An AI-native LMS platform was losing enterprise deals at the security review stage. Here is what changed.
The client had just lost a large enterprise opportunity — not because the product wasn't good enough, but because they couldn't clear the buyer's security review. More deals were moving through the pipeline carrying the same questionnaires: DPDP compliance, CERT-In logging, cloud posture, LLM supply-chain risk, and MCP security.
Their MCP server was a novel attack surface that generic VAPT vendors simply don't assess. And the team didn't have the bandwidth to produce evidence-backed answers within buyer timelines.
MCP servers are new territory. Most vendors don't know what to assess, let alone how.
Enterprise procurement teams reject vague assertions. They need traceable evidence tied to specific risks.
Another lost deal would signal a systemic problem to the market. The window to act was short.
We came in as a design partner across two workstreams, running in parallel to fit within the client's deal timeline.
We ran our full MCP RedTeam Framework against the client's production authentication and MCP server, covering both unauthenticated and privileged scenarios. The focus was chained attacks: the kind where individually defensible components combine into critical enterprise risk. Every finding mapped to OWASP Top 10 and OWASP LLM Top 10, so results translated directly into a CISO-ready narrative — not a raw technical list.
In parallel, we closed the gap between the client's existing controls and what large regulated buyers actually expect — cloud security posture, SIEM coverage, data lifecycle mapping, and a prioritised remediation roadmap the engineering team could execute without us. We also reviewed their questionnaire responses and rewrote weak sections into evidence-backed answers across DPDP, CERT-In, ISO 27001, and LLM-specific domains.
Within the engagement window, the client moved from "we lost a deal over security" to a position where active enterprise opportunities could progress through review. The work also produced a reusable asset that outlasts any single deal.
Active enterprise deals progressed through security review, with strengthened questionnaire responses delivered within buyer SLA.
Critical remediations shipped before the next production rollout, closing the attack paths that would have failed any serious enterprise audit.
Unique vulnerabilities catalogued and prioritised, giving the security team a clear, evidence-backed view of their surface for the first time.
A reusable enterprise security package — lifecycle diagrams, CSPM posture, CERT-In evidence, MLSecOps controls, and a red-team report — that makes every future RFP faster to answer.
"We lost a large enterprise deal because we couldn't clear their security review. That was a wake-up call. Within weeks, the picture changed completely. The team went beyond surface-level scans and uncovered vulnerabilities that had been sitting in our system for months. Everything was well documented, with clear severity and remediation steps."
"First-principles thinking — not just throwing an LLM over the requirement. Every finding came with clear proof, severity mapping to OWASP and LLM-specific threat models, and actionable fixes prioritised by impact. I'd recommend Trampolyne AI to any company serious about enterprise AI security."
If you're moving upmarket into banking, insurance, industrial, or healthcare accounts, you will face the same security review process. Generic pen-test vendors won't cover the parts that matter most for AI-native architectures.
We find attack chains that scanners and standard pen-tests miss — where Low and Medium components combine into critical enterprise risk.
Every finding maps to a concrete enterprise concern. The CISO narrative shifts from "trust us" to proof: here is the test, the finding, and the fix.
P0/P1/P2 sequencing with effort estimates — not a PDF thrown over the wall. Your team knows exactly what to close and in what order.
Built once, answers every enterprise RFP that follows — lifecycle diagrams, CSPM posture, CERT-In evidence, all ready to deploy.
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