Enterprise procurement no longer accepts "we use OpenAI" as an answer. Buyers now ship dedicated AI security sections inside vendor questionnaires - and most SaaS startups don't yet have credible answers. DevBrows is built to close that gap inside your live enterprise deal, not as a separate platform pitch.
Delivered inside the Enterprise Security Review Sprint or the SaaS Security Assessment Sprint - whichever fits your live blocker.
Below is the live AI security question set we see in enterprise vendor reviews for SaaS startups in 2026. If you can't answer most of these in writing, the deal is already at risk.
Provider region, data retention posture, training opt-out, sub-processor disclosure, prompt and response logging, redaction practices, and the audit trail enterprise buyers expect to see written down.
Direct and indirect prompt injection, untrusted content in retrieval, jailbreak resistance, tool/function-calling abuse, and the layered controls that demonstrate you've thought through the OWASP LLM Top 10 in your specific architecture.
OpenAI, Anthropic, Bedrock, Vertex, open-weight models on your own infra - each carries different commitments. Buyers want to see the specific provider list, the contract terms, and your fallback story.
Output sanitization, downstream tool authorization, content rendering controls, agent/tool action boundaries, and the controls that prevent model output from triggering unsafe actions in your product.
Model inventory, AI feature register, data flow documentation, AI risk assessments, NIST AI RMF mapping, change-control for model upgrades, and the artefacts buyers in regulated sectors are starting to require.
Misuse detection, prompt-injection telemetry, anomalous tool calls, output-quality monitoring, and the AI-specific incident response playbook your buyer's CISO wants to see.
Every output is built to land in a real enterprise procurement review or a real third-party assessment - not a marketing deck.
One-to-three-page document mapping your AI features, model providers, data flow, retention, output handling, and key controls - in language an enterprise buyer's CISO will accept.
Defensible written responses to the AI sections of CAIQ, SIG, and custom enterprise questionnaires - reviewed against your real architecture, not boilerplate.
For SaaS Security Assessment Sprints: a documented AI threat model plus tested findings against prompt injection, retrieval boundary, output handling, and AI-feature authorization paths in your stack.
Not a separate platform pitch. Not an upsell. The AI security work attaches to the sprint that actually solves the live deal.
When an enterprise buyer is asking AI security questions inside a vendor questionnaire or due diligence cycle, AI security work is delivered as part of the same sprint - same scope, same timeline, same trust pack output. See the Enterprise Security Review Sprint →
When AI feature exposure needs hands-on validation - prompt injection testing, RAG boundary checks, output-handling tests, AI-feature authorization paths - the work is delivered as part of the assessment sprint. See the SaaS Security Assessment Sprint →
The procurement world moved between 2024 and 2026. The compliance platforms haven't caught up. The traditional consultancies are too slow and too expensive. That gap is where SaaS startups lose deals - and where DevBrows closes them.
Vendor security questionnaires from Fortune 500s, regulated-sector buyers, and even mid-market enterprises now contain dedicated AI security sections. Standard, not optional.
Generic compliance automation tools handle policy templates and SOC 2 checklists. They do not write your AI architecture summary, defend your prompt injection posture, or test your RAG boundaries. That gap is widening - and DevBrows is built specifically to close it.
The market for senior AI security operators is thin and expensive. SaaS startups need the work done - they don't need (or can't afford) a full-time hire to do it. Sprint delivery fits the budget and the timeline.
Frameworks are still settling: NIST AI RMF, ISO 42001, OWASP LLM Top 10, EU AI Act, US state-level AI rules. We track them so you don't have to - and we translate them into answers your buyer's procurement team will accept.
No. It's a first-class focus inside the Enterprise Security Review Sprint and the SaaS Security Assessment Sprint. We route the work into the sprint that actually solves your live blocker.
Tested. Inside the SaaS Security Assessment Sprint, we test direct and indirect prompt injection, RAG retrieval boundary attacks, model output handling, AI tool/function calling abuse, and AI-feature authorization paths against your specific architecture.
Not inherently - but you need to be able to defend the choice. Enterprise procurement wants data handling commitments, training opt-out posture, sub-processor disclosure, regional routing, and your own controls on top of the provider. We help you write that story credibly.
NIST AI RMF, OWASP LLM Top 10, ISO 42001 (where relevant), and the AI sections of modern enterprise vendor questionnaires. We translate these into answers your buyer will accept rather than into a separate compliance program.
Bring the AI questionnaire, the buyer's AI section, the upcoming AI feature - we'll confirm scope in the free Blocker Review and route into the sprint that fits.