Enterprise apps — ERP forms, CRM notes, finance fields, API payloads — are where real attacks land. Most tools either block at the network edge with no business context, or log incidents after bad data is already stored. SafeO sits at save time: every input is scored 0–100 and decided as ALLOW, WARN, or BLOCK before it commits. On BLOCK, SafeO opens an Investigation Room where four specialized agents collaborate through Band — not as a final notification layer, but as the actual workflow. MultilingualAgent detects and normalizes mixed-script evasion (Latin, Arabic, Urdu, Arabizi). PolicyAgent and ForensicsAgent run in parallel — one maps violations to compliance rules, the other reconstructs attack class and confidence. RemediationAgent reads both outputs and produces ordered ops steps. Each handoff posts structured context (scan ID, patterns, severity) into a Band chat room so analysts and judges can see real agent-to-agent coordination. GITHUB LINK - https://github.com/Shreeya1-pixel/SafeO_lablabai.git
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