"...within weeks, the picture changed completely."
Harshit Garg, CEO, AI-native SaaS company
AI systems can do things they are not supposed to.
We make sure they don't. And we prove it.
Policies
Create & tune
GenAI security posture
Trampolyne AI Console
Incidents
Logs & forensics
Your homegrown AI application are in production. Your employees are using web LLMs without guardrails. Your enterprise customers want compliance guarantees you can't yet make. Trampolyne AI closes these gaps - enforcing your policies in real time, logging everything so that you're always audit-ready and continuously stress testing your systems.
Working with a small number of design partners right now.
Find your path
Three problems. One platform.
AI you sell
Your enterprise customer asked how you govern your AI.
You built an excellent AI product. Now the deal is stalling because procurement wants governance evidence you can't yet produce.
AI your employees use
Your employees are sharing sensitive data with AI tools.
You know it's happening. You don't know what they're sharing or how to stop it without blocking productivity.
AI your org runs
Your AI system touched data it was not supposed to.
Your AI agent or copilot is running on real data. Without runtime controls, you find out what it did wrong after the fact — not before.
Design partner feedback
What early partners say
"...unblocked large enterprise contracts for us."
SaaS company building AI-native LMS"...found deep, systemic vulnerabilities that had been in production for a long time."
Ankur, CTO, early-stage startup"...every finding came with clear proof and actionable fixes prioritized by impact."
Head of Security, growth-stage companyThe gap
Traditional tools don't cover this
AI introduces a new class of failure: misbehavior at runtime. Most security tools were never built for it.
Unpredictable AI behavior
AI behavior changes with context, prompts and usage patterns in ways that traditional controls cannot detect or stop. A system that behaved safely yesterday can misbehave today.
Data leaking via employee AI
Employees share sensitive data with public AI tools daily, often without realizing it. Source code, customer data, internal documents - all leaving the perimeter.
Blind spots in existing tools
SIEM and authorization tools were built for deterministic software. They cannot explain or control fuzzy, context-sensitive AI decisions made at runtime.
The cost of waiting
Without enforceable controls, teams ship blindly or hold back. Both carry real costs: enterprise deals lost, data exposed, product velocity killed.
What Trampolyne AI is
One platform. Three coverage areas.
Trampolyne gives you real-time, pre-execution control over what AI can access, do and share, across production systems and employee usage.
Enterprise AI Governance
Controls what your proprietary AI can access and do, before it acts on real data and provides audit-grade logs wherever it does act.
Shadow AI Governance
Blocks data leaks across web LLMs, APIs and MCPs: text, documents, images with contextual policy-based controls beyond regex matches.
AI Red-Teaming
Automated, multi-turn adversarial testing with your business context and attack modelling built in. Helps you find and fix vulnerabilities no VAPT can touch.
How Trampolyne AI Governance Work
Inline, before the AI acts
Every AI request passes through Trampolyne first. Policies are checked in real time, invisibly, before anything executes.
User or System
Issues an AI request
All traffic
Trampolyne AI
Enforces policy before the AI acts
Context
→
Policy eval
→
Enforce
Allow / Block / Modify
AI System
LLMs, agents, tools, APIs
01
Context assembly
User identity, session history, data sensitivity and tool scope, pulled together before any policy check.
02
Policy evaluation
Your org's rules plus real-time behavioral signals, checked in milliseconds.
03
Deterministic enforcement
Allow, block, modify or redact. Full audit trail for every decision.
04
No architectural change
Integrates as an API gateway or proxy. No SDK sprawl, no model rewrites. Ships in days.
Testimonials
From people who've used it
Harshit Garg, CEO, AI-native SaaS company
We lost a large enterprise deal because we couldn't clear their security review. That was a wake-up call. We brought in Trampolyne AI and within weeks, the picture changed completely. The team went beyond surface-level scans and their red teaming uncovered vulnerabilities that had been sitting in our system for months. All documented with clear severity and remediation steps.
AI-native SaaS company
What really set them apart was unblocking large enterprise contracts for us. When these companies came with rigorous security questionnaires, the team helped us answer every single one with confidence, backed by real evidence. With them, we started winning. Trampolyne AI isn't just a vendor - they're our security partner. We continue to work with them to keep our governance layer tight as we scale.
Ankur, CTO, early-stage startup
As a CTO, I thought our security posture was reasonable until Trampolyne AI's red team assessment showed me otherwise. The platform found deep, systemic vulnerabilities that had been in production for a long time. What they uncovered wasn't theoretical - actual exploitable paths involving secret leakage, unauthenticated endpoints and error channels exposing internal architecture. These never emerged in any other scan we tried. VAPTs just don't work for AI applications.
Head of Security, growth-stage company
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. I'd recommend them to any company serious about enterprise AI security.
Not sure if we're the right fit?
If you have AI in production, employees using AI tools or an enterprise deal stalling on security questions, let's talk. 20 minutes is enough to figure out if it makes sense.