Tools
Pre-trained AI models
Flagged uses pre-trained AI models as a key tool to enhance performance and accuracy. Allowing us to quickly adapt them to our specific needs, such as detecting threats or analyzing patterns. This ensures faster deployment and more reliable results without the need for extensive retraining.
NLP Libraries
Flagged utilizes NLP libraries as essential tools for understanding human language. These libraries enable functions like sentiment analysis and text classification, allowing us to extract insights from unstructured data and enhance user interactions efficiently.
Continual Retraining Mechanisms
Flagged incorporates continual retraining mechanisms to ensure our models stay current and effective. This allows us to adapt to evolving threats and user behaviors by regularly updating our algorithms with new data, enhancing accuracy and performance over time.
Flagged Brings The Solution
Browser Based Detection
Detect AI-generated content, phishing, fraud, and suspicious links or behaviors as you browse online. Our browser-based system scans pages for deepfake text, fake profiles, spoofed websites, and other threats, flagging them instantly to keep you safe from digital deception.
Warning Alrets Detection
Get instant warnings and alerts as you browse the internet. Hackers place malware, viruses, adware, trojans, spyware, cloned websites, spoofed DNS links, etc, online in an attempt to trick unsuspecting users to interact with these plants. Our algorithm detects these and flags them in real time.
Device Syncing Protection
Users can access our API and stay protected while browsing across all devices in real time. Whether on mobile phones, desktops, or laptops, our system ensures consistent, synchronized protection. It seamlessly syncs threat data and behavioral signals across platforms to deliver up-to-date security coverage.
AI Content Detection
Leveraging natural language processing (NLP) and machine learning models, the system will compare the style, grammar, and patterns in the text with known AI-generated formats. This model will continuously update based on new AI language models and their characteristics.
Phishing Detection
The phishing detection layer will use a combination of rule-based algorithms and AI to detect signs of phishing attempts. These include suspicious URLs, spoofed domains, and language patterns commonly associated with phishing.
Real Time Detection
Detect AI-generated content, phishing scams, online fraud, and suspicious email addresses instantly as they appear. Our real-time detection engine scans incoming emails, websites, and links for harmful intent, spoofing, deepfake language patterns, and unsafe sender behavior, flagging threats before they escalate.
Move to Cloud-Base Email
Leveraging natural language processing (NLP) and machine learning models, the system will compare the style, grammar, and patterns in the text with known AI-generated formats. This model will continuously update based on new AI language models and their characteristics.
Alerts & Reports
Receive Instant alerts and detailed reports on AI-generated content, potential phishing, and fraudulent activities. These alerts are triggered by our real-time detection system, which continuously monitors user interactions and flags any suspicious or harmful behavior across websites and online platforms.
Fraud Alerts
This layer will focus on detecting fraudulent emails by analyzing patterns of behavior, email metadata, and content associated with known fraud schemes. AI models will be trained on extensive datasets of known fraud cases to build robust detection capabilities.
Frequently Asked Questions
What are the most common email threats today?
How does Flagged combat these threats?
Why is email security so crucial?
How does our web browsing solution work?
What makes email attacks more dangerous?
How can organizations improve email security?
How we protect against web browser attack vectors?
What role do users play in email security?
