Verifeye is a web-based AI application that helps users detect phishing and social engineering threats by analyzing suspicious messages and URLs. Users provide message content and answer a short guided survey, and the app uses Google Gemini AI to identify risk indicators, assign risk levels, and recommend clear next steps. The goal is to make cybersecurity threat detection simple, accessible, and effective for everyday users.

Ventura AI is a website that analyzes cyber requests using AI to detect bugs, malware, and infections in real time.

AI system that monitors transactions and user behavior to detect anomalies, preventing fraud in real time across banking and e-commerce platforms.

Ventura AI is a website that analyzes cyber requests using AI to detect bugs, malware, and infections in real time.

Classifies URLs as phishing or safe using lexical features and metadata.
leverage NLP and ML to block deceptive web links in real-time.

Detects credit card fraud using AI to flag suspicious transactions at scale.

Detects credit card fraud using AI to flag suspicious transactions at scale.

A real-time AI scanner that evaluates links, texts, and emails for phishing, malware, and scam indicators using threat databases and natural language cues.

Protects users from cyber threats with instant, intelligent spam detection.

Scans exposed data dumps using AI to match user credentials.

Alerts users of leaked usernames/passwords with confidence scoring.

AI system that monitors transactions and user behavior to detect anomalies, preventing fraud in real time across banking and e-commerce platforms.

Scans messages for social engineering tricks like urgency or impersonation.

 Uses NLP to flag phishing, scams, and manipulative content in real time.

Ventura AI is a website that analyzes cyber requests using AI to detect bugs, malware, and infections in real time.

AI system that monitors transactions and user behavior to detect anomalies, preventing fraud in real time across banking and e-commerce platforms.

An AI system that continuously monitors login behavior—like location, device, and time patterns—to detect anomalies and flag potential unauthorized access in real time.

Strengthens digital security by identifying threats before they escalate.

Detects credit card fraud using AI to flag suspicious transactions at scale.

Unsupervised clustering on flow data to highlight outliers.

Spot suspicious patterns in network logs.

Summarizes CVE descriptions and groups by severity. Condense security bulletins into actionable highlights.

Inspects HTTP request patterns for anomalies and abuse signatures.

Detect malicious payloads, injection attempts, and API misuse using NLP and sequence models.