"What I appreciated most was the approach - first-principles thinking, not just throwing an LLM at the requirement. Every finding came with clear proof, severity mapping to OWASP and LLM-specific threat models and actionable fixes prioritized by impact. When we look at Trampolyne's other offerings like the AI Governance Platform, we see even bigger value for us."
Head of Security, growth-stage companyAI inside your enterprise
AI is moving through your enterprise faster than you can govern it.
Two things are happening at once: your people paste sensitive data into public LLMs, and your own copilots and agents act on systems they were never scoped for. Trampolyne enforces what AI can access, do and share - before it acts - and logs every decision for audit.
Two risks, one owner
The AI you didn't approve - and the AI you did - both leak data
Shadow AI - the AI you didn't approve
Employees use ChatGPT, Claude, Copilot and MCP-connected tools without going through security. Source code, customer data and internal documents leave the perimeter with no record - and your acceptable-use policy has nothing to intercept them.
Production AI - the AI you did approve
Internal copilots and agents sit on broad knowledge and live tools. Without per-request control, they surface data users were never meant to see and trigger actions in CRM, finance and infra systems. Logs alone tell you after it already happened.
What we provide
Enforcement before AI acts. Evidence after.
Shadow AI Detection & Runtime Control
Govern employee AI use across web LLMs, APIs and MCP surfaces. Block sensitive data - text, documents, images, code - by classification and provenance, not keyword. Exception workflows for legitimate business use.
Enterprise AI Security & Runtime Control
Sit inline between users and your internal AI. Check identity, data sensitivity, intended action and tool scope in milliseconds, then allow, block, redact or route for approval - before the model or tool executes.
A complete audit trail
Every prompt, transfer and policy decision - logged, timestamped and queryable. When an incident is investigated or a regulator asks, you have the full record: what, who, which policy, allowed or blocked, and why.
AI governance evidence
One audit trail. Evidence that maps to every framework.
AI governance is moving from voluntary to mandatory. Trampolyne's deterministic audit trail gives compliance and legal teams evidence that maps to the frameworks reviewers cite - continuously, not retroactively. We help you align (we don't certify).
ISO/IEC 42001
The AI management-system standard. Our audit trail is the
documented evidence it asks for - we help you align (we don't certify).
NIST AI RMF
Maps to the Govern and Manage functions - continuous evidence that
your AI controls operate the way you claim.
NIST CSF 2.0 - Govern
The new Govern function now extends to AI. Per-request logs
evidence oversight of what your AI can access and do.
EU AI Act
GPAI and deployer obligations since Aug 2025. Enforcement and logs
evidence your governance and transparency duties.
India DPDP Act
Blocks data processing by unauthorized AI services; logs provide
evidence of how personal data was handled.
OWASP LLM & Agent Top 10
Red-team findings and runtime controls map directly to the same
threat categories reviewers reference.
From partners
What security practitioners said
Trying to get ahead of an AI security mandate or incident?
Whether you already know Shadow AI is happening in your org or you are trying to get ahead of a DPDP or EU AI Act obligation - 20 minutes is enough to understand if we can help.