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1
1
Philippines
1 year of experience

For CISOs today, managing third-party vendor risk is a nightmare. Traditional monitoring tools try to solve this by assessing vendor security, but they do it by hoarding highly sensitive vulnerability reports in centralized databases. They aren't solving the risk; they are just building a massive honeypot for hackers.VendorGuard AI introduces a hybrid, zero-knowledge, local-first threat intelligence platform. We give B2B security teams deep OSINT insights without ever building a honeypot, because we evaluate third-party risks without ever storing the results on our servers.Our architecture operates in two distinct phases. On the server side, our Next.js execution layer orchestrates a swarm of AI agents statelessly. We leverage Bright Data’s Web Unlocker and SERP API to scrape unblocked security, compliance, and operational signals from the public web. This raw intelligence is instantly fed into Claude 3.5 Sonnet, our reasoning engine, to generate a comprehensive threat report.Once the report is streamed to the browser, our custom cryptographic vault, The Loom, takes over. Using an Argon2id WASM implementation, the browser derives a cryptographic key locally. The report is instantly encrypted via AES-GCM-256, shattered into redundant mathematical fragments using Reed-Solomon Galois Field ($GF(2^8)$) algebra, and stored in the browser's native IndexedDB. Even if a fragment is corrupted or deleted, the mathematical parity reconstructs the report perfectly in real-time.
31 May 2026