AI Runtime Security Platform

AI systems can do things they are not supposed to.
We make sure they don't. And we prove it.

Policies Create & tune

Runtime AI security dashboard showing policy enforcement and AI incidents

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.

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.

Unblock your enterprise deals →

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.

Enforce what employees can share →

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.

Control what your AI does at runtime →

Partners' feedback

What early partners say

"Within weeks of bringing in Trampolyne, the picture changed completely."

Harshit Garg, CEO, AI-native SaaS

"They unblocked large enterprise contracts. Every security questionnaire, answered with real evidence."

SaaS company building AI-native LMS

"They found deep, systemic vulnerabilities that had been sitting in production for months."

Ankur, CTO, early-stage startup

"Every finding had clear proof and actionable fixes prioritized by impact."

Head of Security, growth-stage company

View detailed testimonials →

The 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

The same prompt, run twice, can produce different behavior depending on context and model state. In our red-team assessments, AI agents routinely accessed data outside their defined scope - and the owning team had no record it happened.

Data leaking via employee AI

In 2023, engineers of world's leading electronics conglomerate leaked proprietary source code to ChatGPT. It happens daily across your org too. Employees aren't reckless - they just have no visibility into what "sharing" means when the recipient is a public LLM.

Blind spots in existing tools

SIEM, WAF, and DLP tools were built for deterministic software. They cannot parse intent, context, or the difference between a valid API call and one that exfiltrates your customer data. AI needs its own enforcement layer.

Deals lost to security reviews

Enterprise procurement will ask: "How do you govern your AI?" If your answer is "we trust the model," you lose the deal. One of our first customers lost a large enterprise deal before they had governance evidence. They didn't lose the next one.

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.

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.

Enterprise AI Security & Runtime Control

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 Detection & Runtime Control

Blocks data leaks across web LLMs, APIs and MCPs: text, documents, images with contextual policy-based controls beyond regex matches.

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.

Proof in the field

Real assessments. Real findings.

See what we've found inside production AI systems that passed GRC reviews.

Case Study

Compliant on paper. Breached in production.

3.49 MB of cross-tenant data exfiltrated from a GRC-certified AI sales platform in a single request.

Read case study →