
MindShield by BrainSNN is a browser-native cognitive security brain for enterprise AI. It turns content, prompts, documents, and agent actions into a live 3D brain state so teams can see manipulation pressure, trust risk, retrieval context, and defensive adaptation in one working system. Gemini 2.5 powers structured analysis of text and media, returning risk scores, evidence, reasoning, and recommended actions. Veea Lobster Trap gates every model prompt and MCP tool call, blocking prompt injection, PII, secret leaks, and unsafe destructive actions before they reach a model or agent tool. Red Team Simulator and Brain Evolve close the loop by testing the firewall against attacks, evolving better rules, and promoting stronger defenses without retraining a model. Multimodal RAG and Vector-Graph Fusion index text, images, tables, equations, and code into searchable enterprise intelligence.
19 May 2026
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XIO Compliance Brain helps lawyers, compliance officers, and regulated businesses review high-stakes documents — offering memoranda, KYC files, marketing decks, regulator letters, privacy memos, and contract clauses. Instead of producing one opaque chatbot answer (the failure mode of every generic legal-AI demo), it runs three AI reviewer perspectives in parallel against the same matter: • Regulatory Counsel — finds rule breaches, missing disclosures, and jurisdiction issues against NI 45-106 / OSC Rule 45-501 / NI 31-103 • Risk Officer — scores severity, investor exposure, and operational risk • Evidence Auditor — verifies citations, flags stale or jurisdictionally mismatched authorities, and refuses to sign off on unsupported claims A synthesis pass surfaces where reviewers agreed, diverged, and what the human owner should do next. An optional Round 2 has each voice defend, update, or concede their stance based on the synthesis. Every finding cites a retrieved authority. Outputs are bound to a SHA-256 hash before approval. Export of DOCX, redline PDF, and CRUMB-style audit handoff packs is gated on hash-confirmed sign-off. Every audit row stamps which inference engine served the matter, so a review run today on AMD/Qwen has the same audit shape as one tomorrow on OpenAI. The full ensemble — three reviewers, synthesis, and optional Round 2 — runs on a single AMD Instinct MI300X serving Qwen 2.5 72B via vLLM. 192 GB HBM3 is what makes parallel ensembles economical; cloud APIs would need roughly 4× H100s for the same workload (~$0.04 self-hosted vs ≈$8 cloud per Triad Review). Live: https://compliance-ai-amd-demo-production.up.railway.app/demo/judge Source: https://github.com/XioAISolutions/compliance-AI HF Space: https://huggingface.co/spaces/slavazeph/xio-compliance-brain-triad-review
10 May 2026