
c/side: The Client-Side Platform for Cybersecurity, Compliance, and Privacy
Monitoring third-party scripts effectively eliminates uncertainty, ensuring that you are always aware of what is being delivered to your users' browsers, while also enhancing script performance by up to 30%. The unchecked presence of these scripts in users' browsers can lead to significant issues when things go awry, resulting in adverse publicity, potential legal actions, and claims for damages stemming from security breaches. Compliance with PCI DSS 4.0.1, particularly sections 6.4.3 and 11.6.1, requires that organizations handling cardholder data implement tamper-detection measures by March 31, 2025, to help prevent attacks by notifying stakeholders of unauthorized modifications to HTTP headers and payment information. c/side stands out as the sole fully autonomous detection solution dedicated to evaluating third-party scripts, moving beyond reliance on merely threat feed intelligence or easily bypassed detections. By leveraging historical data and artificial intelligence, c/side meticulously analyzes the payloads and behaviors of scripts, ensuring a proactive stance against emerging threats. Our continuous monitoring of numerous sites allows us to stay ahead of new attack vectors, as we process all scripts to refine and enhance our detection capabilities. This comprehensive approach not only safeguards your digital environment but also instills greater confidence in the security of third-party integrations.
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Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions.
Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies.
The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow.
Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.
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RISK IDENT
RISK IDENT, a leader in software development, offers anti-fraud solutions for companies in the e-commerce and telecommunications sectors. We are experts in machine learning and data analytics. Our most important products are DEVICE IDENT Device Fingerprinting and FRIDA Fraud Manager. These include account takeovers, payment fraud, and fraud within loan applications. Our intelligent software products detect online fraudulent activity by automatically evaluating and interpreting data points. We provide real-time results that allow you to stop fraudulent attacks before they occur. Multiple awards, serious data security. The key to fraud prevention is the network and evaluation of all relevant data points at high speed. We deliver exactly that: Real-time identification of anomalies.
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Diopter
Diopter is EDR for the human layer, built to stop AI social engineering and deepfakes while a call is still happening. Security teams already watch endpoints, email and identity, but the live conversation is where attackers now ask for the wire, the password reset or the system access. Diopter covers that gap on Zoom, Microsoft Teams, Google Meet, Webex and phone calls through Dialpad, RingCentral or any carrier API. Throughout each call it runs four checks together: who each participant really is, whether the voice or video is AI-generated, whether the conversation follows a social engineering pattern of authority, urgency, isolation and escalation, and whether the request breaks corporate, security or finance policy. Alerts reach the security team in real time with evidence attached. Rollout is through Intune, Jamf, Kandji or Workspace ONE, with cloud, hybrid or on-prem deployment, zero data retention options and SOC 2 Type II certification.
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