Rahman Gul@rahman_gul470

Agentic Audit is a proactive, multi-agent compliance monitoring system designed for enterprise organizations. Instead of relying on manual searches or reactive LLM prompts, our platform utilizes an asynchronous Python backend to continuously monitor highly regulated portals, such as the SEC or EU data privacy boards. By leveraging Bright Data's Web Unlocker and Scraping Browser, our system successfully bypasses the geo-blocks and heavy JavaScript barriers that typically block standard bots, allowing us to reliably capture raw regulatory text and timestamped screenshot evidence. Once our monitoring engine detects a change via SHA-256 hash comparisons, it triggers a multi-agent AI swarm. These agents analyze the text diffs, strip away the legal jargon, and map the updated regulations directly against internal company controls. The final output is delivered to a React dashboard where compliance officers can view a side-by-side comparison of the AI's risk assessment and the verified Bright Data screenshot. The system goes beyond basic summarization by providing actionable, auto-generated engineering tickets for immediate remediation, turning raw web data into operational enterprise security.

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