AI Threat Detection

Advanced machine learning models that analyze behavioral patterns in real-time to identify zero-day threats, phishing attempts, trojans, and ransomware before they can cause damage.

How It Works

Behavioral Analysis

Monitors process execution, file access patterns, network connections, and registry modifications to detect anomalous behavior.

Machine Learning Models

Continuously trained on global threat intelligence and local patterns to recognize new attack vectors without signature updates.

Real-Time Classification

Categorizes threats as phishing, malware, trojans, privilege escalation, or intrusion attempts within milliseconds.

Zero-Day Protection

Identifies previously unknown threats by analyzing behavior instead of relying on known signatures.

Risk Scoring

Assigns a security score (0-100) to every detected threat with severity classification: info, medium, high, or critical.

Continuous Learning

AI models improve over time by learning from remediation outcomes and emerging threat patterns across your network.

Threats We Detect

Our AI analyzes behavioral patterns to identify and classify threats in real-time, providing detailed insights for each detection.

Phishing & Credential Harvesting

Detects fake login pages, email scams, and URL manipulation attempts

Trojans & Backdoors

Identifies remote access tools and hidden command-and-control connections

Ransomware Variants

Blocks WannaCry, Petya, and emerging encryption-based attacks

Privilege Escalation

Catches CVE exploits and attempts to gain unauthorized system access

Network Intrusions

Monitors port scanning, brute force attacks, and lateral movement

Suspicious Processes

Flags encoded PowerShell, unusual scripts, and malicious executables

Stop threats before they strike

Deploy AI-powered threat detection in minutes and protect your organization from modern cyber attacks.