Intelligent network protection

Cyber attacks and misconfigured network equipment threaten the confidentiality of corporate data and system availability. iPro analyses traffic metadata using machine learning algorithms and our expert knowledge to identify and prevent cyber attacks early

How iPro Solves It

Our Delivery Approach

We perform anomaly detection in a standardized way—normalizing data, filtering false positives, detecting security incidents and providing early warning of breaches. iPro:

Retrieves and analyzes traffic metadata

from a large number of switching devices in physical, virtual and cloud environments without impacting system performance

Detects attacks and configuration errors

using quantitative techniques, machine learning algorithms, global lists of malicious sites, user authentication information, etc.

Prioritizes and responds

by analyzing incidents, identifying root causes and making recommendations for remediation

Creates regular event reports

by sending critical alerts and regularly reporting on the state of security
Business Outcomes

Quantified Impact That Matters

Enhanced protection

We protect critical data and infrastructure with early detection and rapid response to anomalies in data flows

Complete network visibility

All connections across both physical and virtual networks are inspected, providing a unique opportunity to identify a wide range of attacks and configuration errors

Data confidentiality

Business data is not extracted from systems, so its confidentiality is not compromised

Reduced downtime

We detect threats and performance issues at an early stage, which reduces downtime and ensures business continuity

Compliance with regulatory requirements and standards

NIS2, ISO, Cabinet Regulations on Minimum Requirements for Cyber Security (No 397), etc.
Best Fit For

Where This Service Shines

Regulated industries or critical systems with rigorous quality and security requirements

For companies with complex network infrastructures (both physical and virtual)

Organizations with limited IT security resources
Business Outcomes
Organisations