AegisVault: Automating Vendor Security Questionnaires with Gemini AI and n8n

AegisVault demonstrates a practical, high-value use of generative AI and workflow automation: reducing the time and human effort required to complete large B2B security questionnaires. By ingesting Excel/CSV/Google Sheets and mapping questions to internal policy artifacts, the engine returns citation-backed responses quickly-turning a repetitive procurement bottleneck into a near-automated step in vendor onboarding.

For businesses, the significance is twofold. First, it materially reduces procurement cycle time and frees security engineers from tedious clerical tasks, improving throughput without hiring. Second, the citation-centric outputs create a traceable audit trail that can be valuable for internal reviews and external attestations-assuming the citations are accurate and the underlying policy documents are properly versioned.

However, leaders must be mindful of risks: LLM hallucinations, stale policy mappings, and potential leakage of sensitive policy text. Practical guardrails include mandatory human-in-the-loop review for high-risk vendors, automated verification tests that check citations against source snippets, and retention of all inputs/outputs for auditability. Also ensure the workflow enforces least-privilege access to policy corpora and vendor data.

Actionable next steps: pilot AegisVault on a defined vendor cohort, measure time savings and error rates, integrate outputs with vendor risk scoring and ticketing systems, and establish change control for policy documents. If the pilot shows promise, fold the engine into procurement SLAs while investing in monitoring, periodic red-teaming of the LLM responses, and a documented escalation path for ambiguous answers.