An enterprise buyer asked for a third-party assessment
Procurement wants an independent letter or report covering app, API, cloud, identity, and AI-feature security before they sign. Your in-house team can't sign off on themselves.
Built for SaaS startups that need a credible, third-party validation of app, API, cloud, identity, and AI-feature exposure - before a launch, an investor diligence, or a buyer-requested security assessment puts the company on the spot.
AI-assisted recon. Senior-operator validation. No platform alert noise.
For SaaS startup moments where engineering's gut and buyer pressure meet - and "we'll fix it later" is no longer an option.
Procurement wants an independent letter or report covering app, API, cloud, identity, and AI-feature security before they sign. Your in-house team can't sign off on themselves.
Series B due diligence now includes security, AI, and product risk review. We produce the assessment material your investor's technical advisor will actually accept.
New AI feature, new integration, new tenant model, new auth flow - validated under real attack patterns before a breach makes it expensive instead of cheap.
Multi-tenant data isolation, identity attack surface, exposed secrets, broken object-level authorization, prompt injection paths - validate it on your terms, not after a customer finds it.
Output is built to land on three desks: your engineers (so they can fix it), your founder (so they can prioritize it), and your buyer's CISO (so they can sign off).
Every finding reproduced and triaged by a senior security operator, prioritized by buyer impact and exploitability - not a 200-line scanner export.
What to fix this week, what to fix this quarter, what to accept and document. Each item includes engineer-ready guidance, not "engage your security team."
Optional one-page (or longer) summary you can attach to the enterprise security review, investor data room, or AI due diligence response.
Final scope is confirmed in the free Blocker Review. Most engagements cover the surfaces below; we narrow or expand by what matters for your live deal.
OWASP top 10 patterns, broken object-level authorization, broken function-level authorization, multi-tenant data leakage, GraphQL exposure, server-side request forgery, and modern API attack patterns.
AWS / GCP / Azure baseline review, IAM hardening, public-asset enumeration, network segmentation, secret exposure across CI/CD, and runtime container security.
Account takeover paths, MFA bypasses, session handling, OAuth scope abuse, third-party integration exposure, and the SaaS identity attack patterns that target fast-growing startups.
Prompt injection paths, RAG retrieval boundaries, model output handling, AI tool/function calling abuse, third-party LLM trust posture, AI data flow, AI feature authorization, and the OWASP LLM Top 10 in your specific architecture.
AI-assisted tools surface signal at speed. Senior judgment validates and prioritizes - so you get findings, not noise.
We confirm scope, get safe access to staging or controlled environments, and run AI-assisted reconnaissance across the agreed surfaces.
Senior operators reproduce findings by hand, validate exploitability, and chase the depth-test paths that matter for your buyer's threat model.
Findings doc, remediation guidance, optional buyer-shareable assessment letter, and a working session with engineering to walk through fixes.
Optional re-test of high-priority fixes, plus the option to move into a fractional security partnership for continuous validation as the product evolves.
When app, API, cloud, identity, or AI-feature exposure needs to be validated before a launch, an investor diligence, or an enterprise buyer asks for a third-party assessment.
Closer to a focused security assessment than a generic pen test. We use AI-assisted recon plus senior-operator validation to surface real exploitable risk across web, API, cloud, identity, and AI surfaces - then prioritize by buyer impact, not CVSS theatre. We can produce a buyer-shareable assessment letter on request.
Tested. Prompt injection paths, RAG retrieval boundaries, model output handling, AI tool/function calling abuse, third-party LLM trust posture, AI data flow, and AI feature authorization are all part of the assessment when AI features are in scope.
Scanners produce alert backlogs that engineering quietly ignores. We produce validated, business-risk-prioritized findings - every one reproduced and triaged by a senior security operator before it lands in the report.
Starts at USD 6,500. Final scope and price are confirmed after the free 30-Minute Blocker Review. Typical timeline 10-21 days.
Bring the launch, the AI feature, the buyer-requested assessment - we'll confirm scope in the free Blocker Review and start the sprint the same week if it makes sense.