AxiSentinel extends continuous AI compliance evaluation to social networks, video-sharing and livestreaming services, marketplaces, search engines, app stores and messaging platforms: the AI that ranks the feed, recommends the next video, removes the post, estimates a user’s age, targets the ad and labels the deepfake, evaluated against the platform, online-safety, child-protection, privacy and AI rules of every market the platform serves.
Online platforms run on AI: the feed a user sees, the post that comes down, the ad that gets served, the age a face is estimated to be. For years platforms reported on that AI in their own words. In 2025 and 2026 regulators in Europe, the UK, Australia, Brazil, India and the United States started asking for proof.
Moderation, age-assurance and ad-tech vendors each report on their own tools, and transparency reports describe outcomes after the fact. No one evaluates the whole platform stack continuously, across every market it serves, with evidence an auditor, a regulator or a court would accept.
Platform AI sits under platform regulation, online-safety law, child protection, privacy law and AI-specific law, in every market the platform serves. AxiSentinel tracks every layer and builds RegDef packages the moment a rule is stable enough to evaluate against.
The first horizontal AI law, applying in phases to the ranking, moderation, generative and age-estimation AI a platform deploys toward users in the EU.
Very large online platforms and search engines, those with more than 45 million monthly active users in the EU, must assess and mitigate systemic risks and submit to a yearly third-party audit.
Every online platform must explain the main parameters behind its recommender systems and how users can change them.
Article 28 requires a high level of privacy, safety and security for minors, and the Commission’s guidelines of 14 Jul 2025 are its benchmark for compliance.
Profiling for feeds and ads, biometric age estimation and automated account decisions all process personal data at scale.
Ofcom’s codes apply to user-to-user and search services with links to the UK, wherever the platform is based.
Two federal rules enforced by the FTC that reach the core of platform moderation and children’s data.
States are moving age checks to the app store and the operating system, and regulating algorithmic feeds for minors.
In force since 10 Dec 2025: age-restricted platforms must take reasonable steps to prevent under-16s from holding accounts.
Brazil’s digital statute for children and adolescents, fully in force since its grace period ended on 17 Mar 2026 and supervised by the ANPD.
Two of Asia’s largest digital markets now set hard clocks and labelling duties for platforms.
General-purpose AI risk-management frameworks that already apply to every AI component in a platform stack.
From a single community app’s moderation model to a very large platform’s full ranking, safety and ads stack, AxiSentinel evaluates platform AI against whichever rule actually applies, wherever the user, the service and the data sit.
Nothing about AxiSentinel’s core architecture changes for online platforms. What changes is which RegDef packages are switched on and what telemetry the agents capture, from a feed-ranking model to an age-estimation check.
Agents capture ranking, moderation, age-assurance and ad-delivery telemetry on the cadence you configure, Always On or scheduled, never limited to a periodic audit cycle.
Every ranking decision, moderation action and ad impression evaluated against whichever platform, online-safety, privacy or AI rule set actually applies, per event.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, the kind of record a platform needs to show its auditor and its regulator how each control really performed.
Captures the parameters behind each ranked feed and confirms the non-profiling option is live, for DSA Articles 27 and 38.
Ongoing precision, recall and appeal-reversal tracking for trust and safety classifiers, by language, region and content type.
False positive and false negative rates for age-estimation models, tracked across age bands and demographic groups.
Label and provenance-marker coverage on AI-generated content, and disclosure checks on in-app AI assistants.
A compliance-state change on one service, region or feature propagates network-wide as it happens.
AXI-Node agents deploy alongside cloud and data-center platform infrastructure and in-region environments, or fully air-gapped through the .axibatch format.
Nothing becomes a compliance finding until a qualified AxiLayer AI auditor reviews and signs it, not for a feed-ranking model and not for an age-estimation system.
Evidence packaged for DSA annual audits, Ofcom information requests and national regulators, without rebuilding it for each one.
The same architecture monitoring a bank’s credit model or a hospital’s diagnostic AI now monitors a recommender system or a moderation classifier. What changes is which RegDef packages are switched on.
Platforms make billions of AI decisions a day, and the rules governing those decisions arrived in the same eighteen months. AxiSentinel’s architecture already does this for software AI; online platforms are a new RegDef surface on the same platform, not a new product.
Whether it’s a single app’s moderation model or a very large platform’s full ranking and safety stack, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, Always On or scheduled, with full evidence, and with a human signature before anything counts as a finding.
