Build **RadicalizationShield AI**—a $40K/year **Cybersecurity SaaS + federated learning platform** combining **LLM-powered narrative analysis**, **real-time behavioral profiling**, and **automated subpoena compliance** for EdTech and social platforms. The MVP would: (1) Deploy **‘NarrativeSense’**: Fine-tuned LLMs (e.g., Llama-3.2-70B) analyzing text, voice, and video for extremist narratives (e.g., ‘“Great Replacement” + “white genocide” = 98% radicalization risk’); (2) Provide a **‘Behavioral Heatmap’** showing user engagement patterns (e.g., ‘User #XYZ: 400% increase in extremist content consumption’); (3) Integrate with **platform APIs** (Discord, Twitch, Reddit) to auto-flag/quarantine high-risk content (e.g., ‘Subreddit #ABC: Quarantined—200 subpoenas pending’); (4) Offer a **‘Subpoena Compliance Engine’** that auto-generates DOJ/FBI reports (e.g., ‘DOJ Form 123: Ready for submission’); (5) Include a **‘Counter-Radicalization Playbook’** with pre-approved responses (e.g., ‘Redirect to mental health resources—approved by DOJ’).

Online radicalization is surging, with platforms facing increasing scrutiny from governments (e.g., US House Oversight Committee, UK OSA). Current moderation tools (e.g., keyword filters, human reviewers) are reactive, slow, and fail to address narrative-driven extremism. Platforms risk subpoenas, fines, and reputational damage, while educators and parents lack tools to counter radicalization in EdTech environments. The cost of inaction includes legal battles, platform bans, and harm to users.