AI Cyber Threat Analyzer by Devowise StudiosAI Cyber Threat Analyzer by Devowise Studios

AI Cyber Threat Analyzer

Devowise Studios

Devowise Studios

AI Cyber Threat Analyzer — Building an Intelligent Threat Intelligence Platform for Rapid Security Assessment

Overview

At Devowise Studios, we developed the AI Cyber Threat Analyzer, an intelligent cybersecurity application designed to help users quickly assess the reputation and security risk of IP addresses, URLs, and domains through real-time threat intelligence and AI-powered analysis.
The platform combines trusted security intelligence from AbuseIPDB and VirusTotal with GPT-powered reasoning to transform complex security data into clear, actionable insights. Instead of requiring users to interpret raw threat indicators, the application generates concise risk summaries, identifies potential attack types, and recommends practical mitigation steps.
The project emphasizes speed, clarity, and accessibility—creating a security tool that supports cybersecurity professionals, researchers, and learners while showcasing the practical integration of AI into modern threat analysis workflows.

The Challenge

Threat intelligence platforms often return large amounts of technical data that can be difficult to interpret, especially for users who need quick security decisions. Switching between multiple tools to investigate a single indicator also slows down incident response and threat analysis.
We set out to build a platform that would:
Consolidate multiple threat intelligence sources into a single workflow.
Simplify security analysis through AI-generated summaries.
Provide clear risk scoring for rapid decision-making.
Deliver actionable recommendations based on detected threats.
Create an intuitive interface accessible to both technical and non-technical users.

Project Objectives

To achieve these goals, we focused on:
Automating the collection of threat intelligence.
Reducing complexity through AI-powered interpretation.
Presenting security findings in a structured and understandable format.
Delivering fast, responsive analysis with minimal user input.
Building a scalable workflow capable of supporting additional intelligence sources in the future.
Demonstrating practical AI integration within cybersecurity applications.

Our Role

Our team led the project from concept through implementation, including:
Product Strategy
Workflow Design
Threat Intelligence Integration
AI Prompt Engineering
UX Strategy
Interface Design
Buildship Workflow Development
API Integration
Structured Output Design
Testing & Validation

Our Process

1. Discovery & Security Workflow Design

We began by analyzing common threat investigation workflows used by security professionals and identifying opportunities to simplify the process through automation and AI-assisted reasoning.
The platform was designed to guide users through a streamlined experience that transforms raw indicators into meaningful security insights.
The workflow follows a clear progression:
Submit → Analyze → Assess Risk → Take Action

2. Threat Intelligence Integration

The platform intelligently routes submitted indicators to the appropriate security intelligence service.
IP addresses are analyzed through AbuseIPDB, while URLs and domains are evaluated using VirusTotal. Combining multiple intelligence sources improves the reliability and completeness of each assessment before AI processing begins.

3. AI-Powered Threat Analysis

Once intelligence data is collected, GPT-powered analysis evaluates the findings to identify potential risks, summarize technical information, and generate practical recommendations.
Instead of presenting raw API responses, the platform produces structured security reports that are easier to understand and significantly faster to act upon.
Each report includes:
Risk score.
Threat classification.
AI-generated security summary.
Actionable mitigation recommendations.

4. User Experience & Workflow

The interface was intentionally designed to reduce friction by requiring only a single input from the user.
A clean, dark-themed experience paired with node-based workflow visualization helps users understand how information flows through the system—from initial submission to intelligence gathering, AI analysis, and structured reporting.
Subtle animations and visual feedback reinforce the real-time nature of the scanning process while maintaining a focused and professional user experience.

Key Features

The completed platform includes:
IP, URL, and domain threat analysis.
AbuseIPDB and VirusTotal integration.
AI-generated security assessments.
Dynamic risk scoring and threat classification.
Structured JSON output for automation workflows.
Actionable security recommendations.
Node-based workflow visualization.
Responsive interface optimized for desktop and mobile devices.
Flexible architecture prepared for additional threat intelligence integrations.

Technology Stack

Threat Intelligence APIs

AbuseIPDB API
VirusTotal API

AI Analysis

GPT-Based Prompt Engineering

Development

Buildship

Data Output

Structured JSON Responses

Outcome

The final application delivers a streamlined threat intelligence experience that transforms technical security data into meaningful, actionable insights within seconds.
Key outcomes include:
Faster security investigations through automated intelligence aggregation.
Simplified threat interpretation using AI-generated summaries.
Improved decision-making with structured risk scoring and recommendations.
A user-friendly interface suitable for both cybersecurity professionals and learners.
A scalable foundation ready to support additional intelligence providers and advanced security workflows.

Key Takeaways

The AI Cyber Threat Analyzer demonstrates how artificial intelligence and modern threat intelligence platforms can work together to simplify cybersecurity investigations without sacrificing analytical depth.
By combining trusted security APIs, AI-powered reasoning, and an intuitive workflow, we created a platform that accelerates threat assessment, improves accessibility, and showcases how intelligent automation can enhance modern cybersecurity operations.
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Posted Feb 13, 2026

AI Cyber Threat Analyzer detects risks in IPs, URLs, and domains using AbuseIPDB & VirusTotal providing risk scores, threat types, and recommendations.