"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."
CEO, AI-native SaaS companyAI you build & ship
You built the AI product. Now the customer's security review is blocking the deal.
Enterprise procurement wants a security review your team was never set up to pass. We give you the red-team evidence and runtime controls to clear it - and prove your AI is governed.
The situation
Good deal. Ready product. The security review is the blocker.
It's one of the most common ways AI-native SaaS loses revenue - not on fit or price, but on a security questionnaire they couldn't answer.
The questionnaire arrives
Enterprise procurement sends a 60-question security review. Most questions are about data handling, access control, audit logging and AI-specific risk. You have partial answers at best.
Generic tools don't help
SOC 2 reports cover infrastructure. Pen tests cover traditional attack surfaces. Neither speaks to AI-specific risk: prompt injection, data leakage via LLMs or agent scope violations.
The deal stalls or dies
Without a credible AI security report, the enterprise security team flags the engagement. Legal and compliance get involved. Timeline slips from weeks to quarters.
What we do
Three things that directly unstall the deal
AI Red-Teaming report
Automated, multi-turn adversarial testing using real attack scenarios from your business context - model-level (prompt injection, role escalation, jailbreaks) and system-level (data exfiltration, privilege escalation, lateral movement).
Output: severity-ranked findings mapped to OWASP LLM & Agent Top 10 and MITRE ATLAS, with exploit evidence and fixes - formatted for enterprise security review.
See how it works →Runtime governance evidence
An inline enforcement layer between your users and your AI: every request is policy-checked before execution, every decision logged with a full audit trail.
You get auditable logs to share with customers, proof your AI can't reach data it shouldn't, and policy version history. Supports RBAC, ABAC, PBAC.
See how it works →AI Compliance Assistant
Turn that evidence into review-ready answers to your customer's security review - and prove you align with the standards they cite, from your own findings and docs you already have.
Answer once, reuse across every future review and RFP. We help you align (we don't certify).
Explore →What changes after
You go into the next security review with answers, not apologies
The shift from "we'll follow up" to "here is the report" changes how enterprise procurement sees you.
Answer every AI security question
Red-team findings map to the frameworks reviewers cite, and the
Compliance Assistant
turns them into review-ready answers to your customers' AI vendor
security questionnaire - evidence, not assurances.
Show ongoing controls, not one-time scans
Runtime enforcement logs demonstrate that governance is live and
continuous - not just a point-in-time audit. This matters to
enterprise legal and compliance reviewers.
Compress security review timelines
Procurement cycles that stall for months on AI security
questions move faster when you can submit a credible report on
day one of review.
From partners
This has unblocked real deals
"What really set them apart was unblocking large enterprise contracts for us. When enterprises came with rigorous security questionnaires, the team helped us answer every single one with confidence, backed by real evidence."
SaaS company building AI-native LMSHave a deal stalling right now?
20 minutes is enough to understand whether we can help and how fast. Responsewithin 1-2 business days.