Prevents Unauthorized, Unintended AI Actions on Data and Systems
Trampolyne AI prevents AI from accessing or modifying data and systems beyond assigned authority and intended use. It evaluates every AI input, tool call plan and output in real-time to control data exposure, modification and unsafe actions.
Inline Enforcement...
All requests and responses flow through the platform while ensuring low-latency, deterministic enforcement in production environments.
of Policy-driven Control...
Decisions are made using general safety knowledge combined with organization-defined, AI system-specific policy - not static rules or post-facto alerts.
on All Types of AI Usage
- Proprietary AI systems facing customers, customers of custoemers or internal users
- Public AI tools that employees often use like web-based LLMs, APIs and MCPs.
Dashboard Built with B2C-Class Usability
Intuitive design to generate, test and manage policies, monitor enforcement and handle exceptions - designed for usability, collaboration & auditability.
Generate Policy from Existing Assets
Instantly create new policies with what you have - dump policy docs, ideas in your head or reuse previous policies.
Test Policies
Proactive recommendations for corrections and improvements. Test yourself and invite others to test and share feedback.
Push to Production
Seamlessly deploy tested policies to live AI systems with choices like pure observation mode vs active enforcement and one-click rollback.
Versioning & Controls
Audit-grade logs of policy versions with intelligent comparison options.
Exception Management
Manage, review and track exception requests with clear visibility and expiration controls.
Real-time Visibility
See audit-grade enforcement details and emerging risk - not just raw logs. See prevented attacks & patterns and behavioral risks.
Shadow AI Prevention without Compromise on Productivity
Intelligently prevents personal and proprietary data leaks across all AI surfaces, without slowing down your teams.
All AI Surfaces Covered
Protects across web-based LLMs, LLM APIs, MCPs and any new AI interface - no matter where Shadow AI emerges.
All Input Types
Scans and enforces policy on text, documents, images and more, ensuring nothing sensitive slips through.
Full Logs & Exception Management
Every action is logged for audit and compliance. Exception requests are managed with clear workflows and expiration controls.
AI Red Teaming - Continuous Testing of AI Systems to Uncover Runtime Vulnerabilities
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.