AI Cyber-Threat Intelligence Shield

Predict and prevent cyber attacks with proactive AI monitoring

Cybersecurity SaaS

Enterprise CISO teams, SaaS infrastructure leads, Managed Security Service Providers (MSSPs)

$18,000 – $28,000

Cybersecurity

Industry

Security Operations Platform

App Type

5–6 weeks

Timeline

Web Dashboard, Real-time Alert System

Platforms

Project Overview

What We Built

An end-to-end security observability layer that processes millions of events per second to provide clear, actionable threat intelligence.
Moves security from reactive to proactive, identifying threats before they penetrate the network and reducing mean-time-to-resolution (MTTR) by 85%.
Ideal for: Security-first startups, Financial institutions, Global infrastructure companies

The Challenge

Traditional security tools are overwhelmed by the sheer volume of data, leading to 'alert fatigue' and missed critical vulnerabilities.
Too many false positives
Lack of real-time context
Global talent shortage in SecOps

Our Solution

Integrate machine learning models that specifically look for behavior-based anomalies rather than just signature-based patterns.
Edge-based detection workers
AI-facilitated incident triaging

Results & Impact

Prevented a significant ransomware lateral movement during the pilot phase for a SaaS provider.
Proved AI predictive power
Drastic reduction in MTTR
High user trust in automation

Key Features & Scalability

Essential features and scalability measures that make this MVP powerful, user-friendly, and ready to grow.

Learn More

Behavioral AI Analysis

Identify malicious intent without needing known attack signatures.

Automated Response

Instantly isolate compromised nodes using AI-defined safety protocols.

Explainable AI Alerts

Every alert comes with a clear explanation of *why* the AI flagged it.

Scalable AWS infrastructure supporting ingestion of terabytes of log data daily.

Initial infrastructure setup designed for growth and expansion.

Scaling Strategy

Horizontal autoscaling pods, Dedicated event brokers

Engineered for 10,000,000+ events per individual enterprise tenant.

Traffic handling capability for high-volume concurrent users.

How We Built It

Our step-by-step development process from concept to deployment, ensuring quality and efficiency at every stage.

Global Data Stream setup

Connecting to diverse security feeds and VPC logs.

Model Training (Anomaly Detection)

Developing high-precision models to minimize false positives.

Dashboard Implementation

Building a high-visibility interface for rapid SecOps decision making.

Design System

Cyber-centric dark UI focus with clear priority indicators.

Wireframes

High-contrast, data-dense interface designed for 24/7 Security Operations Centers (SOCs).

Handoff Process

Rigorous security-vetting of all frontend components and API endpoints.

Core Product Modules

User App

Threat Intelligence Hub
Unified view of the global threat landscape and internal risks.
Anomaly Graph
Visual mapping of suspicious network behavior and potential breach paths.

Admin Panel

AI Policy Engine
Automated rule creation based on emerging threat patterns.
Compliance Auditor
Real-time mapping of technical controls to regulatory standards.

Technology Stack

We use modern tools to build AI apps that grow with you. We pick the best tools for each project, like React, Next.js, Python, and Go.

Performance & Security

Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.

Frontend Performance

Web Workers for data processing, Native dashboard components

Backend Performance

Concurrent event processing, Batch AI inference

Database Performance

Time-series data sharding, High-availability clusters

Authentication

Hardware-backed MFA and Zero-trust access controls.

Data Protection

Encrypted at rest and transit, Immutable audit logs

Security Best Practices

Air-gapped data analysis, Strict PII isolation

Performance & Security

Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.

Frontend Performance

Web Workers for data processing, Native dashboard components

Backend Performance

Concurrent event processing, Batch AI inference

Database Performance

Time-series data sharding, High-availability clusters

Authentication

Hardware-backed MFA and Zero-trust access controls.

Data Protection

Encrypted at rest and transit, Immutable audit logs

Security Best Practices

Air-gapped data analysis, Strict PII isolation

Project Timeline

Modeling & Ingestion

2 weeks

Data pipeline
Anomaly models

Platform Build

3 weeks

SecOps Dashboard
Alert layer
API Engine

Verification

1 week

Red-team audit
Final launch

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