# AUREN Guardian AI Platform ## Hardwired Data & Technical Specifications **Version:** 1.0 **Date:** December 2025 --- # HARDWIRED DATA REQUIREMENTS ## 1. LEGISLATIVE DATABASE ### Required Complete Legislative Text **UK GDPR & Data Protection Act 2018** - All 99 Articles (child-relevant sections) - All Recitals - All Schedules - ICO Guidance Documents (complete collection) - Enforcement history and case law **Children's Code (Age Appropriate Design Code)** - All 15 Standards (complete text) - ICO implementation guidance - Platform compliance examples - Enforcement actions **Online Safety Act 2023** - Complete Act (all parts, sections, schedules) - Threshold Conditions Regulations 2025 - Ofcom Codes of Practice (as released) - Implementation timeline - Category definitions and thresholds **KCSIE (Keeping Children Safe in Education)** - KCSIE 2024 (complete statutory guidance) - KCSIE 2025 (complete statutory guidance) - Change comparison document - DfE Generative AI guidance - Filtering and monitoring standards **Devolved Legislation** SCOTLAND: - Getting It Right for Every Child (GIRFEC) framework - National Guidance for Child Protection in Scotland - SHANARRI wellbeing indicators (complete) WALES: - Social Services and Well-being (Wales) Act 2014 (complete) - Wales Safeguarding Procedures (complete) - "More Than Just Words" Welsh language framework NORTHERN IRELAND: - Children (Northern Ireland) Order 1995 (complete) - SBNI procedures and guidance ### Data Structure for Each Legislative Item ```json { "id": "unique-identifier", "slug": "url-friendly-name", "title": "Official Title", "jurisdiction": ["UK" | "England" | "Scotland" | "Wales" | "Northern Ireland"], "type": ["Act" | "Statutory Guidance" | "Code of Practice" | "Regulation"], "status": ["Active" | "Pending" | "Repealed"], "effective_date": "YYYY-MM-DD", "last_amended": "YYYY-MM-DD", "source_url": "Official government source", "full_text": "Complete legislative text", "plain_english_summary": "Accessible summary for parents", "key_points": ["Bullet list of essentials"], "applies_to": ["Data controllers", "Schools", "Parents", etc.], "age_thresholds": [13, 16, 18], "ai_specific_provisions": true/false, "related_legislation": ["IDs of related laws"], "enforcement_authority": "ICO | Ofcom | Local authority", "penalties": { "max_fine_gbp": 17500000, "max_fine_percentage": 4, "other_penalties": ["Service restriction", "Criminal prosecution"] }, "compliance_checklist": ["Item 1", "Item 2", ...], "case_law": [ { "case_id": "ico-tiktok-2023", "date": "2023-04-04", "parties": "ICO vs TikTok", "outcome": "£12.7m fine", "summary": "Brief description", "implications": "What it means for others" } ], "last_verified": "YYYY-MM-DD", "version": 2 } ``` --- ## 2. PLATFORM SAFETY DATABASE ### Required Platforms (Minimum 50) **Social Media:** - TikTok, Snapchat, Instagram, Facebook, WhatsApp, Telegram, Discord, X/Twitter, Threads, BeReal, Reddit **Gaming:** - Roblox, Minecraft, Fortnite, Among Us, FIFA/EA Sports, Call of Duty series, Grand Theft Auto series, League of Legends, Valorant **AI Systems:** - ChatGPT, Character.AI, Google Gemini, Microsoft Copilot, Claude, Snapchat My AI, Meta AI, Perplexity, Pi, Replika **Messaging:** - WhatsApp, Telegram, Signal, iMessage, Messenger **Video/Streaming:** - YouTube, YouTube Kids, Twitch, Netflix, Disney+, Amazon Prime ### Complete Data Required for Each Platform ```json { "id": "uuid", "slug": "platform-name", "name": "Official Platform Name", "type": "social_media | gaming | ai | messaging | video", "ownership": { "company": "Parent Company Name", "headquarters": "Country", "publicly_traded": true/false }, "age_restrictions": { "minimum_age": 13, "age_verification_method": "self_declaration | email | ID | biometric | none", "age_verification_robustness": "strong | medium | weak | none", "enforcement_quality": "Description of how well age limits are enforced" }, "user_statistics": { "global_users_millions": 1000, "uk_users_millions": 23, "child_users_uk_percentage": 25, "age_distribution": {"13-15": 30, "16-17": 20} }, "safety_features": [ { "feature_name": "Family Pairing", "availability": "All users 13-17", "setup_difficulty": "Medium (10 minutes)", "effectiveness": "Medium - Child can disable with notification", "features": ["Screen time limits", "Content filtering", "Direct message control"], "limitations": ["Child notification on setup", "Can be circumvented"], "setup_url": "/parent-portal/devices/tiktok/family-pairing", "last_verified": "2024-12-01" } ], "known_risks": [ { "risk_type": "algorithmic_harm", "severity": "HIGH", "affected_ages": [13, 14, 15, 16, 17], "description": "Algorithm pushes harmful mental health content", "evidence": [ { "source": "Amnesty International", "date": "2023-11", "finding": "Harmful content within 20 minutes for teens" } ], "mitigation": "Use with Family Pairing + content filtering + regular check-ins" } ], "regulatory_actions": [ { "date": "2023-04-04", "authority": "ICO", "action_type": "Fine", "amount_gbp": 12700000, "reason": "Misuse of data from 1.4M UK children under 13", "outcome": "Paid + policy changes required", "changes_made": ["Age verification improved", "Data retention reduced"] } ], "parental_controls": { "available": true, "setup_time_minutes": 10, "features": { "screen_time_limits": true, "content_filtering": true, "direct_message_control": true, "location_tracking": false, "purchase_controls": true, "conversation_monitoring": false }, "access_methods": ["In-app", "Separate parent app", "Web dashboard"], "child_awareness": "Child is notified when parental controls activated", "bypass_difficulty": "Medium - Tech-savvy teens can circumvent" }, "data_privacy": { "data_collected": ["Name", "Age", "Location", "Viewing history", "Biometric (face)"], "data_retention_days": 90, "data_shared_with": ["Advertisers", "Third-party partners"], "data_used_for_ai_training": true, "user_can_delete": true, "deletion_method": "In-app settings → Account → Delete data", "gdpr_compliant": "Claimed but contested" }, "content_moderation": { "methods": ["AI automated", "Human review", "User reporting"], "response_time": "Automated: instant, Human review: 24-48 hours", "effectiveness_rating": 6, "known_gaps": ["AI-generated content slips through", "Coded language not caught"] }, "auren_safety_score": { "overall_score": 52, "breakdown": { "technical_safety": 15, "privacy_protection": 18, "child_development": 10, "governance": 9 }, "certification": "NOT RECOMMENDED (below 60)" }, "auren_recommendations": { "ages_0_5": { "verdict": "NOT_RECOMMENDED", "reasoning": "No content suitable for this developmental stage" }, "ages_5_11": { "verdict": "NOT_RECOMMENDED", "reasoning": "Below platform minimum age. Content not developmentally appropriate." }, "ages_11_13": { "verdict": "NOT_RECOMMENDED", "reasoning": "Below Terms of Service age 13" }, "ages_13_16": { "verdict": "CONDITIONAL", "conditions": [ "Family Pairing enabled and verified weekly", "Parent educated on algorithmic harms", "Daily time limit maximum 1 hour", "Weekly conversation about content consumed", "Restricted Mode enabled" ], "reasoning": "High algorithmic risk but can be managed with robust parental involvement" } }, "resources": { "setup_guide": "/parent-portal/platforms/tiktok/setup", "incident_response": "/parent-portal/crisis/platforms/tiktok", "platform_safety_center": "https://www.tiktok.com/safety", "platform_support": "https://support.tiktok.com" }, "screenshots": { "ios": [ {"version": "iOS 18", "feature": "Family Pairing", "url": "/assets/screenshots/tiktok-ios18-family-pairing.png"} ], "android": [ {"version": "Android 15", "feature": "Family Pairing", "url": "/assets/screenshots/tiktok-android15-family-pairing.png"} ] }, "last_updated": "2024-12-01", "update_frequency": "Monthly", "next_review": "2025-01-01" } ``` ### Screenshot Management System **Requirements:** - OS-specific screenshots (iOS 17, iOS 18, Android 14, Android 15, etc.) - Feature-specific screenshots (setup steps, safety settings, parental controls) - Automated version detection (flag when new OS/app version released) - Community contribution system for new screenshots - Quality standards (resolution, annotations, clarity) --- ## 3. THREAT INTELLIGENCE DATABASE ### Threat Categories & Update Protocols **AI-Related Threats** (Daily monitoring): - AI-generated CSAM - Deepfake creation tools - AI-powered grooming - AI academic cheating tools - AI companion dependency **Platform-Specific Threats** (Weekly monitoring): - Viral challenges (TikTok, YouTube) - New grooming tactics (Snapchat, Discord) - Gaming exploitation methods (Roblox, Minecraft) - Messaging scams (WhatsApp, Telegram) **Social Engineering** (Weekly monitoring): - Sextortion campaigns - Phishing targeting children - Account takeover methods - Impersonation scams **Traditional Harms (Evolving)** (Monthly review): - Cyberbullying techniques - Self-harm content networks - Eating disorder communities - Extremist recruitment ### Threat Data Structure ```json { "id": "uuid", "slug": "threat-name", "title": "Public-Facing Threat Name", "category": "ai_csam | deepfake | sextortion | challenge | grooming | etc.", "severity": "CRITICAL | HIGH | MEDIUM | LOW", "status": "ACTIVE | MONITORING | RESOLVED", "first_detected": "YYYY-MM-DD", "last_incident": "YYYY-MM-DD", "affected_platforms": ["TikTok", "Snapchat", "Instagram"], "affected_ages": [11, 12, 13, 14, 15, 16, 17], "affected_demographics": { "primary": ["Girls", "LGBTQ+ youth"], "secondary": ["All children"] }, "geographic_spread": ["UK", "US", "Global"], "description": "Parent-accessible description of threat", "how_it_works": "Technical explanation in plain English", "prevalence": { "uk_incidents_known": 150, "uk_incidents_estimated": 5000, "global_incidents": 50000, "sources": ["IWF", "NSPCC", "Police data"] }, "harms": [ "Psychological trauma", "Sextortion/blackmail", "Reputation damage", "School disruption", "Legal consequences" ], "legal_status": "Illegal under Protection of Children Act 1978", "detection": { "parent_warning_signs": [ "Child mentions altered images of classmates", "Sudden social media withdrawal", "Unexplained distress", "School incidents reported" ], "school_warning_signs": [ "Multiple students reporting same issue", "Bullying involving images", "Social media sharing patterns" ], "technical_indicators": [ "Specific app installations", "Search history patterns", "Communication changes" ] }, "prevention": { "parent_actions": [ "Privacy settings: Friends-only photo visibility", "Regular conversations about digital content manipulation", "School communication about prevention education" ], "school_actions": [ "Digital literacy curriculum inclusion", "Assembly/awareness raising", "Clear reporting mechanisms", "Policy updates" ], "platform_actions": [ "Report mechanisms", "Content takedown", "Account bans" ] }, "response_protocol": { "immediate_actions": [ "Do not share images further", "Screenshot evidence (without viewing if CSAM)", "Block perpetrator", "Report to platform", "Report to school", "Emotional support for victim" ], "short_term_actions": [ "Report to CEOP if criminal", "Report to IWF if CSAM", "Legal advice if needed", "Counseling for victim", "Evidence preservation for police" ], "long_term_actions": [ "Monitor for recurrence", "School policy updates", "Community education", "Victim ongoing support" ] }, "resources": [ { "title": "IWF Report on AI-Generated CSAM", "url": "https://www.iwf.org.uk/...", "type": "Research Report", "date": "2024-10" }, { "title": "CEOP Deepfake Reporting Guide", "url": "https://www.ceop.police.uk/...", "type": "Official Guidance", "date": "2024-11" } ], "related_threats": ["threat-id-1", "threat-id-2"], "alert_history": [ { "date": "2024-12-11", "channel": "Email, Homepage banner", "recipients": 15000, "effectiveness": "High engagement, 45% click-through" } ], "last_updated": "2024-12-15", "next_review": "2025-01-15" } ``` ### Threat Monitoring Automation **Sources to Monitor:** - IWF monthly reports (automated scraping) - NSPCC press releases (RSS) - Ofcom research (API where available) - CEOP bulletins (email parsing) - Academic databases (arXiv, SSRN) - News aggregators (BBC, Guardian, tech press APIs) - Social media (Twitter/X API, Reddit monitoring) - School incident reports (anonymized submissions) **Alert Triggers:** - New threat severity CRITICAL → Immediate homepage banner + email blast - New threat severity HIGH → Homepage listing + weekly email digest - Updated threat (new platforms/ages) → Update existing alerts - Threat resolved → Notification + archive --- ## 4. SUPPORT SERVICES DATABASE ### Required UK Support Services (100+ entries) **National Services:** - CEOP, IWF, Report Remove, Childline, NSPCC, Samaritans, YoungMinds, The Mix, Papyrus, BEAT (eating disorders), Frank (drugs), Brook (sexual health) **Regional Mental Health:** - NHS England CAMHS by region (all trusts) - NHS Scotland child mental health - NHS Wales child mental health - NHS Northern Ireland child mental health **Local Authority Services:** - Family Support Services (all 151 English local authorities) - Social Work Services (Scotland, Wales, NI) - Local Safeguarding Partnerships **Education Support:** - Educational psychology services (by region) - School nursing (contact by area) ### Support Service Data Structure ```json { "id": "uuid", "slug": "service-name", "name": "Official Service Name", "organization": "Parent Organization", "jurisdiction": "UK-wide | England | Scotland | Wales | Northern Ireland | Regional", "region": "North East | London | etc. (if regional)", "type": "law_enforcement | mental_health | helpline | counseling | legal | advocacy", "primary_purpose": "Brief description of what they do", "when_to_use": [ "Suspected online grooming", "Child sexual abuse imagery", "Mental health crisis", "etc." ], "eligibility": { "age_range": [0, 18] or "Any age", "location": "UK-wide or specific regions", "other": "Specific eligibility criteria" }, "contact": { "phone": "0800 1111", "phone_cost": "Free from landlines and mobiles", "email": "help@example.org", "website": "https://www.example.org", "report_url": "https://www.example.org/report", "chat": "Live chat available on website", "text": "Text 85258 for crisis support", "hours": "24/7 | Mon-Fri 9am-5pm | etc.", "languages": ["English", "Welsh", "Polish", "Urdu"] }, "what_they_do": "Detailed explanation of their role and services", "what_to_prepare": [ "Screenshots of concerning content", "Dates and times", "Platform names and usernames", "Child's description of events" ], "what_happens_next": "Explanation of their process after contact", "response_time": "Immediate | Within 24 hours | Within 5 days | etc.", "anonymity": "Can report anonymously | Name required | Flexible", "confidentiality": "Explanation of confidentiality limits", "will_they_contact_police": "Explanation of mandatory reporting", "accessibility": { "wheelchair_accessible": true, "bsl_interpreter": "Available on request", "hearing_loop": true, "easy_read_materials": true, "translation_services": ["Polish", "Urdu", "etc."] }, "audience": { "for_children": true, "for_parents": true, "for_professionals": true }, "related_services": ["service-id-1", "service-id-2"], "testimonials": [ { "text": "Anonymized testimonial quote", "source": "Parent, age 40, London", "date": "2024-10" } ], "last_verified": "2024-12-01", "verification_frequency": "Quarterly", "next_verification": "2025-03-01" } ``` ### Verification Protocol **Quarterly Verification (Every 3 months):** - Phone all numbers to confirm active - Email all addresses to confirm receipt - Check websites are live and content current - Verify hours and services unchanged - Update any changes immediately **Immediate Update Triggers:** - Service closure or merger - Contact detail changes - Service scope changes - Regulatory changes affecting service --- ## 5. RESEARCH DATABASE ### Required Research Papers (200+ minimum) **Categories:** 1. Developmental psychology & children's digital behavior 2. AI safety for children 3. Platform harms (social media, gaming) 4. Interventions & protective factors 5. Regulatory impact studies 6. Neuroscience of adolescent digital behavior ### Research Entry Structure ```json { "id": "uuid", "slug": "author-year-short-title", "title": "Full Paper Title", "authors": ["Author A", "Author B"], "institution": "University/Organization", "publication_date": "YYYY-MM", "journal": "Journal Name", "doi": "10.xxxx/xxxxx", "url": "https://...", "study_type": "Empirical | Review | Meta-analysis | Theoretical | Policy analysis", "methodology": "RCT | Observational | Survey | Interview | Mixed methods", "sample": { "size": 120, "age_range": [13, 17], "location": "United Kingdom", "demographics": "Description" }, "key_findings": [ "Finding 1 with data", "Finding 2 with data", "Finding 3 with data" ], "relevance_to_auren": "How this research informs AUREN recommendations", "practical_implications": [ "What parents should know", "What schools should do", "What policymakers should consider" ], "limitations": [ "Small sample size", "US-based (may not generalize to UK)", "Short-term study" ], "quality_assessment": { "methodology_rating": 8, "sample_quality": 7, "generalizability": 6, "overall_rating": 7, "rated_by": "AUREN Research Committee", "rated_date": "2024-12-01" }, "auren_applications": [ "Parent Portal: Ages 11-16 section", "Educator Portal: Staff training module", "Legal Library: Evidence base" ], "full_text": { "available": true, "access": "Open access | Institutional subscription required", "stored_locally": true, "file_path": "/research-pdfs/author-2024.pdf" }, "abstract": "Full abstract text", "plain_english_summary": "Accessible summary for parents", "citation_apa": "Author, A., & Author, B. (2024). Title. Journal, 10(2), 100-120. https://doi.org/...", "citation_harvard": "Author, A. and Author, B. (2024) 'Title', Journal, 10(2), pp. 100-120.", "related_research": ["research-id-1", "research-id-2"], "tags": ["ai_safety", "adolescent_development", "social_media", "mental_health"], "last_reviewed": "2024-11-15", "review_frequency": "Annual", "next_review": "2025-11-15" } ``` --- # TECHNICAL ARCHITECTURE ## 1. TECHNOLOGY STACK **Frontend:** ``` Framework: Next.js 14.2+ (React 18+) Styling: Tailwind CSS 3.4+ Components: Radix UI (headless, accessible) Forms: React Hook Form + Zod State: Zustand + TanStack Query Animation: Framer Motion (minimal, purposeful) Testing: Jest + React Testing Library + Playwright ``` **Backend:** ``` Runtime: Node.js 20 LTS API: Next.js API Routes + tRPC Database: PostgreSQL 15+ ORM: Prisma Search: Meilisearch (lightweight) or Elasticsearch (if scale requires) Cache: Redis 7+ Queue: BullMQ (for background jobs) Storage: AWS S3 or Cloudflare R2 ``` **AI/ML:** ``` LLM: Anthropic Claude 3.5 Sonnet (primary) OpenAI GPT-4 (fallback) Vector DB: Pinecone or Qdrant Embeddings: OpenAI text-embedding-3-small Framework: LangChain ``` **Infrastructure:** ``` Hosting: Vercel (Next.js optimized) CDN: Cloudflare (DDoS protection, caching, workers) Monitoring: Sentry (errors) + Vercel Analytics (performance) Uptime: Better Uptime or Uptime Robot Logs: Better Stack (Logtail) ``` **Development:** ``` Version Control: Git + GitHub CI/CD: GitHub Actions → Vercel Code Quality: ESLint + Prettier + Husky Documentation: Storybook (component library) ``` --- ## 2. DATABASE SCHEMA (PostgreSQL) [Due to length constraints, providing core tables structure] ```sql -- Core legislative data CREATE TABLE legislation ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), slug TEXT UNIQUE NOT NULL, title TEXT NOT NULL, jurisdiction TEXT[] NOT NULL, type TEXT NOT NULL, status TEXT NOT NULL, effective_date DATE, last_amended DATE, source_url TEXT, full_text TEXT NOT NULL, plain_english_summary TEXT, key_points TEXT[], applies_to TEXT[], ai_specific BOOLEAN DEFAULT FALSE, enforcement_authority TEXT, penalties JSONB, related_legislation UUID[], case_law JSONB[], compliance_checklist JSONB, created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW(), last_verified DATE NOT NULL ); -- Platforms CREATE TABLE platforms ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), slug TEXT UNIQUE NOT NULL, name TEXT NOT NULL, type TEXT NOT NULL, ownership JSONB NOT NULL, age_restrictions JSONB NOT NULL, user_statistics JSONB, safety_features JSONB[], known_risks JSONB[], regulatory_actions JSONB[], parental_controls JSONB, data_privacy JSONB, content_moderation JSONB, auren_safety_score JSONB, auren_recommendations JSONB NOT NULL, resources JSONB, screenshots JSONB, created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW(), last_updated DATE NOT NULL, update_frequency TEXT, next_review DATE ); -- Threats CREATE TABLE threats ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), slug TEXT UNIQUE NOT NULL, title TEXT NOT NULL, category TEXT NOT NULL, severity TEXT NOT NULL, status TEXT NOT NULL, first_detected DATE NOT NULL, last_incident DATE, affected_platforms TEXT[], affected_ages INT[], affected_demographics JSONB, geographic_spread TEXT[], description TEXT NOT NULL, how_it_works TEXT, prevalence JSONB, harms TEXT[], legal_status TEXT, detection JSONB NOT NULL, prevention JSONB NOT NULL, response_protocol JSONB NOT NULL, resources JSONB[], related_threats UUID[], alert_history JSONB[], created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW(), last_updated DATE NOT NULL, next_review DATE ); -- Support services CREATE TABLE support_services ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), slug TEXT UNIQUE NOT NULL, name TEXT NOT NULL, organization TEXT, jurisdiction TEXT NOT NULL, region TEXT, type TEXT NOT NULL, primary_purpose TEXT NOT NULL, when_to_use TEXT[] NOT NULL, eligibility JSONB, contact JSONB NOT NULL, what_they_do TEXT, what_to_prepare TEXT[], what_happens_next TEXT, response_time TEXT, anonymity TEXT, confidentiality TEXT, will_contact_police TEXT, accessibility JSONB, audience JSONB NOT NULL, related_services UUID[], testimonials JSONB[], created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW(), last_verified DATE NOT NULL, verification_frequency TEXT, next_verification DATE NOT NULL ); -- Research papers CREATE TABLE research ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), slug TEXT UNIQUE NOT NULL, title TEXT NOT NULL, authors TEXT[] NOT NULL, institution TEXT, publication_date DATE, journal TEXT, doi TEXT, url TEXT, study_type TEXT NOT NULL, methodology TEXT, sample JSONB, key_findings TEXT[] NOT NULL, relevance_to_auren TEXT NOT NULL, practical_implications TEXT[], limitations TEXT[], quality_assessment JSONB NOT NULL, auren_applications TEXT[], full_text JSONB, abstract TEXT, plain_english_summary TEXT, citation_apa TEXT NOT NULL, citation_harvard TEXT, related_research UUID[], tags TEXT[], created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW(), last_reviewed DATE NOT NULL, review_frequency TEXT, next_review DATE NOT NULL ); -- Content (guides, checklists, videos) CREATE TABLE content ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), slug TEXT UNIQUE NOT NULL, title TEXT NOT NULL, type TEXT NOT NULL, audience TEXT NOT NULL, age_group TEXT, category TEXT NOT NULL, summary TEXT, content TEXT NOT NULL, author TEXT, reviewed_by TEXT[], last_reviewed DATE, version INT DEFAULT 1, status TEXT DEFAULT 'published', views INT DEFAULT 0, downloads INT DEFAULT 0, helpful_votes INT DEFAULT 0, unhelpful_votes INT DEFAULT 0, created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() ); -- Indexes for performance CREATE INDEX idx_legislation_slug ON legislation(slug); CREATE INDEX idx_legislation_jurisdiction ON legislation USING GIN(jurisdiction); CREATE INDEX idx_legislation_fulltext ON legislation USING GIN(to_tsvector('english', title || ' ' || full_text)); CREATE INDEX idx_platforms_type ON platforms(type); CREATE INDEX idx_platforms_slug ON platforms(slug); CREATE INDEX idx_threats_status ON threats(status); CREATE INDEX idx_threats_severity ON threats(severity); CREATE INDEX idx_threats_category ON threats(category); CREATE INDEX idx_support_jurisdiction ON support_services(jurisdiction); CREATE INDEX idx_support_type ON support_services(type); CREATE INDEX idx_research_tags ON research USING GIN(tags); CREATE INDEX idx_research_publication_date ON research(publication_date DESC); CREATE INDEX idx_content_category ON content(category); CREATE INDEX idx_content_audience ON content(audience); CREATE INDEX idx_content_age_group ON content(age_group); ``` --- ## 3. UPDATE & MAINTENANCE PROTOCOLS **Daily:** - Threat intelligence monitoring (automated) - News aggregation for new threats - Platform safety news - Site uptime and performance **Weekly:** - Threat database updates - Platform safety updates (if changes) - Content analytics review - User feedback review **Monthly:** - Platform database full review - Screenshot updates (OS/app versions) - Content freshness check - SEO and accessibility audit **Quarterly:** - Legislative database verification - Support services verification (all contacts) - Research database additions - Full site accessibility audit - Security penetration testing **Annually:** - Complete content audit - Research quality re-assessment - Strategic review and planning - Governance board review