XPndAI builds the Adult Trust & Safety OS — comprehensive moderation pipeline, investigation workspace, user reporting workflow, evidence chain, regulatory reporting, and audit trail for legal adult content platforms, creator networks, and studios. CSAM detection, NCII protection, deepfake flagging, age check integration, human review queue management, CyberTipline/IWF reporting automation, and Ofcom audit readiness. B2B for platforms that take compliance seriously. Source code ownership. From $60,000.
CSAM (child sexual abuse material) detection is a legal obligation for platforms that host user-generated or creator content — failure to detect and report is a federal criminal offence in the US (PROTECT Our Children Act), and a criminal offence in the UK (IWF + UK OSA). XPndAI's CSAM detection stack: PhotoDNA hash matching (Microsoft PhotoDNA checks every uploaded file against the NCMEC hash database — the industry standard, covering millions of known CSAM hashes); IWF hash matching (UK Internet Watch Foundation hash database — separate from NCMEC, covers UK and EU-specific CSAM hashes; required for UK platforms); AI classifier for novel CSAM (AI classifies content that has not yet been hashed — apparent age, sexual content presence; any AI flag routes to human review before reporting; AI never autonomously classifies and reports novel CSAM); automated CyberTipline reporting (NCMEC CyberTipline submission for US platforms — generated automatically on confirmed hash match; report contains content hash, upload metadata, platform user ID; required within a reasonable time of detection under US law); automated IWF reporting (for UK/EU platforms); quarantine-first workflow (any CSAM-flagged content is quarantined immediately — not visible to other users, not accessible to the uploader, not accessible to platform staff without an investigation role); investigation workspace for reviewing flagged content (role-based access, secure viewer, no download capability, full action log). The human review queue for AI-flagged novel CSAM uses a reviewed-before-reported workflow — AI flags, human confirms or dismisses, confirmed cases are auto-reported.
Non-consensual intimate imagery (NCII) and AI-generated deepfakes of real people are rapidly growing trust and safety challenges for adult platforms — both create serious legal liability (NCII is a criminal offence in the UK under the Online Safety Act, and a civil cause of action in many US states; deepfake pornography is criminalised in the UK under the Criminal Justice Bill 2024). XPndAI's NCII and deepfake detection stack: StopNCII.org hash database integration (StopNCII is operated by the Internet Watch Foundation — victims can register their image hashes; XPndAI's platform checks every upload against the StopNCII database; a hash match triggers immediate quarantine and the victim notification workflow); AI deepfake detector (GAN face-swap and face-reenactment detection — the AI identifies AI-generated faces, face-swaps, and lip-sync deepfakes; confidence score routing — high confidence deepfake → quarantine; medium confidence → human review queue; low confidence → pass with monitoring flag); performer identity mismatch detection (if a content upload claims to feature Performer X but the AI does not identify Performer X's face in the content, this is flagged for human review — catches scenarios where a bad actor uses Performer X's identity to publish content not featuring Performer X); takedown workflow (confirmed NCII or deepfake → DMCA 512 / EU DSA Article 16 takedown notice generation; piracy monitoring integration for cross-platform takedown).
A multi-label AI classifier runs on every content upload, categorising content across multiple dimensions simultaneously: apparent age of subjects (adult/ambiguous — ambiguous routes to enhanced age verification check); consent signals (consent cues present/absent — not a legal determination, a risk signal for human review); prohibited content categories per the platform's own terms (e.g., non-consensual scenario depictions, specific prohibited content types); severity scoring (a combined risk score across all label dimensions — high-severity content routes to immediate human review regardless of CSAM/NCII hash result); content category (category classification for the platform's content library management — not a safety function, but built into the same classifier pipeline for efficiency). The classifier model is trained on the platform's own content taxonomy and prohibited content definitions — not a generic off-the-shelf model. Training data handling follows GDPR and privacy principles — XPndAI does not use client content to train models deployed on other client platforms.
AI handles the first pass — human reviewers handle the hard cases. XPndAI builds a purpose-built human review workspace for adult platform trust and safety teams: queue management (priority-ordered review queue — CSAM/NCII-adjacent content is priority 1; user reports are prioritised by severity signal and volume; content held from publication pending review is tracked with publication SLA); secure content viewer (encrypted viewing environment — content is not downloadable by reviewers; reviewer actions are logged; session recording option for accountability; role-based access — only assigned reviewers can view assigned content categories); decision actions (approve, reject, quarantine, escalate to legal, escalate to law enforcement, send to CyberTipline/IWF, user warning, user suspension, user ban — each action triggers the appropriate downstream workflow automatically); reviewer welfare tools (exposure limits — reviewers are rotated off CSAM-adjacent review queues; mandatory break enforcement; access to a psychological support resource link after each session reviewing severe content); quality assurance (a QA layer samples reviewer decisions — second reviewer validates a percentage of decisions; disagreement escalation workflow; decision accuracy tracking per reviewer).
User reports are the most important signal source for trust and safety — users report content that automated systems miss. XPndAI's user reporting and investigation workflow: in-platform reporting UI (every content item has a report button — report categories mapped to legal risk tiers; user can add free-text detail; report submitted with content reference, reporter account ID, timestamp, category); report triage (AI pre-classifies incoming reports by severity — high severity reports go to the front of the review queue; duplicate reports on the same content are aggregated; report volume spike detection for coordinated reporting campaigns); investigation workspace (investigation case created for each report; evidence collected — content item, report metadata, uploader account record, prior reports against the same user, content history of the uploader; investigation decisions logged with reasoning); reporter feedback (reporter receives a notification of outcome — "we've reviewed your report and taken action" or "we reviewed and found no violation" — meeting EU DSA Article 15 and UK OSA transparency requirements); appeals process (content creators can appeal removal decisions — structured appeal form, appeal review by a second reviewer, appeal outcome notification, appeal audit log — meeting EU DSA Article 20 requirements).
Regulators require evidence that trust and safety systems are working — Ofcom's transparency report obligations under UK OSA require annual reporting on content removal rates, AV coverage, complaints received. XPndAI's compliance dashboard and reporting: real-time metrics (content moderation volume, CSAM detection rate and reporting timeline, NCII and deepfake detection and takedown SLA, age verification coverage percentage, user report volumes and resolution rates, appeals filed and outcomes); UK OSA transparency report generator (structured report covering all Ofcom-required fields — content removal rates by category, AV coverage, complaints mechanism statistics, safety measures descriptions; exportable in the format Ofcom accepts); EU DSA transparency report (annual and semi-annual reporting requirements for applicable platforms — content moderation statistics, notice-and-action metrics, appeals statistics); CyberTipline reporting log (audit log of all NCMEC CyberTipline submissions — content, submission date, Tip ID, outcome); IWF reporting log (UK/EU — parallel to CyberTipline); Ofcom audit readiness (all evidence needed for an Ofcom investigation pre-organised — investigation report templates, evidence export, audit trail exports).
Adult platforms in the US, UK, and EU have legal obligations to detect and report CSAM. The specific requirements: (1) USA — under the PROTECT Our Children Act (18 U.S.C. § 2258A), any electronic service provider that obtains knowledge of an apparent violation involving child pornography must report it to NCMEC's CyberTipline. Failure to report is a criminal offence with fines up to $300,000 for a first offence and $1,000,000+ for subsequent offences. Proactive scanning using PhotoDNA + NCMEC hash matching is the industry-standard approach to meet this obligation — if you have the capability to detect and fail to deploy it, you have increased legal exposure; (2) UK — under the UK Online Safety Act, all regulated services must have systems to identify and remove CSAM. The Internet Watch Foundation (IWF) operates the UK CSAM hash database. Ofcom can require adult platforms to implement PhotoDNA or equivalent. The criminal offence of failing to prevent child sexual abuse is prosecutable under multiple UK statutes; (3) EU — EU Regulation 2021/1232 (temporary derogation) allows providers to voluntarily detect and report CSAM; the proposed EU CSAM regulation (Child Sexual Abuse Regulation — CSAR) would make detection and reporting mandatory for all platforms; (4) Australia — Australian law requires reporting of CSAM to the eSafety Commissioner and the Australian Federal Police. XPndAI's trust and safety stack implements PhotoDNA + NCMEC + IWF hash matching, mandatory automated reporting, and the human review workflow required for novel CSAM classification. Contact: +91-9625368140.
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XPndAI · Adult Platform Trust & Safety Software · Adult Content Moderation Software · CSAM Detection · NCII Protection · Deepfake Detection · PhotoDNA · IWF · CyberTipline · Human Review Workspace · Ofcom Transparency Report · EU DSA · Source Code Ownership · From $60,000 · +91-9625368140