
cside is a browser-layer security platform that gives you visibility for every visitor, human or agentic. Security, fraud prevention, privacy and compliance, all from a single script.
Unlike traditional WAFs and server-side security tools, cside operates directly in the browser environment, monitoring every third-party script loaded on your pages in real time. This means threats that bypass your backend defences are caught at the point of execution.
What cside does:
Script Monitoring and Control: cside inventories, monitors, and enforces policy on every third-party JavaScript tag running on your site. 100% session coverage, no sampling. Every script. Every page load. Detect supply chain attacks, shadow scripts, and unauthorised tag injections before they reach your customers.
PCI DSS 4.0.1 Compliance: cside is the fastest path to meeting PCI DSS 4.0.1 requirements 6.4.3 and 11.6.1. Automated script authorisation, tamper detection, and continuous monitoring satisfy QSA requirements without manual effort. Validated by VikingCloud.
Device Intelligence: Persistent, privacy-safe device intelligence using 102+ signals and 40+ hashed attributes. 99.7% fingerprint accuracy enables fraud prevention, bot detection, and session continuity across logins, checkouts, and account actions.
AI Agent and Bot Detection: Identify and classify AI crawlers, headless browsers, and automated agents interacting with your site. Protect pricing data, inventory, and content from scraping and abuse.
Chargeback Evidence: Capture cryptographically verifiable session evidence at checkout to dispute fraudulent chargebacks. Reduce dispute losses without adding friction to genuine customers.
Who uses cside: E-commerce retailers, payment service providers, digital agencies, travel and hospitality platforms, iGaming and betting operators, financial services firms, and SaaS companies managing PCI compliance, fraud risk, and client-side attack surface across high-traffic web environments.
Deployment: One-line script tag. No proxy. No latency impact. Up and running in under 5 minutes.
SOC 2 Type II certified. PCI SAQ-D validated.
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Bluepear is an AI-powered brand and affiliate monitoring platform that helps marketing teams protect their brand in paid search. It monitors branded search queries 24/7 across all geographies, device types, and search engines (Google, Bing, Yahoo!, Yandex) to detect unauthorized keyword bidding, ad hijacking, coupon code abuse, and trademark violations.
The platform's uncloaking tool reveals actual landing pages and redirect chains behind cloaked affiliate links, capturing screenshots and ad data as evidence. All findings are centralized in one dashboard with instant alerts via Slack, Telegram, or email, and structured compliance reports for each incident.
It serves PPC teams, affiliate managers, and compliance teams in e-commerce, travel, pharma, health and beauty, marketing agencies, and IT/SaaS. Key features include brand bidding protection, competitor monitoring, progress status tracking, policy-based filtering, and global coverage down to city level.
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CEASE.ai
Artificial intelligence to detect new child sexual abuse material & save victims faster. Trained on real CSAM, our AI scans, identifies, and flags new images containing child abuse with unprecedented accuracy. Built in collaboration with law enforcement and leading Canadian universities, CEASE.ai is an ensemble of neural networks using multiple AI models to accurately detect images containing child abuse. Investigators access an easy-to-use plugin, upload case images, and run their hash list to eliminate known images. Then, they let the AI identify, suggest a label, and prioritize images that contain new, never-before-seen CSAM. From there, investigators review flagged images, confirm they contain illegal content, build their case against offenders — and rescue innocent victims faster. Social platforms send all user-uploaded images to the CEASE.ai API endpoint. From there, CEASE.ai identifies and labels any images containing child abuse, and sends a response — all in real time.
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