
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

NeuroSec is an intelligent multi-layer AI immune system designed to protect autonomous multi-agent environments from modern AI-driven threats such as prompt injection, intent manipulation, privilege escalation, and data leakage. Unlike traditional security systems that only react after attacks occur, NeuroSec understands intent, predicts risky behavior, and makes intelligent decisions before execution. By combining LLM-as-Judge analysis, firewall-based protection, and adaptive security mechanisms, the system creates a smarter and more proactive approach to AI security. What makes NeuroSec unique is its ability to continuously evolve and explain its security decisions like a real immune system. The platform uses causal attack graphs, audit logging, and Red vs Blue adversarial learning to identify attack patterns, improve defenses, and maintain transparency in every interaction. Instead of being just another cybersecurity tool, NeuroSec introduces a new vision for secure and trustworthy AI systems that can think, adapt, and defend themselves in real time.
19 May 2026