Prevent AI-Driven Data Exposure & Corruption
AI systems create security blind spots at runtime that traditional tools cannot detect or prevent. Trampolyne prevents AI-driven manipulation of data and systems beyond assigned and intended authority.
Working with a limited number of design partners on internal AI systems.
AI can become costly in production
AI introduces a new class of failure: misbehavior. When not addressed, it leads to costs.
- Behavior of Production AI systems change with context, prompts, and usage patterns.
- Internal users are using public LLM tools (Shadow AI), often sharing personal & proprietary information.
Traditional security tools are limited to static authorization and cannot control or explain runtime, fuzzy risks.
Without enforceable controls, teams either ship blindly or stifle scope. Both lead to costs - either real or in terms of opportunity.
Platform to Prevent AI-led Data and Systems Breaches
Trampolyne AI enables a realtime, pre-execution governance over access to data and actions via production AI systems and public AI tools.
Enterprise AI Governance
Protects data and systems from unintended actions by proprietary AI applications.
Shadow AI Controls
Prevents data leaks in the form of text, documents, images across web-based LLMs, LLM APIs and MCPs.
AI Red-Teaming
Fully automated, multi-modal, multi-turn testing of AI systems with business context baked in.
See Product Section for more details.
Acceptable AI behavior - in real time
Trampolyne AI applies multidimensional policies in realtime to enforce whether an AI system is allowed to act.
A runtime control plane for AI decisions
Trampolyne AI sits at layers where user intent, application context, and data sensitivity converge - before an AI action executes.
See more details in How-it-works Section.
Teams deploying AI systems on real data & workflows
Take AI to production without guessing risk to data
If you’re responsible for AI systems touching real data or workflows, let’s assess fit.