Open AI safety infrastructure for the internet
Detect and moderate harmful advertising before users interact with it.
AEGIS is a privacy-first AI safety infrastructure platform that helps developers, families, schools, and organizations detect, score, block, blur, or label harmful and deceptive ads across websites, apps, and browsers.
Built around local-first AI, explainable moderation, and an open-source core.
“Guaranteed 40% returns. Limited offer.”
promo-invest-now.example.com
Explanation: Suspicious financial claim with guaranteed returns. Destination domain flagged for deceptive promotion.
The Problem
Harmful advertising is becoming harder to identify.
Scam promotions, phishing links, fake health claims, deceptive financial offers, counterfeit products, and AI-generated ads increasingly appear across websites, mobile apps, games, and sponsored content systems.
Scam investments and financial fraud
Deceptive investment promotions and guaranteed-return schemes targeting users across open web placements.
Phishing and malware campaigns
Sponsored content designed to steal credentials or drive users toward unsafe downloads.
Fake health and miracle-cure promotions
Unverified medical claims, counterfeit supplement ads, and dangerous wellness misinformation.
Counterfeit product ads
Promotions for replica goods, unlicensed items, and fake brand impersonation campaigns.
Unsafe ads for young users
Inappropriate, age-restricted, or exploitative advertising appearing in general-audience contexts.
AI-generated deceptive creatives
Synthetic media and AI-generated promotional content designed to mislead or manipulate.
Major platforms moderate their own ecosystems, but the broader open web still lacks a universal, user-controlled safety layer.
The Solution
AEGIS adds a safety layer between users and unsafe ads.
AEGIS analyzes advertising and promotional content in real time using policy rules, AI classifiers, domain reputation signals, and explainable risk scoring.
Detect
Identify harmful, deceptive, or suspicious advertising content across websites, apps, and browsers.
Score
Generate risk scores using multi-layer safety signals including text, image, URL, and domain reputation.
Moderate
Block, blur, label, or allow content based on configurable developer and organizational policies.
Explain
Surface clear, understandable reasons for every moderation decision made by the system.
Control
Let developers, parents, and organizations define safety policies for their specific audience.
How It Works
How AEGIS works
A five-step process from content detection to policy enforcement and explainable decisions.
Content is detected
AEGIS identifies ad-like or promotional content rendered inside a website, application, or browser page.
Safety signals are analyzed
Text, images, links, domain reputation, and behavioral patterns are evaluated against safety policies.
A risk score is generated
The engine computes a safety score and identifies likely risk categories for the content.
A policy action is applied
Content can be allowed, labeled, blurred, or blocked depending on configuration.
The decision is explained
Users and developers can understand why a moderation action was taken.
Platform
Built for developers, families, and organizations.
Developer SDK
A lightweight SDK for integrating real-time ad safety detection and policy enforcement into websites and applications.
View Developer PreviewFamily Protection Extension
A browser extension for reducing children's exposure to harmful, deceptive, or inappropriate advertising content.
Explore Family ProtectionOpen-Core Safety Engine
A transparent policy and detection engine designed for public trust, developer adoption, and responsible moderation.
Learn About Open SourceUse Cases
Designed for safer digital experiences.
Developers
Add configurable ad safety enforcement to web and mobile products with minimal integration effort.
Families
Help protect children from unsafe, deceptive, or inappropriate ads while browsing the open web.
Schools
Support safer browsing and research environments for students and educational institutions.
Enterprises
Prepare for future protection against malicious sponsored links and scam campaigns targeting employees.
Researchers & NGOs
Study harmful advertising patterns with more transparent and auditable safety infrastructure.
Privacy & Trust
Privacy-first by design.
AEGIS is designed to analyze content locally whenever possible, reduce unnecessary data collection, and make moderation decisions understandable to users, developers, and organizations.
Read Our Trust Principles- Local-first processing where possible
- No unnecessary browsing data collection
- Transparent safety categories
- Explainable decisions
- User and developer control
- False-positive awareness
Open-Core Model
Open where trust matters. Commercial where scale matters.
AEGIS follows an open-core model. The core detection and policy engine is designed for transparency, public review, and developer trust, while hosted services can support enterprise monitoring, analytics, policy sync, and compliance workflows.
Open Core
- Core policy engine
- Risk scoring logic
- Developer SDK foundations
- Safety taxonomy
Commercial Services
- Hosted dashboards
- Threat intelligence
- Enterprise monitoring
- Compliance workflows
Help build a safer advertising layer for the open internet.
Join the early access list to follow AEGIS development, test early tools, or contribute to the open-source ecosystem.