control downstream actions across internal systems and workflows.
When behavior becomes abnormal
Detect and stop misuse, coercion, and policy violations at runtime.
How Trampolyne AI works

A runtime control plane for AI decisions

Trampolyne AI sits at the API gateway, where user intent, application context, and data sensitivity converge - before an AI action executes.

Users
→
Trampolyne AI
→
AI systems
No UX changes
Policy-as-code
Explainable decisions
Who Trampolyne AI Is Designed For

Teams deploying AI systems on real data & workflows

Security leaders responsible for AI risk
Platform teams deploying internal AI copilots
Enterprises running GenAI in regulated environments

See more details in How-it-works Section.

Take AI to production - without guessing risk

If you’re responsible for AI systems touching real data or workflows, let’s assess fit.